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  • lubuntu notify-send remove limit of 21?

    - by giuspen
    sending notifications with notify-send in lubuntu notify-send -i error -t 1000 "Error" "error notification" I can send only 21 of them, after that no more notifications sent, the only way to receive more notifications is to click on the panel where there's a letter with the number 21 and then click on the button "clear all notifications". Is there a way to avoid the need to go clicking the button, also is there a way to remove at all that letter with number of notifications received? UPDATE: I realize that notification-daemon (0.7.3) is used. I downloaded the sources and edited the source code (nd-queue.c - on_bubble_destroyed) to do not buffer but always destroy the bubbles but I would prefer another way...

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  • Narrowing down my large keyword list for new PPC campaign

    - by gijoemike
    If I have a list of 100 keywords that are candidates for a PPC campaign (my list is actually 1000+). What is the best approach to narrowing this down to the top 5-10 keywords I should start with? I'm also wondering if my top chosen keywords for PPC campaign should be my main keywords for SEO site optimization for organic traffic. I also have another question on this site asking: How does one estimate where a competitor is getting most of their traffic from? Thanks. The website isn't created yet, but will be up in January.

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  • Mass Metadata Updates with Folders

    - by Kyle Hatlestad
    With the release of WebCenter Content PS5, a new folder architecture called 'Framework Folders' was introduced.  This is meant to replace the folder architecture of 'Folders_g'.  While the concepts of a folder structure and access to those folders through Desktop Integration Suite remain the same, the underlying architecture of the component has been completely rewritten.  One of the main goals of the new folders is to scale better at large volumes and remove the limitations of 1000 content items or sub-folders within a folder.  Along with the new architecture, it has a new look and a few additional features have been added.  One of those features are Query Folders.  These are folders that are populated simply by a query rather then literally putting items within the folders.  This is something that the Library has provided, but it always took an administrator to define them through the Web Layout Editor.  Now users can quickly define query folders anywhere within the standard folder hierarchy. [ Read More ]

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  • time it takes to develop 4*N lines of code. Nonlinear, but how nonlinear ?

    - by Andrei
    It took me time T to develop program A, 1000 lines of code (SLOC), in certain language/area/complexity. Then how much time it will take to develop program B which is expected 4000 lines, in same area/complexity/language ? I expect it to be 4*N, right ? Any formula how T grows with SLOC ? For contractor, these estimates are important. Is there formula from software enginering books, or from people's experience ? Also, what methods exist to make the code bug-free before it hits QA ?

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  • ATI Radeon HD 5750 and lagging in games and youtube videos

    - by Morten Fjord Christensen
    I have a X-ONE W-601 desktop pc: 3,1GHz AMD QuadCore Athlon II 645 X4 8 GB DDR3 RAM 1000 GB Harddisk 7200RPM ATI Radeon HD5750 with 1GB DDR5 RAM I'm running Ubuntu 11.10 64-bit and have installed the proprietary driver, but still games lag and videos a little bit. Been googling around and seen that it has something to do with the older drivers from AMD and KMS, but no guide helped me correctly through to make my graphic card work smoothly. I don't know if this helps but "fglrxinfo" in terminal shows: display: :0 screen: 0 OpenGL vendor string: ATI Technologies Inc. OpenGL renderer string: ATI Radeon HD 5700 Series OpenGL version string: 4.1.11005 Compatibility Profile Context And the driver check command shows: [ 51.184] (II) ATI Proprietary Linux Driver Version Identifier:8.88.7 Any help appreciated :D

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  • "AND Operator" in PAM

    - by d_inevitable
    I need to prevent users from authenticating through Kerberos when the encrypted /home/users has not yet been mounted. (This is to avoid corrupting the ecryptfs mountpoint) Currently I have these lines in /etc/pam.d/common-auth: auth required pam_group.so use_first_pass auth [success=2 default=ignore] pam_krb5.so minimum_uid=1000 try_first_pass auth [success=1 default=ignore] pam_unix.so nullok_secure try_first_pass I am planning to use pam_exec.so to execute a script that will exit 1 if the ecyptfs mounts are not ready yet. Doing this: auth required pam_exec.so /etc/security/check_ecryptfs will lock me out for good if ecryptfs for some reason fails. In such case I would like to at least be able to login with a local (non-kerberos) user to fix the issue. Is there some sort of AND-Operator in which I can say that login through kerberos+ldap is only sufficient if both kerberos authentication and the ecryptfs mount has succeeded?

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  • Project Euler 2: (Iron)Python

    - by Ben Griswold
    In my attempt to learn (Iron)Python out in the open, here’s my solution for Project Euler Problem 2.  As always, any feedback is welcome. # Euler 2 # http://projecteuler.net/index.php?section=problems&id=2 # Find the sum of all the even-valued terms in the # Fibonacci sequence which do not exceed four million. # Each new term in the Fibonacci sequence is generated # by adding the previous two terms. By starting with 1 # and 2, the first 10 terms will be: # 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, ... # Find the sum of all the even-valued terms in the # sequence which do not exceed four million. import time start = time.time() total = 0 previous = 0 i = 1 while i <= 4000000: if i % 2 == 0: total +=i # variable swapping removes the need for a temp variable i, previous = previous, previous + i print total print "Elapsed Time:", (time.time() - start) * 1000, "millisecs" a=raw_input('Press return to continue')

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  • Game Timer In C++

    - by user1870398
    I need to be able to find out how many milliseconds since that last update. Is there any way I can find it out with time rather then a thread that counts like I did below? #include <iostream> #include<windows.h> #include<time.h> #include<process.h> using namespace std; int Timer = 0; int LastTimer = 0; bool End = false; void Update(int Ticks) { } void UpdateTimer() { while (true) { LastTimer = Timer; Timer++; Sleep(1); if (End) break; } } int WINAPI WinMain(HINSTANCE par1, HINSTANCE par2, LPSTR par3, int par4) { _beginthread(UpdateTimer, 0, NULL); while(true) { if (Timer == 1000) Timer = 0; Update(Timer - LastTimer); } }

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  • How to learn programming for a medium scale project form a beginner? [closed]

    - by Lin Xiangyu
    I study programming by myself.I have learn servel programming languages. but I never write a project more than 1000 lines. I know the best way to improve programming skills is practise. The problem is many books, just talk about the programming language, or talk about build a project from a high level. Fews of books will teach how to build a middle scale project. For example, I want to build a simple HTTP Server(Nor like Apache or just a simple listenr to a port), a Markdown Parser, or a download tools just like emule or wget. I don't know what to do. I may found peaces of code in the web, or found familiar project in the Github. I don't know how to read the code. I want to some tutorial that can told me how to build the project step by step, teacher me how to write thousands lines of code. Any suggest?

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  • Using a SMTP Service for email

    - by Josh S.
    This may be a horribly obvious question, but I'm learning and just need someone to confirm it for me. I putting together a private social network that needs to email their members (through the social network software, Elgg) regularly. I'm hosting it on a shared HostGator plan (because they won't receive much traffic) and they'll email 10-1000 emails a few times a week. HostGator restricts you to 500 per hour. I'm also worried about deliverability. I've been searching up and down about how to throttle the emails so it will all send reliably... but then I came across the idea of an outside SMTP relay service. Would using an SMTP service resolve this issue? If so, any opinions on quality SMTP services?

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  • Save match details to SQLite or XML?

    - by trizz
    I'm making a (conceptual) system to simulate any kind of sports match (like soccer,basketball,etc) with actions (for example pass,pass,out,pass,score) so it will be like a real report. The main statistics (play time, number of actions etc.) I'm saving to a MySQL database, but the report itself, can contain more than 1000 actions per match. To avoid millions of records in my database I'm thinking of saving the detailled report in a SQLite database or a XML file. For every match played, a file will be created. When a user request the match details, I read the file for details. What is the best choice for this purpose? SQLite or XML?

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  • Ways to earn money through Flash games

    - by Maged
    If you like developing flash games just for fun, why not make money through them? There are different ways you can monetize your flash game: In Game Ads: Some common examples: Mochi Ads gamejacket ad4game CPMStar InviziAds You can make money by helping online gaming companies test and evaluate new games. Many of those companies are seeking feedback and reviews of their newest games. Find a sponsor and license your game. One of the quickest yet hardest ways to make money from the flash games you create is to find a website who is willing to sponsor them. With a single sponsorship, an individual can make anywhere from $1000-$7000 for a game. What are the best ads from these sites? If the game will be in social websites like Facebook and MySpace, will it still be useful to try other sites? Are there any other ways to earn money from a Flash game?

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  • Polite busy-waiting with WRPAUSE on SPARC

    - by Dave
    Unbounded busy-waiting is an poor idea for user-space code, so we typically use spin-then-block strategies when, say, waiting for a lock to be released or some other event. If we're going to spin, even briefly, then we'd prefer to do so in a manner that minimizes performance degradation for other sibling logical processors ("strands") that share compute resources. We want to spin politely and refrain from impeding the progress and performance of other threads — ostensibly doing useful work and making progress — that run on the same core. On a SPARC T4, for instance, 8 strands will share a core, and that core has its own L1 cache and 2 pipelines. On x86 we have the PAUSE instruction, which, naively, can be thought of as a hardware "yield" operator which temporarily surrenders compute resources to threads on sibling strands. Of course this helps avoid intra-core performance interference. On the SPARC T2 our preferred busy-waiting idiom was "RD %CCR,%G0" which is a high-latency no-nop. The T4 provides a dedicated and extremely useful WRPAUSE instruction. The processor architecture manuals are the authoritative source, but briefly, WRPAUSE writes a cycle count into the the PAUSE register, which is ASR27. Barring interrupts, the processor then delays for the requested period. There's no need for the operating system to save the PAUSE register over context switches as it always resets to 0 on traps. Digressing briefly, if you use unbounded spinning then ultimately the kernel will preempt and deschedule your thread if there are other ready threads than are starving. But by using a spin-then-block strategy we can allow other ready threads to run without resorting to involuntary time-slicing, which operates on a long-ish time scale. Generally, that makes your application more responsive. In addition, by blocking voluntarily we give the operating system far more latitude regarding power management. Finally, I should note that while we have OS-level facilities like sched_yield() at our disposal, yielding almost never does what you'd want or naively expect. Returning to WRPAUSE, it's natural to ask how well it works. To help answer that question I wrote a very simple C/pthreads benchmark that launches 8 concurrent threads and binds those threads to processors 0..7. The processors are numbered geographically on the T4, so those threads will all be running on just one core. Unlike the SPARC T2, where logical CPUs 0,1,2 and 3 were assigned to the first pipeline, and CPUs 4,5,6 and 7 were assigned to the 2nd, there's no fixed mapping between CPUs and pipelines in the T4. And in some circumstances when the other 7 logical processors are idling quietly, it's possible for the remaining logical processor to leverage both pipelines. Some number T of the threads will iterate in a tight loop advancing a simple Marsaglia xor-shift pseudo-random number generator. T is a command-line argument. The main thread loops, reporting the aggregate number of PRNG steps performed collectively by those T threads in the last 10 second measurement interval. The other threads (there are 8-T of these) run in a loop busy-waiting concurrently with the T threads. We vary T between 1 and 8 threads, and report on various busy-waiting idioms. The values in the table are the aggregate number of PRNG steps completed by the set of T threads. The unit is millions of iterations per 10 seconds. For the "PRNG step" busy-waiting mode, the busy-waiting threads execute exactly the same code as the T worker threads. We can easily compute the average rate of progress for individual worker threads by dividing the aggregate score by the number of worker threads T. I should note that the PRNG steps are extremely cycle-heavy and access almost no memory, so arguably this microbenchmark is not as representative of "normal" code as it could be. And for the purposes of comparison I included a row in the table that reflects a waiting policy where the waiting threads call poll(NULL,0,1000) and block in the kernel. Obviously this isn't busy-waiting, but the data is interesting for reference. _table { border:2px black dotted; margin: auto; width: auto; } _tr { border: 2px red dashed; } _td { border: 1px green solid; } _table { border:2px black dotted; margin: auto; width: auto; } _tr { border: 2px red dashed; } td { background-color : #E0E0E0 ; text-align : right ; } th { text-align : left ; } td { background-color : #E0E0E0 ; text-align : right ; } th { text-align : left ; } Aggregate progress T = #worker threads Wait Mechanism for 8-T threadsT=1T=2T=3T=4T=5T=6T=7T=8 Park thread in poll() 32653347334833483348334833483348 no-op 415 831 124316482060249729303349 RD %ccr,%g0 "pause" 14262429269228623013316232553349 PRNG step 412 829 124616702092251029303348 WRPause(8000) 32443361333133483349334833483348 WRPause(4000) 32153308331533223347334833473348 WRPause(1000) 30853199322432513310334833483348 WRPause(500) 29173070315032223270330933483348 WRPause(250) 26942864294930773205338833483348 WRPause(100) 21552469262227902911321433303348

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  • Mount problem on 12.10

    - by Malcolm Osborne
    I've just done an online upgrade from 12.04 to 12.10 - seemed to have gone well, but now I cannot access other drives (partitions) on my PC, also flash drives. Get error Unable to mount location - Adding read ACL for uid 1000 tomedia/malcolm failed':Operation not supported. Content of mount -l: /dev/sdb8 on / type ext2 (rw,errors=remount-ro) proc on /proc type proc (rw,noexec,nosuid,nodev) sysfs on /sys type sysfs (rw,noexec,nosuid,nodev) none on /sys/fs/fuse/connections type fusectl (rw) none on /sys/kernel/debug type debugfs (rw) none on /sys/kernel/security type securityfs (rw) udev on /dev type devtmpfs (rw,mode=0755) devpts on /dev/pts type devpts (rw,noexec,nosuid,gid=5,mode=0620) tmpfs on /run type tmpfs (rw,noexec,nosuid,size=10%,mode=0755) none on /run/lock type tmpfs (rw,noexec,nosuid,nodev,size=5242880) none on /run/shm type tmpfs (rw,nosuid,nodev) none on /run/user type tmpfs (rw,noexec,nosuid,nodev,size=104857600,mode=0755) binfmt_misc on /proc/sys/fs/binfmt_misc type binfmt_misc (rw,noexec,nosuid,nodev) gvfsd-fuse on /run/user/malcolm/gvfs type fuse.gvfsd-fuse (rw,nosuid,nodev,user=malcolm)

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  • RadBook for Silverlight now supports virtualization

    I am proud to announce that RadBook, along with RadGridView, RadTreeView, RadTreeListView, RadChart and RadScheduler, now supports virtualization. With previous versions, it would take up to 16 seconds to load 1000 pages, where now it takes just 2 seconds to load a set of 10,000,000 (10 million) items.   The cause of the performance boost is the way RadBook handles the unnecessary(non-visible) elements. As you probably know, while turning a page, only four pages are visible at any given moment in time. Previous versions of RadBook would just collapse the unnecessary elements, which had a significant impact on the initial loading time. The new version of RadBook now takes advantage of the VirutalizingPanel and creates only as many elements as necessary for the book to render properly. Enjoy and if you have comments or questions on the topic, let us know.Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

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  • ntfsresize volume and size information

    - by antonio
    I am going to resize my sda2 NTFS partition. When gathering info with ntfsresize, I get: ntfsresize --info /dev/sda2 ntfsresize v2013.1.13 (libntfs-3g) Device name : /dev/sda2 NTFS volume version: 3.1 Cluster size : 4096 bytes Current volume size: 21999993344 bytes (22000 MB) Current device size: 23622320128 bytes (23623 MB) Checking filesystem consistency ... Accounting clusters ... Space in use : 10673 MB (48.5%) Collecting resizing constraints ... You might resize at 10672590848 bytes or 10673 MB (freeing 11327 MB). Please make a test run using both the -n and -s options before real resizing! Can you tell me what is the difference between volume and device size? As for device size, 23622320128 bytes / 1000^2 = 23622.3 MB. Why is 23623 MB reported instead of 23622? Note that parted confirms this value: parted /dev/sda2 unit MB p Model: Unknown (unknown) Disk /dev/sda2: 23622MB Sector size (logical/physical): 512B/512B Partition Table: loop Disk Flags: Number Start End Size File system Flags 1 0.00MB 23622MB 23622MB ntfs

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  • Resources for popular domain models

    - by Songo
    I have come across many situations where I had to build a system for a library or a clinic or other popular domains. The thing is a domain model for a library was probably done 1000 times already with different level of details of course. Here is an example. Is there a popular website or community where one can find ready made domain models for popular systems? The whole purpose I'm trying to achieve is to quickly get a grasp of the domain I'm modeling and customize it to my needs. Re-inventing the wheel seems really absurd when the same system might have been modeled properly previously. Note I know Google might sound like the perfect source, but there is a repository out there that people can post there models, so that others can share them.

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  • Large sparse (stiff) ODE system needed for testing

    - by macydanim
    I hope this is the right place for this question. I have been working on a sparse stiff implicit ODE solver and have finished the code so far. I now tested the solver with the Van der Pol equation, and another stiff problem, which is of dimension 4. But to perform better tests I am searching for a bigger system. I'm thinking of the order N = 100...1000, if possible stiff and sparse. Does anybody have an example I could use? I really don't know where to search.

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  • Project Euler 4: (Iron)Python

    - by Ben Griswold
    In my attempt to learn (Iron)Python out in the open, here’s my solution for Project Euler Problem 4.  As always, any feedback is welcome. # Euler 4 # http://projecteuler.net/index.php?section=problems&id=4 # Find the largest palindrome made from the product of # two 3-digit numbers. A palindromic number reads the # same both ways. The largest palindrome made from the # product of two 2-digit numbers is 9009 = 91 x 99. # Find the largest palindrome made from the product of # two 3-digit numbers. import time start = time.time() def isPalindrome(s): return s == s[::-1] max = 0 for i in xrange(100, 999): for j in xrange(i, 999): n = i * j; if (isPalindrome(str(n))): if (n > max): max = n print max print "Elapsed Time:", (time.time() - start) * 1000, "millisecs" a=raw_input('Press return to continue')

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  • Project Euler 7: (Iron)Python

    - by Ben Griswold
    In my attempt to learn (Iron)Python out in the open, here’s my solution for Project Euler Problem 7.  As always, any feedback is welcome. # Euler 7 # http://projecteuler.net/index.php?section=problems&id=7 # By listing the first six prime numbers: 2, 3, 5, 7, # 11, and 13, we can see that the 6th prime is 13. What # is the 10001st prime number? import time start = time.time() def nthPrime(nth): primes = [2] number = 3 while len(primes) < nth: isPrime = True for prime in primes: if number % prime == 0: isPrime = False break if (prime * prime > number): break if isPrime: primes.append(number) number += 2 return primes[nth - 1] print nthPrime(10001) print "Elapsed Time:", (time.time() - start) * 1000, "millisecs" a=raw_input('Press return to continue')

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  • Project Euler 13: (Iron)Python

    - by Ben Griswold
    In my attempt to learn (Iron)Python out in the open, here’s my solution for Project Euler Problem 13.  As always, any feedback is welcome. # Euler 13 # http://projecteuler.net/index.php?section=problems&id=13 # Work out the first ten digits of the sum of the # following one-hundred 50-digit numbers. import time start = time.time() number_string = '\ 37107287533902102798797998220837590246510135740250\ 46376937677490009712648124896970078050417018260538\ 74324986199524741059474233309513058123726617309629\ 91942213363574161572522430563301811072406154908250\ 23067588207539346171171980310421047513778063246676\ 89261670696623633820136378418383684178734361726757\ 28112879812849979408065481931592621691275889832738\ 44274228917432520321923589422876796487670272189318\ 47451445736001306439091167216856844588711603153276\ 70386486105843025439939619828917593665686757934951\ 62176457141856560629502157223196586755079324193331\ 64906352462741904929101432445813822663347944758178\ 92575867718337217661963751590579239728245598838407\ 58203565325359399008402633568948830189458628227828\ 80181199384826282014278194139940567587151170094390\ 35398664372827112653829987240784473053190104293586\ 86515506006295864861532075273371959191420517255829\ 71693888707715466499115593487603532921714970056938\ 54370070576826684624621495650076471787294438377604\ 53282654108756828443191190634694037855217779295145\ 36123272525000296071075082563815656710885258350721\ 45876576172410976447339110607218265236877223636045\ 17423706905851860660448207621209813287860733969412\ 81142660418086830619328460811191061556940512689692\ 51934325451728388641918047049293215058642563049483\ 62467221648435076201727918039944693004732956340691\ 15732444386908125794514089057706229429197107928209\ 55037687525678773091862540744969844508330393682126\ 18336384825330154686196124348767681297534375946515\ 80386287592878490201521685554828717201219257766954\ 78182833757993103614740356856449095527097864797581\ 16726320100436897842553539920931837441497806860984\ 48403098129077791799088218795327364475675590848030\ 87086987551392711854517078544161852424320693150332\ 59959406895756536782107074926966537676326235447210\ 69793950679652694742597709739166693763042633987085\ 41052684708299085211399427365734116182760315001271\ 65378607361501080857009149939512557028198746004375\ 35829035317434717326932123578154982629742552737307\ 94953759765105305946966067683156574377167401875275\ 88902802571733229619176668713819931811048770190271\ 25267680276078003013678680992525463401061632866526\ 36270218540497705585629946580636237993140746255962\ 24074486908231174977792365466257246923322810917141\ 91430288197103288597806669760892938638285025333403\ 34413065578016127815921815005561868836468420090470\ 23053081172816430487623791969842487255036638784583\ 11487696932154902810424020138335124462181441773470\ 63783299490636259666498587618221225225512486764533\ 67720186971698544312419572409913959008952310058822\ 95548255300263520781532296796249481641953868218774\ 76085327132285723110424803456124867697064507995236\ 37774242535411291684276865538926205024910326572967\ 23701913275725675285653248258265463092207058596522\ 29798860272258331913126375147341994889534765745501\ 18495701454879288984856827726077713721403798879715\ 38298203783031473527721580348144513491373226651381\ 34829543829199918180278916522431027392251122869539\ 40957953066405232632538044100059654939159879593635\ 29746152185502371307642255121183693803580388584903\ 41698116222072977186158236678424689157993532961922\ 62467957194401269043877107275048102390895523597457\ 23189706772547915061505504953922979530901129967519\ 86188088225875314529584099251203829009407770775672\ 11306739708304724483816533873502340845647058077308\ 82959174767140363198008187129011875491310547126581\ 97623331044818386269515456334926366572897563400500\ 42846280183517070527831839425882145521227251250327\ 55121603546981200581762165212827652751691296897789\ 32238195734329339946437501907836945765883352399886\ 75506164965184775180738168837861091527357929701337\ 62177842752192623401942399639168044983993173312731\ 32924185707147349566916674687634660915035914677504\ 99518671430235219628894890102423325116913619626622\ 73267460800591547471830798392868535206946944540724\ 76841822524674417161514036427982273348055556214818\ 97142617910342598647204516893989422179826088076852\ 87783646182799346313767754307809363333018982642090\ 10848802521674670883215120185883543223812876952786\ 71329612474782464538636993009049310363619763878039\ 62184073572399794223406235393808339651327408011116\ 66627891981488087797941876876144230030984490851411\ 60661826293682836764744779239180335110989069790714\ 85786944089552990653640447425576083659976645795096\ 66024396409905389607120198219976047599490197230297\ 64913982680032973156037120041377903785566085089252\ 16730939319872750275468906903707539413042652315011\ 94809377245048795150954100921645863754710598436791\ 78639167021187492431995700641917969777599028300699\ 15368713711936614952811305876380278410754449733078\ 40789923115535562561142322423255033685442488917353\ 44889911501440648020369068063960672322193204149535\ 41503128880339536053299340368006977710650566631954\ 81234880673210146739058568557934581403627822703280\ 82616570773948327592232845941706525094512325230608\ 22918802058777319719839450180888072429661980811197\ 77158542502016545090413245809786882778948721859617\ 72107838435069186155435662884062257473692284509516\ 20849603980134001723930671666823555245252804609722\ 53503534226472524250874054075591789781264330331690' total = 0 for i in xrange(0, 100 * 50 - 1, 50): total += int(number_string[i:i+49]) print str(total)[:10] print "Elapsed Time:", (time.time() - start) * 1000, "millisecs" a=raw_input('Press return to continue')

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  • Parallel Computing in .Net 4.0

    - by kaleidoscope
    Technorati Tags: Ram,Parallel Computing in .Net 4.0 Parallel computing is the simultaneous use of multiple compute resources to solve a computational problem: To be run using multiple CPUs A problem is broken into discrete parts that can be solved concurrently Each part is further broken down to a series of instructions Instructions from each part execute simultaneously on different CPUs Parallel Extensions in .NET 4.0 provides a set of libraries and tools to achieve the above mentioned objectives. This supports two paradigms of parallel computing Data Parallelism – This refers to dividing the data across multiple processors for parallel execution.e.g we are processing an array of 1000 elements we can distribute the data between two processors say 500 each. This is supported by the Parallel LINQ (PLINQ) in .NET 4.0 Task Parallelism – This breaks down the program into multiple tasks which can be parallelized and are executed on different processors. This is supported by Task Parallel Library (TPL) in .NET 4.0 A high level view is shown below:

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  • Strange javascript error when using Kongregates API

    - by Phil
    In the hopes of finding a fellow unity3d developer also aiming for the Kongregate contest.. I've implemented the Kongregate API and can see that the game receives a call with my username and presents it ingame. I'm using Application.ExternalCall("kongregate.stats.submit",type,amount); where type is a string "Best Score" and amount is an int (1000 or something). This is the error I'm getting: You are trying to call recursively into the Flash Player which is not allowed. In most cases the JavaScript setTimeout function, can be used as a workaround. callASFunction:function(a,b){if(FABrid...tion, can be used as a workaround."); I'm wondering, has anyone else had this error or am I somehow doing something stupid? Thanks!

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  • Project Euler 6: (Iron)Python

    - by Ben Griswold
    In my attempt to learn (Iron)Python out in the open, here’s my solution for Project Euler Problem 6.  As always, any feedback is welcome. # Euler 6 # http://projecteuler.net/index.php?section=problems&id=6 # Find the difference between the sum of the squares of # the first one hundred natural numbers and the square # of the sum. import time start = time.time() square_of_sums = sum(range(1,101)) ** 2 sum_of_squares = reduce(lambda agg, i: agg+i**2, range(1,101)) print square_of_sums - sum_of_squares print "Elapsed Time:", (time.time() - start) * 1000, "millisecs" a=raw_input('Press return to continue')

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  • Timing Calculations for Opengl ES 2.0 draw calls

    - by Arun AC
    I am drawing a cube in OpenGL ES 2.0 in Linux. I am calculating the time taken for each frame using below function #define NANO 1000000000 #define NANO_TO_MICRO(x) ((x)/1000) uint64_t getTick() { struct timespec stCT; clock_gettime(CLOCK_MONOTONIC, &stCT); uint64_t iCurrTimeNano = (1000000000 * stCT.tv_sec + stCT.tv_nsec); // in Nano Secs uint64_t iCurrTimeMicro = NANO_TO_MICRO(iCurrTimeNano); // in Micro Secs return iCurrTimeMicro; } I am running my code for 100 frames with simple x-axis rotation. I am getting around 200 to 220 microsecs per frame. that means am i getting around (1/220microsec = 4545) FPS Is my GPU is that fast? I strongly doubt this result. what went wrong in the code? Regards, Arun AC

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