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  • Opportunities in Cloud Computing

    - by Paul Sorensen
    A recent article from CIO Journal indicates that there is an extreme labor shortage (in certain technology areas) that is is leading to upward pressure on wages for IT Workers. This represents a great opportunity for those with certain skill-sets, among which include Java (Oracle certification is mentioned specifically). The article points out that a key driver of the labor shortage is the expansion of cloud computing. Cloud computing is set up to make life extremely simple for end-users, but the model pushes the complexity to back-end systems which are sophisticated, enterprise-level computing stacks (Oracle has an extensive set of cloud computing solutions). These complex systems require very highly-skilled IT professionals (the best-of-the-best) to successfully develop, implement, administer and maintain them. What this mean for you is that there is opportunity for those who have the appropriate skills at the appropriate levels. If you want to be a part of this opportunity you should do a self-assessment of your own skill-sets and experience. Based upon your results you can decide where it would be most appropriate to spend your time and resources for the highest return on your investment. By expanding and sharpening your skills and by gaining greater experience you will be better prepared to take advantage of career opportunities (like this) that come along periodically. As you evaluate your needs remember that Oracle University has a tremendous selection of high-quality eduction offerings (including training and certification) that can you help move your career forward. Thanks and best of luck!

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  • F# performance in scientific computing

    - by aaa
    hello. I am curious as to how F# performance compares to C++ performance? I asked a similar question with regards to Java, and the impression I got was that Java is not suitable for heavy numbercrunching. I have read that F# is supposed to be more scalable and more performant, but how is this real-world performance compares to C++? specific questions about current implementation are: How well does it do floating-point? Does it allow vector instructions how friendly is it towards optimizing compilers? How big a memory foot print does it have? Does it allow fine-grained control over memory locality? does it have capacity for distributed memory processors, for example Cray? what features does it have that may be of interest to computational science where heavy number processing is involved? Are there actual scientific computing implementations that use it? Thanks

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  • Managed language for scientific computing software

    - by heisen
    Scientific computing is algorithm intensive and can also be data intensive. It often needs to use a lot of memory to run analysis and release it before continuing with the next. Sometime it also uses memory pool to recycle memory for each analysis. Managed language is interesting here because it can allow the developer to concentrate on the application logic. Since it might need to deal with huge dataset, performance is important too. But how can we control memory and performance with managed language?

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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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  • Technical Computing

      Today, Microsoft announced our Technical Computing initiative.    Through the Technical Computing initiative, we will enable scientists, engineers and analysts to more easily model the world at much greater fidelity.  The Technical Computing initiative will address a wide range of users.  One of the most critical elements is to help developers create applications that can take advantage of parallelism on their desktop, in a cluster, and in public and private clouds. ...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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  • Windows Azure Recipe: High Performance Computing

    - by Clint Edmonson
    One of the most attractive ways to use a cloud platform is for parallel processing. Commonly known as high-performance computing (HPC), this approach relies on executing code on many machines at the same time. On Windows Azure, this means running many role instances simultaneously, all working in parallel to solve some problem. Doing this requires some way to schedule applications, which means distributing their work across these instances. To allow this, Windows Azure provides the HPC Scheduler. This service can work with HPC applications built to use the industry-standard Message Passing Interface (MPI). Software that does finite element analysis, such as car crash simulations, is one example of this type of application, and there are many others. The HPC Scheduler can also be used with so-called embarrassingly parallel applications, such as Monte Carlo simulations. Whatever problem is addressed, the value this component provides is the same: It handles the complex problem of scheduling parallel computing work across many Windows Azure worker role instances. Drivers Elastic compute and storage resources Cost avoidance Solution Here’s a sketch of a solution using our Windows Azure HPC SDK: Ingredients Web Role – this hosts a HPC scheduler web portal to allow web based job submission and management. It also exposes an HTTP web service API to allow other tools (including Visual Studio) to post jobs as well. Worker Role – typically multiple worker roles are enlisted, including at least one head node that schedules jobs to be run among the remaining compute nodes. Database – stores state information about the job queue and resource configuration for the solution. Blobs, Tables, Queues, Caching (optional) – many parallel algorithms persist intermediate and/or permanent data as a result of their processing. These fast, highly reliable, parallelizable storage options are all available to all the jobs being processed. Training Here is a link to online Windows Azure training labs where you can learn more about the individual ingredients described above. (Note: The entire Windows Azure Training Kit can also be downloaded for offline use.) Windows Azure HPC Scheduler (3 labs)  The Windows Azure HPC Scheduler includes modules and features that enable you to launch and manage high-performance computing (HPC) applications and other parallel workloads within a Windows Azure service. The scheduler supports parallel computational tasks such as parametric sweeps, Message Passing Interface (MPI) processes, and service-oriented architecture (SOA) requests across your computing resources in Windows Azure. With the Windows Azure HPC Scheduler SDK, developers can create Windows Azure deployments that support scalable, compute-intensive, parallel applications. See my Windows Azure Resource Guide for more guidance on how to get started, including links web portals, training kits, samples, and blogs related to Windows Azure.

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  • With MSDN and BizSpark, Cloud Computing is Closer than You Think

    Cloud computing offers significant advantages for businesses of all sizes, and it's easier to get started than you think. Microsoft makes Windows Azure compute time available for MSDN subscribers, as well as for software start-ups through the Microsoft BizSpark program. Learn why cloud computing is a good fit for you and how you can get started.

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  • With MSDN and BizSpark, Cloud Computing is Closer than You Think

    Cloud computing offers significant advantages for businesses of all sizes, and it's easier to get started than you think. Microsoft makes Windows Azure compute time available for MSDN subscribers, as well as for software start-ups through the Microsoft BizSpark program. Learn why cloud computing is a good fit for you and how you can get started.

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  • Understanding the levels of computing

    - by RParadox
    Sorry, for my confused question. I'm looking for some pointers. Up to now I have been working mostly with Java and Python on the application layer and I have only a vague understanding of operating systems and hardware. I want to understand much more about the lower levels of computing, but it gets really overwhelming somehow. At university I took a class about microprogramming, i.e. how processors get hard-wired to implement the ASM codes. Up to now I always thought I wouldn't get more done if learned more about the "low level". One question I have is: how is it even possible that hardware gets hidden almost completely from the developer? Is it accurate to say that the operating system is a software layer for the hardware? One small example: in programming I have never come across the need to understand what L2 or L3 Cache is. For the typical business application environment one almost never needs to understand assembler and the lower levels of computing, because nowadays there is a technology stack for almost anything. I guess the whole point of these lower levels is to provide an interface to higher levels. On the other hand I wonder how much influence the lower levels can have, for example this whole graphics computing thing. So, on the other hand, there is this theoretical computer science branch, which works on abstract computing models. However, I also rarely encountered situations, where I found it helpful thinking in the categories of complexity models, proof verification, etc. I sort of know, that there is a complexity class called NP, and that they are kind of impossible to solve for a big number of N. What I'm missing is a reference for a framework to think about these things. It seems to me, that there all kinds of different camps, who rarely interact. The last few weeks I have been reading about security issues. Here somehow, much of the different layers come together. Attacks and exploits almost always occur on the lower level, so in this case it is necessary to learn about the details of the OSI layers, the inner workings of an OS, etc.

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  • What is Cloud Computing?

    - by joelvarty
    This is a question that we discuss quite often at Edentity.  It’s one of those things, kind of like “web services” where the terminology has been thrown around by a ton of people and means a lot of different things. Here’s my favorite diagram so far, which is a visual breakdown of the material presented here by NIST, visualized by the folks at Cloud Security Alliance.     What I like about this diagram is that is shows several different ways that we can differentiate our definitions of cloud computing, from the essential characteristics, or which “Broad Network Access" and “On-Demand Self-Service” (which often are used on their own to define cloud computing) are but a couple of things that help make something “cloud”. The most important section from my point of view is the middle one – the Service Models.  This represents the different ways that cloud computing can be exposed from the ground up.  It can be an Infrastructure, a Platform or a piece of Software that an end user interacts with. This is the future, folks. more late - joel

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  • Windows Azure Recipe: Mobile Computing

    - by Clint Edmonson
    A while back, mashups were all the rage. The idea was to compose solutions that provided aggregation and integration across applications and services to make information more available, useful, and personal. Mashups ushered in the era of Web 2.0 in all it’s socially connected goodness. They taught us that to be successful, we needed to add web service APIs to our web applications. Web and client based mashups met with great success and have evolved even further with the introduction of the internet connected smartphone. Nothing is more available, useful, or personal than our smartphones. The current generation of cloud connected mobile computing mashups allow our mobilized workforces to receive, process, and react to information from disparate sources faster than ever before. Drivers Integration Reach Time to market Solution Here’s a sketch of a prototypical mobile computing solution using Windows Azure: Ingredients Web Role – with the phone running a dedicated client application, the web role is responsible for serving up backend web services that implement the solution’s core connected functionality. Database – used to store core operational and workflow data for the solution’s web services. Access Control – this service is used to authenticate and manage users identity, roles, and groups, possibly in conjunction with 3rd identity providers such as Windows LiveID, Google, Yahoo!, and Facebook. Worker Role – this role is used to handle the orchestration of long-running, complex, asynchronous operations. While much of the integration and interaction with other services can be handled directly by the mobile client application, it’s possible that the backend may need to integrate with 3rd party services as well. Offloading this work to a worker role better distributes computing resources and keeps the web roles focused on direct client interaction. Queues – these provide reliable, persistent messaging between applications and processes. They are an absolute necessity once asynchronous processing is involved. Queues facilitate the flow of distributed events and allow a solution to send push notifications back to mobile devices at appropriate times. Training & Resources These links point to online Windows Azure training labs and resources where you can learn more about the individual ingredients described above. (Note: The entire Windows Azure Training Kit can also be downloaded for offline use.) Windows Azure (16 labs) Windows Azure is an internet-scale cloud computing and services platform hosted in Microsoft data centers, which provides an operating system and a set of developer services which can be used individually or together. It gives developers the choice to build web applications; applications running on connected devices, PCs, or servers; or hybrid solutions offering the best of both worlds. New or enhanced applications can be built using existing skills with the Visual Studio development environment and the .NET Framework. With its standards-based and interoperable approach, the services platform supports multiple internet protocols, including HTTP, REST, SOAP, and plain XML SQL Azure (7 labs) Microsoft SQL Azure delivers on the Microsoft Data Platform vision of extending the SQL Server capabilities to the cloud as web-based services, enabling you to store structured, semi-structured, and unstructured data. Windows Azure Services (9 labs) As applications collaborate across organizational boundaries, ensuring secure transactions across disparate security domains is crucial but difficult to implement. Windows Azure Services provides hosted authentication and access control using powerful, secure, standards-based infrastructure. Windows Azure Toolkit for Windows Phone The Windows Azure Toolkit for Windows Phone is designed to make it easier for you to build mobile applications that leverage cloud services running in Windows Azure. The toolkit includes Visual Studio project templates for Windows Phone and Windows Azure, class libraries optimized for use on the phone, sample applications, and documentation Windows Azure Toolkit for iOS The Windows Azure Toolkit for iOS is a toolkit for developers to make it easy to access Windows Azure storage services from native iOS applications. The toolkit can be used for both iPhone and iPad applications, developed using Objective-C and XCode. Windows Azure Toolkit for Android The Windows Azure Toolkit for Android is a toolkit for developers to make it easy to work with Windows Azure from native Android applications. The toolkit can be used for native Android applications developed using Eclipse and the Android SDK. See my Windows Azure Resource Guide for more guidance on how to get started, including links web portals, training kits, samples, and blogs related to Windows Azure.

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  • Roger Jennings’ Cloud Computing with the Windows Azure Platform

    - by guybarrette
    Writing and publishing a book about a technology early in its infancy is cruel.  Your subjected to many product changes and your book might be outdated the day it reaches the book stores.  I bought Roger Jennings “Cloud Computing with the Windows Azure Platform” book knowing that it was published in October 2009 and that many changes occurred to the Azure platform in 2009. Right off the bat and from a technology point of view, some chapters are now outdated but don’t reject this book because of that.  In the first few chapters, Jennings does a great job at explaining Cloud Computing and the Azure platform from a business point of view, something that few Azure articles and blogs fail to do right now.  You may want to wait for the second edition and read Jennings’ outstanding Azure focused blog in the meantime.   var addthis_pub="guybarrette";

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  • Microsoft Technical Computing

    In the past I have described the team I belong to here at Microsoft (Parallel Computing Platform) in terms of contributing to Visual Studio and related products, e.g. .NET Framework. To be more precise, our team is part of the Technical Computing group, which is still part of the Developer Division. This was officially announced externally earlier this month in an exec email (from Bob Muglia, the president of STB, to which DevDiv belongs). Here is an extract: " As we build the Technical...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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  • Technical Computing Initiative, Jim Gray and a Virtual Framed Letter on my Wall

    Today Microsoft announced their Technical Computing Initiative, a program to help scientists and engineers take advantage of the latest breakthroughs in parallel computing, bandwidth increases, and technologies that will make doing scientific research akin to using spreadsheets (as opposed to writing really complex custom code).  This is actually the culmination of work that the late Jim Gray, formerly a technical fellow at Microsoft, was working on. I didn't really know Jim, and frankly only...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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  • Oracle’s Sun Server X4-8 with Built-in Elastic Computing

    - by kgee
    We are excited to announce the release of Oracle's new 8-socket server, Sun Server X4-8. It’s the most flexible 8-socket x86 server Oracle has ever designed, and also the most powerful. Not only does it use the fastest Intel® Xeon® E7 v2 processors, but also its memory, I/O and storage subsystems are all designed for maximum performance and throughput. Like its predecessor, the Sun Server X4-8 uses a “glueless” design that allows for maximum performance for Oracle Database, while also reducing power consumption and improving reliability. The specs are pretty impressive. Sun Server X4-8 supports 120 cores (or 240 threads), 6 TB memory, 9.6 TB HDD capacity or 3.2 TB SSD capacity, contains 16 PCIe Gen 3 I/O expansion slots, and allows for up to 6.4 TB Sun Flash Accelerator F80 PCIe Cards. The Sun Server X4-8 is also the most dense x86 server with its 5U chassis, allowing 60% higher rack-level core and DIMM slot density than the competition.  There has been a lot of innovation in Oracle’s x86 product line, but the latest and most significant is a capability called elastic computing. This new capability is built into each Sun Server X4-8.   Elastic computing starts with the Intel processor. While Intel provides a wide range of processors each with a fixed combination of core count, operational frequency, and power consumption, customers have been forced to make tradeoffs when they select a particular processor. They have had to make educated guesses on which particular processor (core count/frequency/cache size) will be best suited for the workload they intend to execute on the server.Oracle and Intel worked jointly to define a new processor, the Intel Xeon E7-8895 v2 for the Sun Server X4-8, that has unique characteristics and effectively combines the capabilities of three different Xeon processors into a single processor. Oracle system design engineers worked closely with Oracle’s operating system development teams to achieve the ability to vary the core count and operating frequency of the Xeon E7-8895 v2 processor with time without the need for a system level reboot.  Along with the new processor, enhancements have been made to the system BIOS, Oracle Solaris, and Oracle Linux, which allow the processors in the system to dynamically clock up to faster speeds as cores are disabled and to reach higher maximum turbo frequencies for the remaining active cores. One customer, a stock market trading company, will take advantage of the elastic computing capability of Sun Server X4-8 by repurposing servers between daytime stock trading activity and nighttime stock portfolio processing, daily, to achieve maximum performance of each workload.To learn more about Sun Server X4-8, you can find more details including the data sheet and white papers here.Josh Rosen is a Principal Product Manager for Oracle’s x86 servers, focusing on Oracle’s operating systems and software. He previously spent more than a decade as a developer and architect of system management software. Josh has worked on system management for many of Oracle's hardware products ranging from the earliest blade systems to the latest Oracle x86 servers.

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  • Slides and links from Cloud Computing Congress session on Windows Azure Platform

    - by Eric Nelson
    On Tuesday (16th March 2010) I presented on Azure to a none technical audience at the Cloud Computing Congress. Great audience, lots of folks, lots of questions during and after – although it did feel odd to do a session with no code :-) Lots of people asked me for my slide deck – which is a 30minute none technical overview. I will get it on my slideshare.net (which is being temperamental) but in the meantime I have hosted it on skydrive. or download link. Related Links: Steve Ballmer on Cloud Computing – We’re all in UK Azure Online Community – join today. UK Windows Azure Site Start working with Windows Azure TCO and ROI calculator for Windows Azure

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  • How do I restrict my kids' computing time?

    - by Takkat
    Access to our computer (not only to the internet) needs to be restricted for the accounts of my kids (7, 8) until they are old enough to manage this by themselves. Until then we need to be able to define the following: the hours of the day when computing is o.k. (e.g. 5 - 9 pm) the days of the week when computing is not o.k. (e.g. mondays to fridays) the amount of time allowed per day (e.g. 2 hours) In 11.10 all of the following that used to do the job don't work any more: Timekpr: for 11.10 not available through the ppa. The installed version from 11.04 does not work in 11.10. Timoutd: command line alternative, but in 11.10 removed from the repositories. Gnome Nanny: Looks great but repeatedly crashes to force restarting X-server. So we can't use or recommed this program at the moment. Are there any other alternatives?

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  • Google I/O 2010 - Cloud computing for geospatial apps

    Google I/O 2010 - Cloud computing for geospatial apps Google I/O 2010 - Unleash your map data: Cloud computing for geospatial applications Geo 101 Tom Manshreck The Google Maps API made geospatial development accessible to all but hosting your data remains complex and time consuming. This session will detail the services Google offers for storing your geospatial data in the cloud, illustrate the ways in which that data can be accessed and visualized, and walk through development of a retail store finder using these technologies. For all I/O 2010 sessions, please go to code.google.com From: GoogleDevelopers Views: 322 0 ratings Time: 40:22 More in Science & Technology

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  • Summary: Cloud Computing

    - by A&C Redaktion
    Im deutschsprachigen Oracle Partner Deutschland Blog veröffentlicht Alliances & Channel Germany regelmäßig spannende Hintergrund-Artikel und tolle Videos. In unseren "Summaries" fassen wir die interessantesten Themen für Sie zusammen. Heute: Cloud Computing Das Thema Cloud ist in aller Munde - aber was ist das eigentlich, die Cloud? Die Antwort gibt es hier:  Angela Jacobsen erklärt die Cloud Mit Solaris 11 bringt Oracle das erste Betriebssystem für die Cloud auf den Markt: Wolkig und heiter Der Oracle Gold Partner esentri widmet sich als einer der ersten Partner in Deutschland mit großem Engagement der Aufgabe, die Kunden auf dem Weg zum Cloud Computing zu begleiten: esentri stellt sich der Herausforderung Enterprise 2.0

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  • Azure Futures - Distributed Computing and Number Crunching

    - by JoshReuben
    "the biggest Azure customers today are the ones using HPC on-premises at the current time" - http://www.zdnet.com/blog/microsoft/windows-azure-futures-turning-the-cloud-into-a-supercomputer/8592?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+zdnet%2Fmicrosoft+%28ZDNet+All+About+Microsoft%29&utm_content=Google+Reader   Orleans Framework for cloud computing - http://research.microsoft.com/en-us/projects/orleans     HPC on Azure - http://www.zdnet.com/blog/microsoft/microsoft-finalizes-its-latest-supercomputing-operating-system-release/7414   Dryad is Microsoft’s competitor to Google MapReduce and Apache Hadoop  - http://www.zdnet.com/blog/microsoft/microsoft-takes-a-step-toward-commercializing-its-dryad-distributed-computing-technologies/8255?tag=mantle_skin;content   SQL Server Analysis Services DataMining in the cloud - http://www.sqlmag.com/article/reporting2/azure-data-mining-in-the-cloud.aspx

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