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  • A minimalistic smart array (container) class template

    - by legends2k
    I've written a (array) container class template (lets call it smart array) for using it in the BREW platform (which doesn't allow many C++ constructs like STD library, exceptions, etc. It has a very minimal C++ runtime support); while writing this my friend said that something like this already exists in Boost called MultiArray, I tried it but the ARM compiler (RVCT) cries with 100s of errors. I've not seen Boost.MultiArray's source, I've started learning templates only lately; template meta programming interests me a lot, although am not sure if this is strictly one that can be categorized thus. So I want all my fellow C++ aficionados to review it ~ point out flaws, potential bugs, suggestions, optimizations, etc.; something like "you've not written your own Big Three which might lead to...". Possibly any criticism that will help me improve this class and thereby my C++ skills. Edit: I've used std::vector since it's easily understood, later it will be replaced by a custom written vector class template made to work in the BREW platform. Also C++0x related syntax like static_assert will also be removed in the final code. smart_array.h #include <vector> #include <cassert> #include <cstdarg> using std::vector; template <typename T, size_t N> class smart_array { vector < smart_array<T, N - 1> > vec; public: explicit smart_array(vector <size_t> &dimensions) { assert(N == dimensions.size()); vector <size_t>::iterator it = ++dimensions.begin(); vector <size_t> dimensions_remaining(it, dimensions.end()); smart_array <T, N - 1> temp_smart_array(dimensions_remaining); vec.assign(dimensions[0], temp_smart_array); } explicit smart_array(size_t dimension_1 = 1, ...) { static_assert(N > 0, "Error: smart_array expects 1 or more dimension(s)"); assert(dimension_1 > 1); va_list dim_list; vector <size_t> dimensions_remaining(N - 1); va_start(dim_list, dimension_1); for(size_t i = 0; i < N - 1; ++i) { size_t dimension_n = va_arg(dim_list, size_t); assert(dimension_n > 0); dimensions_remaining[i] = dimension_n; } va_end(dim_list); smart_array <T, N - 1> temp_smart_array(dimensions_remaining); vec.assign(dimension_1, temp_smart_array); } smart_array<T, N - 1>& operator[](size_t index) { assert(index < vec.size() && index >= 0); return vec[index]; } size_t length() const { return vec.size(); } }; template<typename T> class smart_array<T, 1> { vector <T> vec; public: explicit smart_array(vector <size_t> &dimension) : vec(dimension[0]) { assert(dimension[0] > 0); } explicit smart_array(size_t dimension_1 = 1) : vec(dimension_1) { assert(dimension_1 > 0); } T& operator[](size_t index) { assert(index < vec.size() && index >= 0); return vec[index]; } size_t length() { return vec.size(); } }; Sample Usage: #include "smart_array.h" #include <iostream> using std::cout; using std::endl; int main() { // testing 1 dimension smart_array <int, 1> x(3); x[0] = 0, x[1] = 1, x[2] = 2; cout << "x.length(): " << x.length() << endl; // testing 2 dimensions smart_array <float, 2> y(2, 3); y[0][0] = y[0][1] = y[0][2] = 0; y[1][0] = y[1][1] = y[1][2] = 1; cout << "y.length(): " << y.length() << endl; cout << "y[0].length(): " << y[0].length() << endl; // testing 3 dimensions smart_array <char, 3> z(2, 4, 5); cout << "z.length(): " << z.length() << endl; cout << "z[0].length(): " << z[0].length() << endl; cout << "z[0][0].length(): " << z[0][0].length() << endl; z[0][0][4] = 'c'; cout << z[0][0][4] << endl; // testing 4 dimensions smart_array <bool, 4> r(2, 3, 4, 5); cout << "z.length(): " << r.length() << endl; cout << "z[0].length(): " << r[0].length() << endl; cout << "z[0][0].length(): " << r[0][0].length() << endl; cout << "z[0][0][0].length(): " << r[0][0][0].length() << endl; // testing copy constructor smart_array <float, 2> copy_y(y); cout << "copy_y.length(): " << copy_y.length() << endl; cout << "copy_x[0].length(): " << copy_y[0].length() << endl; cout << copy_y[0][0] << "\t" << copy_y[1][0] << "\t" << copy_y[0][1] << "\t" << copy_y[1][1] << "\t" << copy_y[0][2] << "\t" << copy_y[1][2] << endl; return 0; }

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  • Are these hardwares compatible?

    - by Tom Kaufmann
    I am trying to upgrade my new machine but I want to do it myself. This is my 1st attempt at building system. After carefully reading reviewing feedback and my budget I have decided to select the below listed components. Can anybody let me know are they compatible or not? Transcend 64 GB 2.5" SATA Solid State Drive Asus GeForce GTX550 1GB DDR5 ENGTX550 TI DI/1GD5 Graphics Card Seagate Barracuda 1 TB HDD Internal Hard Drive Cooler Master eXtreme Power Pro 600 Power Supply Intel Core i5 2500K Sandy Bridge 3.30 GHz 95 W 4 Core Desktop Processor Intel DX79TO Motherboard Corsair CMZ8GX3M2A1600C9 8 GB DDR3 SDRAM 1600 MHz Dual Channel Kit Desktop Memory Sony AD-7260S-ZS Internal DVD Writer - Black Cooler Master Hyper TX3 EVO Intel CPU Cooler Cooler Master Elite 335U Cabinet LG E2051T 20.1 Inch SuperSlim Monitor Is any of these hardware components incompatible with I5 2500K? If you have any other suggestions for selecting any other harwdware that can boost up my performance or lower my cost while having the same performance, please suggest. But my primary questions is whether they are compatible or not! Any help is appreciated. Thank you.

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  • How can I change the default program installation directory in Windows 7?

    - by Max
    Windows 7 is installed on my C drive, which is quite small. I am very tired of instructing new programs to put their files on my larger D drive during installation; I would like to change the default drive. This article says that you can use a registry hack, but I am giving Microsoft the benefit of the doubt and naively assuming that a configuration option exists somewhere. It's 2010... do I really have to hack my registry to make a simple tweak like this? Also, there's a ServerFault question that explains how to move the "Users" directory and create a symlink, which could also work. However, at the moment I have some apps in C:\Program Files, some apps in C:\Program Files (x86), and some apps in the corresponding folders on D:\, so it would be a hassle. Also, my small OS boot drive is a 10k RPM WD Raptor, and I feel like that probably gives a speed boost to apps installed on it that need to read & write to their directories a bunch. I wonder if it actually matters.

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  • Build-Essentials installation failing

    - by Brickman
    I am having trouble accessing the several critical header files that show to be a part of the build process. The "Ubuntu Software Center" shows "Build Essentials" as installed: Next I did the following two commands, which did not improve the problem: ~$ sudo apt-get install build-essential [sudo] password for: Reading package lists... Done Building dependency tree Reading state information... Done build-essential is already the newest version. 0 upgraded, 0 newly installed, 0 to remove and 0 not upgraded. :~$ sudo apt-get install -f Reading package lists... Done Building dependency tree Reading state information... Done 0 upgraded, 0 newly installed, 0 to remove and 0 not upgraded. :~$ Dump of headers after installation attempts. > /usr/include/boost/interprocess/detail/atomic.hpp > /usr/include/boost/interprocess/smart_ptr/detail/sp_counted_base_atomic.hpp > /usr/include/qt4/Qt/qatomic.h /usr/include/qt4/Qt/qbasicatomic.h > /usr/include/qt4/QtCore/qatomic.h > /usr/include/qt4/QtCore/qbasicatomic.h > /usr/share/doc/git-annex/html/bugs/git_annex_unlock_is_not_atomic.html > /usr/src/linux-headers-3.11.0-15/arch/alpha/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/arc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/arm/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/arm64/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/avr32/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/blackfin/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/cris/include/arch-v10/arch/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/cris/include/arch-v32/arch/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/cris/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/frv/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/h8300/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/hexagon/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/ia64/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/m32r/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/m68k/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/metag/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/microblaze/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/mips/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/mn10300/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/parisc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/powerpc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/s390/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/score/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/sh/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/sparc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/tile/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/x86/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/xtensa/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/include/asm-generic/atomic.h > /usr/src/linux-headers-3.11.0-15/include/asm-generic/bitops/atomic.h > /usr/src/linux-headers-3.11.0-15/include/asm-generic/bitops/ext2-atomic.h > /usr/src/linux-headers-3.11.0-15/include/asm-generic/bitops/non-atomic.h > /usr/src/linux-headers-3.11.0-15/include/linux/atomic.h > /usr/src/linux-headers-3.11.0-15-generic/include/linux/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/alpha/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/arc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/arm/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/arm64/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/avr32/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/blackfin/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/cris/include/arch-v10/arch/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/cris/include/arch-v32/arch/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/cris/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/frv/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/h8300/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/hexagon/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/ia64/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/m32r/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/m68k/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/metag/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/microblaze/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/mips/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/mn10300/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/parisc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/powerpc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/s390/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/score/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/sh/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/sparc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/tile/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/x86/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/xtensa/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/include/asm-generic/atomic.h > /usr/src/linux-headers-3.11.0-17/include/asm-generic/bitops/atomic.h > /usr/src/linux-headers-3.11.0-17/include/asm-generic/bitops/ext2-atomic.h > /usr/src/linux-headers-3.11.0-17/include/asm-generic/bitops/non-atomic.h > /usr/src/linux-headers-3.11.0-17/include/linux/atomic.h > /usr/src/linux-headers-3.11.0-17-generic/include/linux/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/alpha/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/arc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/arm/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/arm64/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/avr32/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/blackfin/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/cris/include/arch-v10/arch/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/cris/include/arch-v32/arch/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/cris/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/frv/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/h8300/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/hexagon/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/ia64/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/m32r/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/m68k/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/metag/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/microblaze/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/mips/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/mn10300/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/parisc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/powerpc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/s390/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/score/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/sh/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/sparc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/tile/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/x86/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/xtensa/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/include/asm-generic/atomic.h > /usr/src/linux-headers-3.11.0-18/include/asm-generic/bitops/atomic.h > /usr/src/linux-headers-3.11.0-18/include/asm-generic/bitops/ext2-atomic.h > /usr/src/linux-headers-3.11.0-18/include/asm-generic/bitops/non-atomic.h > /usr/src/linux-headers-3.11.0-18/include/linux/atomic.h > /usr/src/linux-headers-3.11.0-18-generic/include/linux/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/alpha/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/arc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/arm/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/arm64/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/avr32/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/blackfin/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/cris/include/arch-v10/arch/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/cris/include/arch-v32/arch/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/cris/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/frv/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/h8300/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/hexagon/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/ia64/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/m32r/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/m68k/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/metag/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/microblaze/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/mips/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/mn10300/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/parisc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/powerpc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/s390/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/score/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/sh/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/sparc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/tile/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/x86/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/xtensa/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/include/asm-generic/atomic.h > /usr/src/linux-headers-3.11.0-19/include/asm-generic/bitops/atomic.h > /usr/src/linux-headers-3.11.0-19/include/asm-generic/bitops/ext2-atomic.h > /usr/src/linux-headers-3.11.0-19/include/asm-generic/bitops/non-atomic.h > /usr/src/linux-headers-3.11.0-19/include/linux/atomic.h > /usr/src/linux-headers-3.11.0-19-generic/include/linux/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/alpha/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/arc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/arm/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/arm64/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/avr32/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/blackfin/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/cris/include/arch-v10/arch/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/cris/include/arch-v32/arch/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/cris/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/frv/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/h8300/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/hexagon/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/ia64/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/m32r/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/m68k/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/metag/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/microblaze/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/mips/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/mn10300/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/parisc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/powerpc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/s390/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/score/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/sh/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/sparc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/tile/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/x86/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/xtensa/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/include/asm-generic/atomic.h > /usr/src/linux-headers-3.11.0-20/include/asm-generic/bitops/atomic.h > /usr/src/linux-headers-3.11.0-20/include/asm-generic/bitops/ext2-atomic.h > /usr/src/linux-headers-3.11.0-20/include/asm-generic/bitops/non-atomic.h > /usr/src/linux-headers-3.11.0-20/include/linux/atomic.h > /usr/src/linux-headers-3.11.0-20-generic/include/linux/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/alpha/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/arc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/arm/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/arm64/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/avr32/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/blackfin/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/cris/include/arch-v10/arch/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/cris/include/arch-v32/arch/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/cris/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/frv/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/h8300/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/hexagon/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/ia64/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/m32r/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/m68k/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/metag/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/microblaze/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/mips/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/mn10300/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/parisc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/powerpc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/s390/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/score/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/sh/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/sparc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/tile/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/x86/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/xtensa/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/include/asm-generic/atomic.h > /usr/src/linux-headers-3.11.0-22/include/asm-generic/bitops/atomic.h > /usr/src/linux-headers-3.11.0-22/include/asm-generic/bitops/ext2-atomic.h > /usr/src/linux-headers-3.11.0-22/include/asm-generic/bitops/non-atomic.h > /usr/src/linux-headers-3.11.0-22/include/linux/atomic.h > /usr/src/linux-headers-3.11.0-22-generic/include/linux/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/alpha/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/arc/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/arm/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/arm64/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/avr32/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/blackfin/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/cris/include/arch-v10/arch/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/cris/include/arch-v32/arch/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/cris/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/frv/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/hexagon/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/ia64/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/m32r/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/m68k/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/metag/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/microblaze/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/mips/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/mn10300/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/parisc/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/powerpc/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/s390/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/score/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/sh/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/sparc/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/tile/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/x86/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/xtensa/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/include/asm-generic/atomic.h > /usr/src/linux-headers-3.14.4-031404/include/asm-generic/bitops/atomic.h > /usr/src/linux-headers-3.14.4-031404/include/asm-generic/bitops/ext2-atomic.h > /usr/src/linux-headers-3.14.4-031404/include/asm-generic/bitops/non-atomic.h > /usr/src/linux-headers-3.14.4-031404/include/linux/atomic.h > /usr/src/linux-headers-3.14.4-031404-generic/include/linux/atomic.h > /usr/src/linux-headers-3.14.4-031404-lowlatency/include/linux/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/alpha/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/arc/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/arm/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/arm64/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/avr32/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/blackfin/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/cris/include/arch-v10/arch/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/cris/include/arch-v32/arch/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/cris/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/frv/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/h8300/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/hexagon/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/ia64/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/m32r/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/m68k/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/metag/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/microblaze/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/mips/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/mn10300/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/parisc/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/powerpc/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/s390/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/score/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/sh/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/sparc/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/tile/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/x86/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/xtensa/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/include/asm-generic/atomic.h > /usr/src/linux-lts-saucy-3.11.0/include/asm-generic/bitops/atomic.h > /usr/src/linux-lts-saucy-3.11.0/include/asm-generic/bitops/ext2-atomic.h > /usr/src/linux-lts-saucy-3.11.0/include/asm-generic/bitops/non-atomic.h > /usr/src/linux-lts-saucy-3.11.0/include/linux/atomic.h > /usr/src/linux-lts-saucy-3.11.0/ubuntu/lttng/lib/ringbuffer/vatomic.h > /usr/src/linux-lts-saucy-3.11.0/ubuntu/lttng/wrapper/ringbuffer/vatomic.h > /usr/src/linux-lts-saucy-3.11.0/ubuntu/lttng-modules/lib/ringbuffer/vatomic.h > /usr/src/linux-lts-saucy-3.11.0/ubuntu/lttng-modules/wrapper/ringbuffer/vatomic.h Yes, I know there are multiple headers of the same type here, but they are different versions. Version "linux-headers-3.14.4-031404" shows to be the latest. Ubuntu shows "Nothing needed to be installed." However, the following C/C++ headers files show to be missing for Eclipse and QT4. #include <linux/version.h> #include <linux/module.h> #include <linux/socket.h> #include <linux/miscdevice.h> #include <linux/list.h> #include <linux/vmalloc.h> #include <linux/slab.h> #include <linux/init.h> #include <asm/uaccess.h> #include <asm/atomic.h> #include <linux/delay.h> #include <linux/usb.h> This problem appears on my 32-bit version of Ubuntu and on both of my 64-bit versions. What I am doing wrong?

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  • 5 reason why you should upgrade to new iPad (3rd generation)

    - by Gopinath
    Apple released the new iPad, 3rd generation, couple of days ago and they will be available in stores from March 16 onwards.  It’s the best tablet available in the market and for first time buyers it’s a no brainer to choose it. What about the iPad owners? Should they upgrade their iPad 2 to the new iPad? This is the question on the lips of most of the iPad owners. In this post we will provide you 5 reasons why you should upgrade your iPad, if more than two reasons are convincing then you should upgrade to the new iPad. Retina display – The best display ever made for mobile device, a game changer The new iPad comes with Retina display with screen resolution of 2048 x 1536, which is twice the resolution of iPad 2. Undoubtedly the iPad 3’s display is the best display ever made for a mobile device and it’s a game changer. With better resolution on iPad 3 eBook reading is going to be a pleasure with clear and crisp text Watching HD movies on iPad is going to be unbelievably good The new Games targeted for Retina display are going to be more realistic and needless to explain the pleasure of playing such games Graphic artists and photo editors get a professional on screen rendering support to create beautiful graphics 2x Faster & 2x Memory – Better Games and powerful Apps The new iPad is more powerful with 2x faster graphics and 2x more memory. Apple claims that the A5x processor of new iPad is 2x faster than iPad 2 and 4x faster than the best graphic chips available from other vendors. The RAM of  new iPad  is upgraded to 1 GB compared from 512 MB of iPad 2. With the fast processor and more memory, Apps and games are going to be blazing fast. 4G Internet – Browse the web at the speeds of 42 MB/sec Half of the iPad owners are frequent commuters who access internet over cellular networks, the new iPad’s 4G LTE is going to be a big boom for their  high data access needs. With the new iPad’s 4G LTE connectivity you can browse the web at 42 MB/sec and it mean you can watch a HD video without buffering issues. iPad 2 comes with 3G network support and it’s browsing speeds are way less than the new iPad. 5MP Camera – HD Movie Recording & gorgeous Photography iPad 2 has a 0.7 mega pixel camera and the new iPad comes with 5 megapixels camera. That is a huge boost for hobbyist  photographers and videographers. With the new iPad you can shoot gorgeous photos and 1080p HD video. The iSight camera of new iPad uses advanced optics with features like auto exposure, auto focus and face detection up to 10 faces. Amazon Pays up to $300 for old iPad 2 16 GB Wifi and more for other models Do you know that you can trade in your iPad 2 16 GB Wifi for upto $300? Amazon has an excellent trade in program for selling your used iPad 2s. Depending on the condition of the iPad 2  Amazon offers $234, $270, $300.00 for 16 GB Wifi versions that in Acceptable, Good and Like New conditions respectively.  The higher models of iPad 2s fetch you more money. With this great deal from Amazon the amount of extra money you need to spend for new iPad is almost half of their price. Visit Amazon Trade In’s website or read Amazon’s brilliant plan to pay you crazy money for your iPad 2 for more details. Related: New IPad Vs. IPad 2–Side By Side Comparison Of Hardware Specification [Infographic]

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  • Measuring ASP.NET and SharePoint output cache

    - by DigiMortal
    During ASP.NET output caching week in my local blog I wrote about how to measure ASP.NET output cache. As my posting was based on real work and real-life results then I thought that this posting is maybe interesting to you too. So here you can read what I did, how I did and what was the result. Introduction Caching is not effective without measuring it. As MVP Henn Sarv said in one of his sessions then you will get what you measure. And right he is. Lately I measured caching on local Microsoft community portal to make sure that our caching strategy is good enough in environment where this system lives. In this posting I will show you how to start measuring the cache of your web applications. Although the application measured is built on SharePoint Server publishing infrastructure, all those counters have same meaning as similar counters under pure ASP.NET applications. Measured counters I used Performance Monitor and the following performance counters (their names are similar on ASP.NET and SharePoint WCMS): Total number of objects added – how much objects were added to output cache. Total object discards – how much objects were deleted from output cache. Cache hit count – how many times requests were served by cache. Cache hit ratio – percent of requests served from cache. The first three counters are cumulative while last one is coefficient. You can use also other counters to measure the full effect of caching (memory, processor, disk I/O, network load etc before and after caching). Measuring process The measuring I describe here started from freshly restarted web server. I measured application during 12 hours that covered also time ranges when users are most active. The time range does not include late evening hours and night because there is nothing to measure during these hours. During measuring we performed no maintenance or administrative tasks on server. All tasks performed were related to usual daily content management and content monitoring. Also we had no advertisement campaigns or other promotions running at same time. The results You can see the results on following graphic.   Total number of objects added   Total object discards   Cache hit count   Cache hit ratio You can see that adds and discards are growing in same tempo. It is good because cache expires and not so popular items are not kept in memory. If there are more popular content then the these lines may have bigger distance between them. Cache hit count grows faster and this shows that more and more content is served from cache. In current case it shows that cache is filled optimally and we can do even better if we tune caches more. The site contains also pages that are discarded when some subsite changes (page was added/modified/deleted) and one modification may affect about four or five pages. This may also decrease cache hit count because during day the site gets about 5-10 new pages. Cache hit ratio is currently extremely good. The suggested minimum is about 85% but after some tuning and measuring I achieved 98.7% as a result. This is due to the fact that new pages are most often requested and after new pages are added the older ones are requested only sometimes. So they get discarded from cache and only some of these will return sometimes back to cache. Although this may also indicate the need for additional SEO work the result is very well in technical means. Conclusion Measuring ASP.NET output cache is not complex thing to do and you can start by measuring performance of cache as a start. Later you can move on and measure caching effect to other counters such as disk I/O, network, processors etc. What you have to achieve is optimal cache that is not full of items asked only couple of times per day (you can avoid this by not using too long cache durations). After some tuning you should be able to boost cache hit ratio up to at least 85%.

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  • Tap Into Tier 1 ERP

    - by Christine Randle
    By: Larry Simcox, Senior Director, Accelerate Corporate Programs     Your customers aren’t satisfied with so-so customer service. Your employees aren’t happy with below average salaries.   So why would you settle for second-rate or tier 2 ERP?   A recent report from Nucleus Research found that usability improvements and rapid implementation tools are simplifying deployments, putting tier 1 enterprise applications well within reach for midsize companies. So how can your business tap into the power of tier 1 ERP? And what are the best ways to manage a deployment?   The Reputation of ERP Implementations Overhauling internal operations and implementing ERP can be a challenging endeavor for organizations of all sizes. Midsize companies often shy away from enterprise-class ERP, fearing complexity, limited resources and perceived challenging deployments. Many forward thinking executives experienced ERP implementations in the late 90s and early 2000s and embrace a strategy to grow their business by investing in a foundation for innovation and growth via ERP modernization projects.   In recent years there has been a strong consumerization of IT with enterprise applications and their delivery methods evolving to become more user-friendly.  Today, usability improvements and modern implementation tools have made top-tier ERP solutions more accessible for growing companies. Nucleus found that because enterprise-class software can now be rapidly deployed, the payback is quicker, the risks are lower, the software is less disruptive and overall, companies can differentiate themselves from their competitors and achieve more success with the advantages these types of systems deliver.   Tapping into the power of tier 1 ERP can be made much easier with Oracle Accelerate solutions. Created by Oracle's expert partners and reviewed by Oracle, Oracle Accelerate solutions are simple to deploy, industry-specific, packaged solutions that provide a fast time to benefit, which means getting the right solution in place quickly, inexpensively with a controlled scope and predictable returns.   How are growing midsize companies successfully deploying tier 1 ERP? According to Nucleus Research, companies can increase success in their tier 1 ERP deployments by limiting customization, planning a rapid go-live, bettering communication across departments, and considering different delivery options. Oracle Accelerate solutions incorporate industry best practices and encourage rapid deployments. And even more, Nucleus found customers deploying tier 1 ERP with Oracle that had used Oracle Business Accelerators, Oracle’s rapid implementation tools, reduced the time to deploy Oracle E-Business Suite by at least 50 percent.   Industrial manufacturer L.H. Dottie is one company that needed ERP with enhanced capabilities to support its growth and streamline business processes. Using out-of-the-box configuration of Oracle E-Business Suite modules (provided by Oracle Business Accelerators and delivered by Oracle Partner C3 Business Solutions), L.H. Dottie was able to speed its implementation and went live in just six and a half months. With tier 1 ERP, the company was able to grow and do its business better, automating a variety of processes, accelerating product delivery and gaining powerful data analysis capabilities that helped drive its business into further regions. See more details about their ERP implementation here.   Tier 1 enterprise-class applications have proven to boost the success of Oracle’s midsize customers. As Nucleus Research iterates, companies poised for growth or seeking to compete against larger competitors absolutely can tap into the power of tier 1 ERP and position themselves as enterprise-class through leveraging Oracle Accelerate solutions.   You can learn more here about The Evolving Business Case for Tier - 1 ERP in Midsize Companies in our exclusive webcast with Nucleus.   ###  

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  • Adding custom interfaces to your mock instance.

    - by mehfuzh
    Previously, i made a post  showing how you can leverage the dependent interfaces that is implemented by JustMock during the creation of mock instance. It could be a informative post that let you understand how JustMock behaves internally for class or interfaces implement other interfaces into it. But the question remains, how you can add your own custom interface to your target mock. In this post, i am going to show you just that. Today, i will not start with a dummy class as usual rather i will use two most common interfaces in the .NET framework  and create a mock combining those. Before, i start i would like to point out that in the recent release of JustMock we have extended the Mock.Create<T>(..) with support for additional settings though closure. You can add your own custom interfaces , specify directly the real constructor that should be called or even set the behavior of your target. Doing a fast forward directly to the point,  here goes the test code for create a creating a mock that contains the mix for ICloneable and IDisposable using the above mentioned changeset. var myMock = Mock.Create<IDisposable>(x => x.Implements<ICloneable>()); var myMockAsClonable = myMock as ICloneable; bool isCloned = false;   Mock.Arrange(() => myMockAsClonable.Clone()).DoInstead(() => isCloned = true);   myMockAsClonable.Clone();   Assert.True(isCloned);   Here, we are creating the target mock for IDisposable and also implementing ICloneable. Finally, using the “as” for getting the ICloneable reference accordingly arranging it, acting on it and asserting if the expectation is met properly. This is a very rudimentary example, you can do the same for a given class: var realItem = Mock.Create<RealItem>(x => {     x.Implements<IDisposable>();     x.CallConstructor(() => new RealItem(0)); }); var iDispose = realItem as IDisposable;     iDispose.Dispose(); Here, i am also calling the real constructor for RealItem class.  This is to mention that you can implement custom interfaces only for non-sealed classes or less it will end up with a proper exception. Also, this feature don’t require any profiler, if you are agile or running it inside silverlight runtime feel free to try it turning off the JM add-in :-). TIP :  Ability to  specify real constructor could be a useful productivity boost in cases for code change and you can re-factor the usage just by one click with your favorite re-factor tool.   That’s it for now and hope that helps Enjoy!!

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  • C#: A "Dumbed-Down" C++?

    - by James Michael Hare
    I was spending a lovely day this last weekend watching my sons play outside in one of the better weekends we've had here in Saint Louis for quite some time, and whilst watching them and making sure no limbs were broken or eyes poked out with sticks and other various potential injuries, I was perusing (in the correct sense of the word) this month's MSDN magazine to get a sense of the latest VS2010 features in both IDE and in languages. When I got to the back pages, I saw a wonderful article by David S. Platt entitled, "In Praise of Dumbing Down"  (msdn.microsoft.com/en-us/magazine/ee336129.aspx).  The title captivated me and I read it and found myself agreeing with it completely especially as it related to my first post on divorcing C++ as my favorite language. Unfortunately, as Mr. Platt mentions, the term dumbing-down has negative connotations, but is really and truly a good thing.  You are, in essence, taking something that is extremely complex and reducing it to something that is much easier to use and far less error prone.  Adding safeties to power tools and anti-kick mechanisms to chainsaws are in some sense "dumbing them down" to the common user -- but that also makes them safer and more accessible for the common user.  This was exactly my point with C++ and C#.  I did not mean to infer that C++ was not a useful or good language, but that in a very high percentage of cases, is too complex and error prone for the job at hand. Choosing the correct programming language for a job is a lot like choosing any other tool for a task.  For example: if I want to dig a French drain in my lawn, I can attempt to use a huge tractor-like backhoe and the job would be done far quicker than if I would dig it by hand.  I can't deny that the backhoe has the raw power and speed to perform.  But you also cannot deny that my chances of injury or chances of severing utility lines or other resources climb at an exponential rate inverse to the amount of training I may have on that machinery. Is C++ a powerful tool?  Oh yes, and it's great for those tasks where speed and performance are paramount.  But for most of us, it's the wrong tool.  And keep in mind, I say this even though I have 17 years of experience in using it and feel myself highly adept in utilizing its features both in the standard libraries, the STL, and in supplemental libraries such as BOOST.  Which, although greatly help with adding powerful features quickly, do very little to curb the relative dangers of the language. So, you may say, the fault is in the developer, that if the developer had some higher skills or if we only hired C++ experts this would not be an issue.  Now, I will concede there is some truth to this.  Obviously, the higher skilled C++ developers you hire the better the chance they will produce highly performant and error-free code.  However, what good is that to the average developer who cannot afford a full stable of C++ experts? That's my point with C#:  It's like a kinder, gentler C++.  It gives you nearly the same speed, and in many ways even more power than C++, and it gives you a much softer cushion for novices to fall against if they code less-than-optimally.  A bug is a bug, of course, in any language, but C# does a good job of hiding and taking on the task of handling almost all of the resource issues that make C++ so tricky.  For my money, C# is much more maintainable, more feature-rich, second only slightly in performance, faster to market, and -- last but not least -- safer and easier to use.  That's why, where I work, I much prefer to see the developers moving to C#.  The quantity of bugs is much lower, and we don't need to hire "experts" to achieve the same results since the language itself handles those resource pitfalls so prevalent in poorly written C++ code.  C++ will still have its place in the world, and I'm sure I'll still use it now and again where it is truly the correct tool for the job, but for nearly every other project C# is a wonderfully "dumbed-down" version of C++ -- in the very best sense -- and to me, that's the smart choice.

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  • Have you ever wondered...?

    - by diana.gray
    I've often wondered why folks do the same thing over and over. For some of us, it's because we "don't get it" and there's an abundance of TV talk shows that will help us analyze the why of it. Dr. Phil is all too eager to ask "...and how's that working for you?". But I'm not referring to being stuck in a destructive pattern or denial. I'm really talking about doing something over and over because you have found a joy, a comfort, a boost of energy from an activity or event. For example, how many times have I planted bulbs in November or December only to be amazed by their reach, colors, and fragrance in early spring? Or baked fresh cookies and allowed the aroma to fill the house? Or kissed a sleeping baby held gently in my arms and being reminded of how tiny and fragile we all are. I've often wondered why it is that I get so much out of something I've done so many times. I think it's because I've changed. The activity may be the same but in the preceding days, months and years I've had new experiences, challenges, joys and sorrows that have shaped me. I'm different. The same is true about attending the Professional Businesswomen of California (PBWC) conference. Although the conference is an annual event held at San Francisco's Moscone Center, I still enjoy being with 3,000 other women like me. Yes, we work at different companies and in different industries, have different lifestyles and are at different stages in our professional careers and personal lives; but we are all alike in that we bring the NEW me each year that we attend. This year I can cheer when Safra Catz, President of Oracle, encourages us to trust our intuition; that "if something doesn't make sense, it doesn't make sense". And I can warmly introduce myself to Lisa Askins, Cheryl Melching's business partner at Center Stage Group, when I would have been too intimated to do so last year. This year I can commit to new challenges such as "no whining, no excuses and no gossip" as suggested by Roxanne Emmerich, a goal that I would have wavered on last year. I can also embrace the suggestion given by Dr. Ian Smith to "spend one hour each day" on me - giving myself time to rejuvenate. A friend, when asked if she was attending PBWC this year, said "I've attended the conference several times and there's nothing new!" My perspective is that WE are what makes PBWC's annual conference new. We are far different in 2010 than we were in 2009. We are learning, growing, developing and shedding and that's what makes the conference fresh, vibrant, rewarding, and lasting. It is the diversity of women coming together that makes it new. By sharing our experiences, we discover. By meeting with one another professionally and personally, we connect. And by applying the wisdom learned, we shine. We are reNEW-ed. It shows in our fresh ideas, confident interactions, strategic decisions and successful businesses. This refreshed approach is what our companies want and need, our families depend on, our communities and nation look to for creative solutions to pressing concerns. Thanks Oracle for your continued support and thanks PBWC for providing an annual day to be reNEW-ed.

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  • Critical Threads Optimization

    - by Rafael Vanoni
    Background One of the more common issues we've been seeing in the field is the growing difficulty in optimizing performance of multi-threaded applications. A good portion of this difficulty is due to the increasing complexity of modern processors that present various degrees of sharing relationships between hardware components. Take any current CMT processor and you'll find any number of CPUs sharing execution pipelines, floating point units, caches, etc. Consequently, applying the traditional recipe of one software thread for each CPU will have varying degrees of success, according to the layout of the underlying hardware. On top of this increasing complexity we've also seen processors with features that aim at dynamically resourcing software threads according to their utilization. Intel's Turbo Boost allows processors to increase their operating frequency if there is enough thermal headroom available and the processor isn't fully utilized. More recently, the SPARC T4 processor introduced dynamic threading, allowing each core to dynamically allocate more resources to its active CPUs. Both cases are in essence recognizing that current processors will be running a wide mix of workloads, some will be designed for throughput, others for low latency. The hardware is providing mechanisms to dynamically resource threads according to their runtime behavior. We're very aware of these challenges in Solaris, and have been working to provide the best out of box performance while providing mechanisms to further optimize applications when necessary. The Critical Threads Optimzation was introduced in Solaris 10 8/11 and Solaris 11 as one such mechanism that allows customers to both address issues caused by contention over shared hardware resources and explicitly take advantage of features such as T4's dynamic threading. What it is The basic idea is to allow performance critical threads to execute with more exclusive access to hardware resources. For example, when deploying an application that implements a producer/consumer model, it'll likely be advantageous to give the producer more exclusive access to the hardware instead of having it competing for resources with all the consumers. In the case of a T4 based system, we may want to have a producer running by itself on a single core and create one consumer for each of the remaining CPUs. With the Critical Threads Optimization we're extending the semantics of scheduling priorities (which thread should run first) to include priority over shared resources (which thread should have more "space"). Now the scheduler will not only run higher priority threads first: it will also provide them with more exclusive access to hardware resources if they are available. How does it work ? Using the previous example in Solaris 11, all you'd have to do would be to place the producer in the Fixed Priority (FX) scheduling class at priority 60, or in the Real Time (RT) class at any priority and Solaris will try to give it more "hardware space". On both Solaris 10 8/11 and Solaris 11 this can be achieved through the existing priocntl(1,2) and priocntlset(2) interfaces. If your application already assigns these priorities to performance critical threads, there's no additional step you need to take. One important aspect of this optimization is that it requires some level of idleness in the system, either as a result of sizing the application before hand or through periods of transient idleness during runtime. If the system is fully committed, the scheduler will put all the available CPUs to work.Best practices If you're an application developer, we encourage you to look into assigning the right priorities for the different threads in your application. Solaris provides different scheduling classes (Time Share, Interactive, Fair Share, Fixed Priority and Real Time) that offer different policies and behaviors. It is not always simple to figure out which set of threads are critical to the performance of a workload, and it may not always be feasible to take advantage of this optimization, but we believe that this can be correctly (and safely) done during development. Overall, the out of box performance in Solaris should meet your workload's requirements. If you are looking into that extra bit of performance, then the Critical Threads Optimization may be what you're looking for.

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  • Two Candidates + One Job = Two Different Outcomes

    - by david.talamelli
    Recruiters have always headhunted (sidenote: I do not like this word, in general I think the type of people who use the phrase “headhunting” are the ones who are trying to sound more important than what they likely are). Any serious Recruiter engages in direct recruiting activity, it is part and parcel of the business it is not something unique. With the uptake in Social Media the past 4-5 years, we have seen an increase in the number of Recruiters proactively reaching out to people about job opportunities. We have also seen this activity increase across all levels of hire, from help desk roles to C-Level Executives. While getting approached about a role can be a nice boost to a person’s ego, do not let it give you an inflated sense of entitlement. It is The way that people handle themselves during these calls and subsequent interviews will have a large impact on their potential to land that job. Last week I spoke to two very different candidates, both about the same position and both with very different outcomes. On paper, Candidate #1 looked fantastic; they ticked many of the boxes that we were looking for. The person is working at global IT company and working in a similar role as the one we were hiring for but not in as senior as the role we had. This role would have been the perfect step to getting involved in more complex work for the person. Candidate #2 had less polished IT experience, ticked some of the boxes we were looking for and on paper in comparison to Candidate #1 was not as close a fit as Candidate #1 was. It seemed like I was comparing apples and oranges. After speaking to both candidates it turns out I was comparing apples and oranges except the person better suited for our role was not the one I was expecting it would be. The first candidate on paper looked great – they had the experience we were looking for and appeared to be just right for the role, but after talking to them, they gave me the impression that they thought the world owed them. The impression I was left with was that they did not equate success with hard work, they seemed more interested in “what is in it for me”. Rather than having a proper conversation with me, I was often cut off and asked to hurry it up when explaining our business, what we are doing, etc... . This person seemed more interested in the job title and money than how rather than think about ways to make the role successful. Candidate #2 who had limited experience, made up for any perceived lack of experience and them some with a demonstrated motivation to succeed and do the things needed to make that happen. Candidate #2 made a great first impression, they did not seem afraid of hard work and demonstrated a “team player” attitude. In talking to them they kept me engaged, listened and asked thoughtful questions that made me think this is the type of person who creates their own luck and who would thrive in a place like Oracle. Skills, capabilities, experience and a good resume can certainly get your foot in the door, but the wrong attitude or approach to work can close those opportunities just as easily. On the other hand, hard work, effort and a genuine work ethic may help open those doors that would otherwise closed for you. A resume with all the credentials gets you in the front door but that is just the beginning of the process. It is not how we start the race that is important, it’s how things end that matter most.

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  • Educational, well-written FOSS projects to read, study or discuss

    - by Godot
    Before you say it: yes, this "question" has been asked other times. However, I could not fine many of such questions and not that easily, and those I found had similar results. What I'm trying to say that there are no comprehensive lists of well written Open Source projects, so I decided to set some requirements for the entries (one or possibly more): Idiomatic use of the language in which they are written The project should be lightweight. Not as in "a few kbs", as in "clean" and possibly following the UNIX philosophy, making an efficient use of resources and performing its duty and nothing more. No code bloat, most importantly. Projects like Firefox and GNOME wouldn't qualify, for example. Minimal reliance on external, non-standard libraries, with exceptions for some common FOSS libraries (curses, Xlib, OpenGL and possibly "usual suspects" like gtk+, webkit and Boost). Reliance on well-written libraries is welcome. No reliance on proprietary software - for obvious reasons (programs that rely on XNA, DirectX, Cocoa and similar, for example). Well-documented code is welcome. Include link to web interfaces to their repositories if possible. Here are some sample projects that often pop up in these threads: Operating Systems Plan 9 from Bell Labs: More or less, the official "sequel" to UNIX. Written in C by the same people who invented C! NetBSD: The most portable BSD implementation, written in C and also a good example of portable and organized code. Network and Databases Sqlite: Extremely lightweight and extremely efficient, one of the best pieces of C software I've seen. Count the lines yourself! Lighttpd: A small but pretty reliable web server written in C. Programming languages and VMs Lua: extremely lightweight multi-paradigm programming language. Written in C. Tiny C Compiler: Really tiny C compiler. Not really comparable to GCC or Clang but does its job. PyPy: A Python implementation written in Python. Pharo: OK, I admit it, I'm not really a Smalltalk expert but Pharo is a fork of Squeak and looked rather interesting. Stackless Python - An implementation of Python that doesn't rely on the C call stack - written in C (with some parts in Python) Games and 3D: Angband: One of the most accessible roguelike codebases around here, written in C. Ogre3D: Cross-platform 3D engine. Gets bloated if you don't skip the platform-specific implementation code, otherwise is a pretty solid example of good C++ OO. Simon Tatham's Portable Puzzle Collection: Title says it all. Other - dwm: Lightweight window manager. Written in C. Emulation and Reverse Engineering - Bochs: x86 emulator, written in C++ and tiny enough. - MAME: If you want to see C at one of its lowest levels, MAME is for you. May not be as clean as the other projects but it can teach you A LOT. Before you ask: I didn't mention Linux because it has become quite bloated in the last few years, Linus has also confirmed it. Nonetheless, it'd be a great educational read the same, even if for other reasons. Same for GCC. Feel free to edit or wikify my post. I hope you won't lock my question, I'm only trying to organize a little community effort for the good of all those people who want to enhance their coding skills.

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  • Incomplete upgrade 12.04 to 12.10

    - by David
    Everything was running smoothly. Everything had been downloaded from Internet, packages had been installed and a prompt asked for some obsolete programs/files to be removed or kept. After that the computer crashed and and to manually force a shutdown. I turned it on again and surprise I was on 12.10! Still the upgrade was not finished! How can I properly finish that upgrade? Here's the output I got in the command line after following posted instructions: i astrill - Astrill VPN client software i dayjournal - Simple, minimal, digital journal. i gambas2-gb-form - A gambas native form component i gambas2-gb-gtk - The Gambas gtk component i gambas2-gb-gtk-ext - The Gambas extended gtk GUI component i gambas2-gb-gui - The graphical toolkit selector component i gambas2-gb-qt - The Gambas Qt GUI component i gambas2-gb-settings - Gambas utilities class i A gambas2-runtime - The Gambas runtime i google-chrome-stable - The web browser from Google i google-talkplugin - Google Talk Plugin i indicator-keylock - Indicator for Lock Keys i indicator-ubuntuone - Indicator for Ubuntu One synchronization s i A language-pack-kde-zh-hans - KDE translation updates for language Simpl i language-pack-kde-zh-hans-base - KDE translations for language Simplified C i libapt-inst1.4 - deb package format runtime library idA libattica0.3 - a Qt library that implements the Open Coll idA libbabl-0.0-0 - Dynamic, any to any, pixel format conversi idA libboost-filesystem1.46.1 - filesystem operations (portable paths, ite idA libboost-program-options1.46.1 - program options library for C++ idA libboost-python1.46.1 - Boost.Python Library idA libboost-regex1.46.1 - regular expression library for C++ i libboost-serialization1.46.1 - serialization library for C++ idA libboost-signals1.46.1 - managed signals and slots library for C++ idA libboost-system1.46.1 - Operating system (e.g. diagnostics support idA libboost-thread1.46.1 - portable C++ multi-threading i libcamel-1.2-29 - Evolution MIME message handling library i libcmis-0.2-0 - CMIS protocol client library i libcupsdriver1 - Common UNIX Printing System(tm) - Driver l i libdconf0 - simple configuration storage system - runt i libdvdcss2 - Simple foundation for reading DVDs - runti i libebackend-1.2-1 - Utility library for evolution data servers i libecal-1.2-10 - Client library for evolution calendars i libedata-cal-1.2-13 - Backend library for evolution calendars i libedataserver-1.2-15 - Utility library for evolution data servers i libexiv2-11 - EXIF/IPTC metadata manipulation library i libgdu-gtk0 - GTK+ standard dialog library for libgdu i libgdu0 - GObject based Disk Utility Library idA libgegl-0.0-0 - Generic Graphics Library idA libglew1.5 - The OpenGL Extension Wrangler - runtime en i libglew1.6 - OpenGL Extension Wrangler - runtime enviro i libglewmx1.6 - OpenGL Extension Wrangler - runtime enviro i libgnome-bluetooth8 - GNOME Bluetooth tools - support library i libgnomekbd7 - GNOME library to manage keyboard configura idA libgsoap1 - Runtime libraries for gSOAP i libgweather-3-0 - GWeather shared library i libimobiledevice2 - Library for communicating with the iPhone i libkdcraw20 - RAW picture decoding library i libkexiv2-10 - Qt like interface for the libexiv2 library i libkipi8 - library for apps that want to use kipi-plu i libkpathsea5 - TeX Live: path search library for TeX (run i libmagickcore4 - low-level image manipulation library i libmagickwand4 - image manipulation library i libmarblewidget13 - Marble globe widget library idA libmusicbrainz4-3 - Library to access the MusicBrainz.org data i libnepomukdatamanagement4 - Basic Nepomuk data manipulation interface i libnux-2.0-0 - Visual rendering toolkit for real-time app i libnux-2.0-common - Visual rendering toolkit for real-time app i libpoppler19 - PDF rendering library i libqt3-mt - Qt GUI Library (Threaded runtime version), i librhythmbox-core5 - support library for the rhythmbox music pl i libusbmuxd1 - USB multiplexor daemon for iPhone and iPod i libutouch-evemu1 - KernelInput Event Device Emulation Library i libutouch-frame1 - Touch Frame Library i libutouch-geis1 - Gesture engine interface support i libutouch-grail1 - Gesture Recognition And Instantiation Libr idA libx264-120 - x264 video coding library i libyajl1 - Yet Another JSON Library i linux-headers-3.2.0-29 - Header files related to Linux kernel versi i linux-headers-3.2.0-29-generic - Linux kernel headers for version 3.2.0 on i linux-image-3.2.0-29-generic - Linux kernel image for version 3.2.0 on 64 i mplayerthumbs - video thumbnail generator using mplayer i myunity - Unity configurator i A openoffice.org-calc - office productivity suite -- spreadsheet i A openoffice.org-writer - office productivity suite -- word processo i python-brlapi - Python bindings for BrlAPI i python-louis - Python bindings for liblouis i rts-bpp-dkms - rts-bpp driver in DKMS format. i system76-driver - Universal driver for System76 computers. i systemconfigurator - Unified Configuration API for Linux Instal i systemimager-client - Utilities for creating an image and upgrad i systemimager-common - Utilities and libraries common to both the i systemimager-initrd-template-am - SystemImager initrd template for amd64 cli i touchpad-indicator - An indicator for the touchpad i ubuntu-tweak - Ubuntu Tweak i A unity-lens-utilities - Unity Utilities lens i A unity-scope-calculator - Calculator engine i unity-scope-cities - Cities engine i unity-scope-rottentomatoes - Unity Scope Rottentomatoes

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  • ArchBeat Link-o-Rama Top 10 for October 21-27, 2012

    - by Bob Rhubart
    The Top 10 most popular items shared on the OTN ArchBeat Facebook Page for the week of October 21-27, 2012. OTN Architect Day: Los Angeles This is your brain on IT architecture. Stuff your cranium with architecture by attending Oracle Technology Network Architect Day in Los Angeles, October 25, 2012, at the Sofitel Los Angeles, 8555 Beverly Boulevard, Los Angeles, CA 90048. Technical sessions, panel Q&A, and peer roundtables—plus a free lunch. [NOTE: The event was last week, of course. Big thanks to the session presenters and especially to those Angelinos who came out for the event.] WebLogic Server 11gR1 Interactive Quick Reference"The WebLogic Server 11gR1 Administration interactive quick reference," explains Juergen Kress, "is a multimedia tool for various terms and concepts used in WebLogic Server architecture. This tool is available for administrators for online or offline use. This is built as a multimedia web page which provides descriptions of WebLogic Server Architectural components, and references to relevant documentation. This tool offers valuable reference information for any complex concept or product in an intuitive and useful manner." Podcast: Are You Future Proof? The latest OTN ArchBeat Podcast series features Oracle ACE Directors Ron Batra, Basheer Khan, and Ronald van Luttikhuizen, three practicing architects in an open discussion about how changes in enterprise IT are raising the bar for success for software architects and developers. Play Oracle Vanquisher Here's a little respite from whatever it is you normally spend your time on. Oracle Vanquisher is an online diversion that makes a game of data center optimization. According to the description: "Armed with a cool Oracle vacuum pack suit and a strategic IT roadmap, you will thwart threats and optimize your data center to increase your company’s stock price and boost your company’s position." Mainly you avoid electric shock and killer birds. The current high score belongs to someone identified as 'TEN." My score? Never mind. Advanced Oracle SOA Suite OOW 2012 PresentationsThe Oracle SOA Product Management team has compiled a complete list of all twelve of their Oracle SOA Suite presentations from Oracle OpenWorld 2012, with links to the slide decks. OAM and OIM 11g Academies Looking for technical how-to content covering Oracle Access Manager and Oracle Identity Manager? The people behind the Oracle Middleware Security blog have indexed relevant blog posts into what they call "Academies." "These indexes contain the articles we’ve written that we believe provide long lasting guidance on OAM and OIM. Posts covered in these series include articles on key aspects of OAM and OIM 11g, best practice architectural guidance, integrations, and customizations." Oracle’s Analytics, Engineered Systems, and Big Data Strategy | Mark Rittman Part 1 of 3 in Oracle ACE Director Mark Rittman's series on Oracle Exalytics, Oracle R Enterprise and Endeca. Oracle ACE Directors Nordic Tour 2012 : Venues and BI Presentations | Mark RittmanOracle ACE Director Mark Rittman shares information on the Oracle ACE Director Tour, as the community leaders make their way through the land of the midnight sun, with events in Copenhagen, Stockholm, Oslo and Helsinki. Following the Thread in OSB | Antony Reynolds Antony Reynolds recently led an Oracle Service Bus POC in which his team needed to get high throughput from an OSB pipeline. "Imagine our surprise when, on stressing the system, we saw it lock up, with large numbers of blocked threads." He shares the details of the problem and the solution in this extensive technical post. OW12: Oracle Business Process Management/Oracle ADF Integration Best Practices | Andrejus Baranovskis The Oracle OpenWorld presentations keep coming! Oracle ACE Director Andrejus Baranovskis shares the slides from "Oracle Business Process Management/Oracle ADF Integration Best Practices," co-presented with Danilo Schmiedel from Opitz Consulting. Thought for the Day "Not everything that can be counted counts, and not everything that counts can be counted." — Albert Einstein (March 14, 1879 – April 18, 1955) Source: Quotes For Software Engineers

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  • Ask HTG: How Can I Check the Age of My Windows Installation?

    - by Jason Fitzpatrick
    Curious about when you installed Windows and how long you’ve been chugging along without a system refresh? Read on as we show you a simple way to see how long-in-the-tooth your Windows installation is. Dear How-To Geek, It feels like it has been forever since I installed Windows 7 and I’m starting to wonder if some of the performance issues I’m experiencing have something to do with how long ago it was installed. It isn’t crashing or anything horrible, mind you, it just feels slower than it used to and I’m wondering if I should reinstall it to wipe the slate clean. Is there a simple way to determine the original installation date of Windows on its host machine? Sincerely, Worried in Windows Although you only intended to ask one question, you actually asked two. Your direct question is an easy one to answer (how to check the Windows installation date). The indirect question is, however, a little trickier (if you need to reinstall Windows to get a performance boost). Let’s start off with the easy one: how to check your installation date. Windows includes a handy little application just for the purposes of pulling up system information like the installation date, among other things. Open the Start Menu and type cmd in the run box (or, alternatively, press WinKey+R to pull up the run dialog and enter the same command). At the command prompt, type systeminfo.exe Give the application a moment to run; it takes around 15-20 seconds to gather all the data. You’ll most likely need to scroll back up in the console window to find the section at the top that lists operating system stats. What you care about is Original Install Date: We’ve been running the machine we tested the command on since August 23 2009. For the curious, that’s one month and a day after the initial public release of Windows 7 (after we were done playing with early test releases and spent a month mucking around in the guts of Windows 7 to report on features and flaws, we ran a new clean installation and kept on trucking). Now, you might be asking yourself: Why haven’t they reinstalled Windows in all that time? Haven’t things slowed down? Haven’t they upgraded hardware? The truth of the matter is, in most cases there’s no need to completely wipe your computer and start from scratch to resolve issues with Windows and, if you don’t bog your system down with unnecessary and poorly written software, things keep humming along. In fact, we even migrated this machine from a traditional mechanical hard drive to a newer solid-state drive back in 2011. Even though we’ve tested piles of software since then, the machine is still rather clean because 99% of that testing happened in a virtual machine. That’s not just a trick for technology bloggers, either, virtualizing is a handy trick for anyone who wants to run a rock solid base OS and avoid the bog-down-and-then-refresh cycle that can plague a heavily used machine. So while it might be the case that you’ve been running Windows 7 for years and heavy software installation and use has bogged your system down to the point a refresh is in order, we’d strongly suggest reading over the following How-To Geek guides to see if you can’t wrangle the machine into shape without a total wipe (and, if you can’t, at least you’ll be in a better position to keep the refreshed machine light and zippy): HTG Explains: Do You Really Need to Regularly Reinstall Windows? PC Cleaning Apps are a Scam: Here’s Why (and How to Speed Up Your PC) The Best Tips for Speeding Up Your Windows PC Beginner Geek: How to Reinstall Windows on Your Computer Everything You Need to Know About Refreshing and Resetting Your Windows 8 PC Armed with a little knowledge, you too can keep a computer humming along until the next iteration of Windows comes along (and beyond) without the hassle of reinstalling Windows and all your apps.         

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  • what differs a computer scientist/software engineer to regular people who learn programming language and APIs?

    - by Amumu
    In University, we learn and reinvent the wheel a lot to truly learn the programming concepts. For example, we may learn assembly language to understand, what happens inside the box, and how the system operates, when we execute our code. This helps understanding higher level concepts deeper. For example, memory management like in C is just an abstraction of manually managed memory contents and addresses. The problem is, when we're going to work, usually productivity is required more. I could program my own containers, or string class, or date/time (using POSIX with C system call) to do the job, but then, it would take much longer time to use existing STL or Boost library, which abstract all of those thing and very easy to use. This leads to an issue, that a regular person doesn't need to get through all the low level/under the hood stuffs, who learns only one programming language and using language-related APIs. These people may eventually compete with the mainstream graduates from computer science or software engineer and call themselves programmers. At first, I don't think it's valid to call them programmers. I used to think, a real programmer needs to understand the computer deeply (but not at the electronic level). But then I changed my mind. After all, they get the job done and satisfy all the test criteria (logic, performance, security...), and in business environment, who cares if you're an expert and understand how computer works or not. You may get behind the "amateurs" if you spend to much time learning about how things work inside. It is totally valid for those people to call themselves programmers. This makes me confuse. So, after all, programming should be considered an universal skill? Does programming language and concepts matter or the problems we solve matter? For example, many C/C++ vs Java and other high level language, one of the main reason is because C/C++ features performance, as well as accessing low level facility. One of the main reason (in my opinion), is coding in C/C++ seems complex, so people feel good about it (not trolling anyone, just my observation, and my experience as well. Try to google "C hacker syndrome"). While Java on the other hand, made for simplifying programming tasks to help developers concentrate on solving their problems. Based on Java rationale, if the programing language keeps evolve, one day everyone can map their logic directly with natural language. Everyone can program. On that day, maybe real programmers are mathematicians, who could perform most complex logic (including business logic and academic logic) without worrying about installing/configuring compiler, IDEs? What's our job as a computer scientist/software engineer? To solve computer specific problems or to solve problems in general? For example, take a look at this exame: http://cm.baylor.edu/ICPCWiki/attach/Problem%20Resources/2010WorldFinalProblemSet.pdf . The example requires only basic knowledge about the programming language, but focus more on problem solving with the language. In sum, what differs a computer scientist/software engineer to regular people who learn programming language and APIs? A mathematician can be considered a programmer, if he is good enough to use programming language to implement his formula. Can we programmer do this? Probably not for most of us, since we specialize about computer, not math. An electronic engineer, who learns how to use C to program for his devices, can be considered a programmer. If the programming languages keep being simplified, may one day the software engineers, who implements business logic and create softwares, be obsolete? (Not for computer scientist though, since many of the CS topics are scientific, and science won't change, but technology will).

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  • The Best Data Integration for Exadata Comes from Oracle

    - by maria costanzo
    Oracle Data Integrator and Oracle GoldenGate offer unique and optimized data integration solutions for Oracle Exadata. For example, customers that choose to feed their data warehouse or reporting database with near real-time throughout the day, can do so without decreasing  performance or availability of source and target systems. And if you ask why real-time, the short answer is: in today’s fast-paced, always-on world, business decisions need to use more relevant, timely data to be able to act fast and seize opportunities. A longer response to "why real-time" question can be found in a related blog post. If we look at the solution architecture, as shown on the diagram below,  Oracle Data Integrator and Oracle GoldenGate are both uniquely designed to take full advantage of the power of the database and to eliminate unnecessary middle-tier components. Oracle Data Integrator (ODI) is the best bulk data loading solution for Exadata. ODI is the only ETL platform that can leverage the full power of Exadata, integrate directly on the Exadata machine without any additional hardware, and by far provides the simplest setup and fastest overall performance on an Exadata system. We regularly see customers achieving a 5-10 times boost when they move their ETL to ODI on Exadata. For  some companies the performance gain is even much higher. For example a large insurance company did a proof of concept comparing ODI vs a traditional ETL tool (one of the market leaders) on Exadata. The same process that was taking 5hrs and 11 minutes to complete using the competing ETL product took 7 minutes and 20 seconds with ODI. Oracle Data Integrator was 42 times faster than the conventional ETL when running on Exadata.This shows that Oracle's own data integration offering helps you to gain the most out of your Exadata investment with a truly optimized solution. GoldenGate is the best solution for streaming data from heterogeneous sources into Exadata in real time. Oracle GoldenGate can also be used together with Data Integrator for hybrid use cases that also demand non-invasive capture, high-speed real time replication. Oracle GoldenGate enables real-time data feeds from heterogeneous sources non-invasively, and delivers to the staging area on the target Exadata system. ODI runs directly on Exadata to use the database engine power to perform in-database transformations. Enterprise Data Quality is integrated with Oracle Data integrator and enables ODI to load trusted data into the data warehouse tables. Only Oracle can offer all these technical benefits wrapped into a single intelligence data warehouse solution that runs on Exadata. Compared to traditional ETL with add-on CDC this solution offers: §  Non-invasive data capture from heterogeneous sources and avoids any performance impact on source §  No mid-tier; set based transformations use database power §  Mini-batches throughout the day –or- bulk processing nightly which means maximum availability for the DW §  Integrated solution with Enterprise Data Quality enables leveraging trusted data in the data warehouse In addition to Starwood Hotels and Resorts, Morrison Supermarkets, United Kingdom’s fourth-largest food retailer, has seen the power of this solution for their new BI platform and shared their story with us. Morrisons needed to analyze data across a large number of manufacturing, warehousing, retail, and financial applications with the goal to achieve single view into operations for improved customer service. The retailer deployed Oracle GoldenGate and Oracle Data Integrator to bring new data into Oracle Exadata in near real-time and replicate the data into reporting structures within the data warehouse—extending visibility into operations. Using Oracle's data integration offering for Exadata, Morrisons produced financial reports in seconds, rather than minutes, and improved staff productivity and agility. You can read more about Morrison’s success story here and hear from Starwood here. From an Irem Radzik article.

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  • Fetching Partition Information

    - by Mike Femenella
    For a recent SSIS package at work I needed to determine the distinct values in a partition, the number of rows in each partition and the file group name on which each partition resided in order to come up with a grouping mechanism. Of course sys.partitions comes to mind for some of that but there are a few other tables you need to link to in order to grab the information required. The table I’m working on contains 8.8 billion rows. Finding the distinct partition keys from this table was not a fast operation. My original solution was to create  a temporary table, grab the distinct values for the partitioned column, then update via sys.partitions for the rows and the $partition function for the partitionid and finally look back to the sys.filegroups table for the filegroup names. It wasn’t pretty, it could take up to 15 minutes to return the results. The primary issue is pulling distinct values from the table. Queries for distinct against 8.8 billion rows don’t go quickly. A few beers into a conversation with a friend and we ended up talking about work which led to a conversation about the task described above. The solution was already built in SQL Server, just needed to pull it together. The first table I needed was sys.partition_range_values. This contains one row for each range boundary value for a partition function. In my case I have a partition function which uses dayid values. For example July 4th would be represented as an int, 20130704. This table lists out all of the dayid values which were defined in the function. This eliminated the need to query my source table for distinct dayid values, everything I needed was already built in here for me. The only caveat was that in my SSIS package I needed to create a bucket for any dayid values that were out of bounds for my function. For example if my function handled 20130501 through 20130704 and I had day values of 20130401 or 20130705 in my table, these would not be listed in sys.partition_range_values. I just created an “everything else” bucket in my ssis package just in case I had any dayid values unaccounted for. To get the number of rows for a partition is very easy. The sys.partitions table contains values for each partition. Easy enough to achieve by querying for the object_id and index value of 1 (the clustered index) The final piece of information was the filegroup name. There are 2 options available to get the filegroup name, sys.data_spaces or sys.filegroups. For my query I chose sys.filegroups but really it’s a matter of preference and data needs. In order to bridge between sys.partitions table and either sys.data_spaces or sys.filegroups you need to get the container_id. This can be done by joining sys.allocation_units.container_id to the sys.partitions.hobt_id. sys.allocation_units contains the field data_space_id which then lets you join in either sys.data_spaces or sys.file_groups. The end result is the query below, which typically executes for me in under 1 second. I’ve included the join to sys.filegroups and to sys.dataspaces, and I’ve  just commented out the join sys.filegroups. As I mentioned above, this shaves a good 10-15 minutes off of my original ssis package and is a really easy tweak to get a boost in my ETL time. Enjoy.

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  • What common interface would be appropriate for these game object classes?

    - by Jefffrey
    Question A component based system's goal is to solve the problems that derives from inheritance: for example the fact that some parts of the code (that are called components) are reused by very different classes that, hypothetically, would lie in a very different branch of the inheritance tree. That's a very nice concept, but I've found out that CBS is often hard to accomplish without using ugly hacks. Implementations of this system are often far from clean. But I don't want to discuss this any further. My question is: how can I solve the same problems a CBS try to solve with a very clean interface? (possibly with examples, there are a lot of abstract talks about the "perfect" design already). Context Here's an example I was going for before realizing I was just reinventing inheritance again: class Human { public: Position position; Movement movement; Sprite sprite; // other human specific components }; class Zombie { Position position; Movement movement; Sprite sprite; // other zombie specific components }; After writing that I realized I needed an interface, otherwise I would have needed N containers for N different types of objects (or to use boost::variant to gather them all together). So I've thought of polymorphism (move what systems do in a CBS design into class specific functions): class Entity { public: virtual void on_event(Event) {} // not pure virtual on purpose virtual void on_update(World) {} virtual void on_draw(Window) {} }; class Human : public Entity { private: Position position; Movement movement; Sprite sprite; public: virtual void on_event(Event) { ... } virtual void on_update(World) { ... } virtual void on_draw(Window) { ... } }; class Zombie : public Entity { private: Position position; Movement movement; Sprite sprite; public: virtual void on_event(Event) { ... } virtual void on_update(World) { ... } virtual void on_draw(Window) { ... } }; Which was nice, except for the fact that now the outside world would not even be able to know where a Human is positioned (it does not have access to its position member). That would be useful to track the player position for collision detection or if on_update the Zombie would want to track down its nearest human to move towards him. So I added const Position& get_position() const; to both the Zombie and Human classes. And then I realized that both functionality were shared, so it should have gone to the common base class: Entity. Do you notice anything? Yes, with that methodology I would have a god Entity class full of common functionality (which is the thing I was trying to avoid in the first place). Meaning of "hacks" in the implementation I'm referring to I'm talking about the implementations that defines Entities as simple IDs to which components are dynamically attached. Their implementation can vary from C-stylish: int last_id; Position* positions[MAX_ENTITIES]; Movement* movements[MAX_ENTITIES]; Where positions[i], movements[i], component[i], ... make up the entity. Or to more C++-style: int last_id; std::map<int, Position> positions; std::map<int, Movement> movements; From which systems can detect if an entity/id can have attached components.

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  • PHP-FPM stops responding and dies [migrated]

    - by user12361
    I'm running Drupal 6 with Nginx 1.5.1 and PHP-FPM (PHP 5.3.26) on a 1GB single core VPS with 3GB of swap space on SSD storage. I just switched from shared hosting to this unmanaged VPS because my site was getting too heavy, so I'm still learning the ropes. I have moderately high traffic, I don't really monitor it closely but Google Adsense usually record close to 30K page views/day. I usually have 50 to 80 authenticated users logged in and a few hundred more anonymous users hitting the Boost static HTML cache at any given moment. The problem I'm having is that PHP-FPM frequently stops responding, resulting in Nginx 502 or 504 errors. I swear I have read every page on the internet about this issue, which seems fairly common, and I've tried endless combinations of configurations, and I can't find a good solution. After restarting Nginx and PHP-FPM, the site runs really fast for a while, and then without warning it simply stops responding. I get a white screen while the browser waits on the server, and after about 30 seconds to a minute it throws an Nginx 502 or 504 error. Sometimes it runs well for 2 minutes, sometimes 5 minutes, sometimes 5 hours, but it always ends up hanging. When I find the server in this state, there is still plenty of free memory (500MB or more) and no major CPU usage, the control and worker PHP-FPM processes are still present, and the server is still pingable and usable via SSH. A reload of PHP-FPM via the init script revives it again. The hangups don't seem to correspond to the amount of traffic, because I observed this behavior consistently when I was testing this configuration on a development VPS with no traffic at all. I've been constantly tweaking the settings, but I can't definitively eliminate the problem. I set Nginx workers to just 1. In the PHP-FPM config I have tried all three of the process managers. "Dynamic" is definitely the least reliable, consistently hanging up after only a few minutes. "Static" also has been unreliable and unpredictable. The least buggy has been "ondemand", but even that is failing me, sometimes after as much as 12 to 24 hours. But I can't leave the server unattended because PHP-FPM dies and never comes back on its own. I tried adjusting the pm.max_children value from as low as 3 to as high as 50, doesn't make a lot of difference, but I currently have it at 10. Same thing for the spare servers values. I also have set pm.max_requests anywhere from 30 to unlimited, and it doesn't seem to make a difference. According to the logs, the PHP-FPM processes are not exiting with SIGSEGV or SIGBUS, but rather with SIGTERM. I get a lot of lines like: WARNING: [pool www] child 3739, script '/var/www/drupal6/index.php' (request: "GET /index.php") execution timed out (38.739494 sec), terminating and: WARNING: [pool www] child 3738 exited on signal 15 (SIGTERM) after 50.004380 seconds from start I actually found several articles that recommend doing a graceful reload of PHP-FPM via cron every few minutes or hours to circumvent this issue. So that's what I did, "/etc/init.d/php-fpm reload" every 5 minutes. So far, it's keeping the lights on. But it feels like a dreadful hack. Is PHP-FPM really that unreliable? Is there anything else I can do? Thanks a lot!

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  • CFOs: Do You Have a Playbook for Growth?

    - by Oracle Accelerate for Midsize Companies
    by Jim Lein, Oracle Midsize Programs In most global markets, CFOs are optimistic about their company's growth opportunities. Deloitte's CFO Signals Report, "Time to Accelerate" found that: In the U.K. business optimism is at its highest level in three-and-a-half years Optimism in North America rose from a strong +42% last quarter (Q2 to Q3 2013) to an even stronger +54%. The inaugural Southeast Asia survey, 44% of CFOs reported a positive outlook despite worries over the Chinese economy and political uncertainty. Sustainable and profitable business growth doesn't usually happen by accident. Company's need a playbook for growth that's owned by the CFO. And today, that playbook must leverage the six enabling technologies--Social, Big Data, Mobile, Cloud, Analytics, and The Internet of Things (or, as Oracle president Mark Hurd explains, "The Internet of the People"). On Monday June 9 at  2:00 pm Eastern, CFO.com is hosting a webcast, "The CFO Playbook on Growth: How CFOs Can Boost Efficiency and Performance with Automation". Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} “Investing in technology begins with a business metric driven business case with clear tangible business results expected," says John Lieblang, Affiliate Partner with Waterstone Management Group. "The progressive CFO has learned how to forge a partnership with the CIO to align everyone in the 'result value chain' to be accountable for the business results not just for functional technology.” Click HERE to register  Looking for more news and information about Oracle Solutions for Midsize Companies? Read the latest Oracle for Midsize Companies Newsletter Sign-up to receive the latest communications from Oracle’s industry leaders and experts Jim Lein I evangelize Oracle's enterprise solutions for growing midsize companies. I recently celebrated 15 years with Oracle, having joined JD Edwards in 1999. I'm based in Evergreen, Colorado and love relating stories about creativity and innovation whether they be about software, live music, or the mountains. The views expressed here are my own, and not necessarily those of Oracle.

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  • Concurrent Affairs

    - by Tony Davis
    I once wrote an editorial, multi-core mania, on the conundrum of ever-increasing numbers of processor cores, but without the concurrent programming techniques to get anywhere near exploiting their performance potential. I came to the.controversial.conclusion that, while the problem loomed for all procedural languages, it was not a big issue for the vast majority of programmers. Two years later, I still think most programmers don't concern themselves overly with this issue, but I do think that's a bigger problem than I originally implied. Firstly, is the performance boost from writing code that can fully exploit all available cores worth the cost of the additional programming complexity? Right now, with quad-core processors that, at best, can make our programs four times faster, the answer is still no for many applications. But what happens in a few years, as the number of cores grows to 100 or even 1000? At this point, it becomes very hard to ignore the potential gains from exploiting concurrency. Possibly, I was optimistic to assume that, by the time we have 100-core processors, and most applications really needed to exploit them, some technology would be around to allow us to do so with relative ease. The ideal solution would be one that allows programmers to forget about the problem, in much the same way that garbage collection removed the need to worry too much about memory allocation. From all I can find on the topic, though, there is only a remote likelihood that we'll ever have a compiler that takes a program written in a single-threaded style and "auto-magically" converts it into an efficient, correct, multi-threaded program. At the same time, it seems clear that what is currently the most common solution, multi-threaded programming with shared memory, is unsustainable. As soon as a piece of state can be changed by a different thread of execution, the potential number of execution paths through your program grows exponentially with the number of threads. If you have two threads, each executing n instructions, then there are 2^n possible "interleavings" of those instructions. Of course, many of those interleavings will have identical behavior, but several won't. Not only does this make understanding how a program works an order of magnitude harder, but it will also result in irreproducible, non-deterministic, bugs. And of course, the problem will be many times worse when you have a hundred or a thousand threads. So what is the answer? All of the possible alternatives require a change in the way we write programs and, currently, seem to be plagued by performance issues. Software transactional memory (STM) applies the ideas of database transactions, and optimistic concurrency control, to memory. However, working out how to break down your program into sufficiently small transactions, so as to avoid contention issues, isn't easy. Another approach is concurrency with actors, where instead of having threads share memory, each thread runs in complete isolation, and communicates with others by passing messages. It simplifies concurrent programs but still has performance issues, if the threads need to operate on the same large piece of data. There are doubtless other possible solutions that I haven't mentioned, and I would love to know to what extent you, as a developer, are considering the problem of multi-core concurrency, what solution you currently favor, and why. Cheers, Tony.

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  • The new direction of the gaming industry

    - by raccoon_tim
    Just recently I read a great blog post by David Darling, the founder of Codemasters: http://www.develop-online.net/blog/347/Jurassic-consoles-could-become-extinct. In the blog post he talks about how traditional retail games are experiencing a downfall thanks to the increasing popularity of digital distribution. I personally think of retail games as being relics of the past. It does not really make much sense to still keep distributing boxed games when the same game can be elegantly downloaded and updated over the air through a digital distribution channel. The world is not all rainbows, however. One big issue with mixing digital distribution with boxed retail games is that resellers will not condone you selling your game for 10€ digitally while their selling the same game for 70€. The only way to get around this issue is to move to full digital distribution. This has the added benefit of minimizing piracy as the game can be tightly bound to the service you downloaded the game from. Many players are, however, complaining about not being able to play the games offline. Having games tightly bound to the internet is a problem when games are bought from a retailer as we tend to expect that once we have the product we can use it anywhere because we physically own it. The truth is that we don’t actually own the product. Instead, the typical EULA actually states that we only have a license to use the product. We’re not, for instance, allowed to disassemble the product, which the owner is indeed permitted to do. Digital distribution allows us to provide games as services, instead of selling them as standalone products. This means that for a service to work you have to be connected to the internet but you still have the same rights to use the product. It’s really straightforward; if you downloaded a client from the internet you are expected to have an internet connection so you’re able to connect to the server. A game distributed digitally that is built using a client-server architecture has the added benefit of allowing you to play anywhere as long as you have the client installed and you are able to log in with your user information. Your save games can be backed up and your game can continue anywhere. Another development we’re seeing in the gaming industry is the increasing popularity of free-to-play games. These are games that let you play for free but allow you to boost your gaming experience with real world money. The nature of these games is that players are constantly rewarded with new content and the game can evolve according to their way of playing and their wishes can be incorporated into the product. Free-to-play games can quickly gain a large player basis and monetization is done by providing players valuable things to buy making their gaming experience more fun. I am personally very excited about free-to-play games as it’s possible to start building the game together with your players and there is no need to work on the game for 5 years from start to finish and only then see if it’s actually something the players like. This is a typical problem with big movie-like retail games and recent news about Radical Entertainment practically closing its doors paints a clear picture of what can happen when the risk does not pay off: http://news.teamxbox.com/xbox/25874/Prototype-Developer-Radical-Entertainment-Closes/.

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  • Multithreading recommendation based on program description

    - by user260197
    I would like to describe some specifics of my program and get feedback on what the best multithreading model to use would be most applicable. I've spent a lot of time now reading on ThreadPool, Threads, Producer/Consumer, etc. and have yet to come to solid conclusions. I have a list of files (all the same format) but with different contents. I have to perform work on each file. The work consists of reading the file, some processing that takes about 1-2 minutes of straight number crunching, and then writing large output files at the end. I would like the UI interface to still be responsive after I initiate the work on the specified files. Some questions: What model/mechanisms should I use? Producer/Consumer, WorkPool, etc. Should I use a BackgroundWorker in the UI for responsiveness or can I launch the threading from within the Form as long as I leave the UI thread alone to continue responding to user input? How could I take results or status of each individual work on each file and report it to the UI in a thread safe way to give user feedback as the work progresses (there can be close to 1000 files to process) Update: Great feedback so far, very helpful. I'm adding some more details that are asked below: Output is to multiple independent files. One set of output files per "work item" that then themselves gets read and processed by another process before the "work item" is complete The work items/threads do not share any resources. The work items are processed in part using a unmanaged static library that makes use of boost libraries.

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