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  • parallel java libraries

    - by jetru
    I'm looking for Java libraries/applications which are parallel and feature objects that can be queried in parallel. That is, there is/are objects in which multiple types of operations can be made from different threads and these will be synchronized. It would be helpful if someone could ideas of where I could find such applications as well. EDIT: Actually, language doesn't matter so much, so C++, Python, anything is welcome

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  • Parallel For Loop - Problems when adding to a List - Possible .Net Bugs

    - by Kevin Crowell
    I am having some issues involving Parallel for loops and adding to a List. The problem is, the same code may generate different output at different times. I have set up some test code below. In this code, I create a List of 10,000 int values. 1/10th of the values will be 0, 1/10th of the values will be 1, all the way up to 1/10th of the values being 9. After setting up this List, I setup a Parallel for loop that iterates through the list. If the current number is 0, I add a value to a new List. After the Parallel for loop completes, I output the size of the list. The size should always be 1,000. Most of the time, the correct answer is given. However, I have seen 3 possible incorrect outcomes occur: The size of the list is less than 1,000 An IndexOutOfRangeException occurs @ doubleList.Add(0.0); An ArgumentException occurs @ doubleList.Add(0.0); The message for the ArgumentException given was: Destination array was not long enough. Check destIndex and length, and the array's lower bounds. What could be causing the errors? Is this a .Net bug? Is there something I can do to prevent this from happening? Please try the code for yourself. If you do not get an error, try it a few times. Please also note that you probably will not see any errors using a single-core machine. using System; using System.Collections.Generic; using System.Threading.Tasks; namespace ParallelTest { class Program { static void Main(string[] args) { List<int> intList = new List<int>(); List<double> doubleList = new List<double>(); for (int i = 0; i < 250; i++) { intList.Clear(); doubleList.Clear(); for (int j = 0; j < 10000; j++) { intList.Add(j % 10); } Parallel.For(0, intList.Count, j => { if (intList[j] == 0) { doubleList.Add(0.0); } }); if (doubleList.Count != 1000) { Console.WriteLine("On iteration " + i + ": List size = " + doubleList.Count); } } Console.WriteLine("\nPress any key to exit."); Console.ReadKey(); } } }

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  • Parallel For Loop - Problems when adding to a List

    - by Kevin Crowell
    I am having some issues involving Parallel for loops and adding to a List. The problem is, the same code may generate different output at different times. I have set up some test code below. In this code, I create a List of 10,000 int values. 1/10th of the values will be 0, 1/10th of the values will be 1, all the way up to 1/10th of the values being 9. After setting up this List, I setup a Parallel for loop that iterates through the list. If the current number is 0, I add a value to a new List. After the Parallel for loop completes, I output the size of the list. The size should always be 1,000. Most of the time, the correct answer is given. However, I have seen 3 possible incorrect outcomes occur: The size of the list is less than 1,000 An IndexOutOfRangeException occurs @ doubleList.Add(0.0); An ArgumentException occurs @ doubleList.Add(0.0); The message for the ArgumentException given was: Destination array was not long enough. Check destIndex and length, and the array's lower bounds. What could be causing the errors? Is this a .Net bug? Is there something I can do to prevent this from happening? Please try the code for yourself. If you do not get an error, try it a few times. Please also note that you probably will not see any errors using a single-core machine. using System; using System.Collections.Generic; using System.Threading.Tasks; namespace ParallelTest { class Program { static void Main(string[] args) { List<int> intList = new List<int>(); List<double> doubleList = new List<double>(); for (int i = 0; i < 250; i++) { intList.Clear(); doubleList.Clear(); for (int j = 0; j < 10000; j++) { intList.Add(j % 10); } Parallel.For(0, intList.Count, j => { if (intList[j] == 0) { doubleList.Add(0.0); } }); if (doubleList.Count != 1000) { Console.WriteLine("On iteration " + i + ": List size = " + doubleList.Count); } } Console.WriteLine("\nPress any key to exit."); Console.ReadKey(); } } }

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  • cloud computing in .net 4.0

    - by HotTester
    Since the launch of .net 4.0 the buzz word has been cloud computing. But very little is said and discussed about it in perspective of .net technologies. Further is it really the worth to invest or do we have sufficient current technologies that can handle what cloud computing offers ? Can you please describe it and an example would be quite helpful ! Thanks in advance.

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  • F#: Tell me what I'm missing about using Async.Parallel

    - by JBristow
    ok, so I'm doing ProjectEuler Problem #14, and I'm fiddling around with optimizations in order to feel f# out. in the following code: let evenrule n = n / 2L let oddrule n = 3L * n + 1L let applyRule n = if n % 2L = 0L then evenrule n else oddrule n let runRules n = let rec loop a final = if a = 1L then final else loop (applyRule a) (final + 1L) n, loop (int64 n) 1L let testlist = seq {for i in 3 .. 2 .. 1000000 do yield i } let getAns sq = sq |> Seq.head let seqfil (a,acc) (b,curr) = if acc = curr then (a,acc) else if acc < curr then (b,curr) else (a,acc) let pmap f l = seq { for a in l do yield async {return f a} } |> Seq.map Async.RunSynchronously let pmap2 f l = seq { for a in l do yield async {return f a} } |> Async.Parallel |> Async.RunSynchronously let procseq f l = l |> f runRules |> Seq.reduce seqfil |> fst let timer = System.Diagnostics.Stopwatch() timer.Start() let ans1 = testlist |> procseq Seq.map // 837799 00:00:08.6251990 printfn "%A\t%A" ans1 timer.Elapsed timer.Reset() timer.Start() let ans2 = testlist |> procseq pmap printfn "%A\t%A" ans2 timer.Elapsed // 837799 00:00:12.3010250 timer.Reset() timer.Start() let ans3 = testlist |> procseq pmap2 printfn "%A\t%A" ans3 timer.Elapsed // 837799 00:00:58.2413990 timer.Reset() Why does the Async.Parallel code run REALLY slow in comparison to the straight up map? I know I shouldn't see that much of an effect, since I'm only on a dual core mac. Please note that I do NOT want help solving problem #14, I just want to know what's up with my parallel code.

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  • Cloud Computing : publication du volet 3 du Syntec Numérique

    - by Eric Bezille
    Une vision client/fournisseur réunie autour d'une ébauche de cadre contractuel Lors de la Cloud Computing World Expo qui se tenait au CNIT la semaine dernière, j'ai assisté à la présentation du nouveau volet du Syntec numérique sur le Cloud Computing et les "nouveaux modèles" induits : modèles économiques, contrats, relations clients-fournisseurs, organisation de la DSI. L'originalité de ce livre blanc vis à vis de ceux déjà existants dans le domaine est de s'être attaché à regrouper l'ensemble des acteurs clients (au travers du CRIP) et fournisseurs, autour d'un cadre de formalisation contractuel, en s'appuyant sur le modèle e-SCM. Accélération du passage en fournisseur de Services et fin d'une IT en silos ? Si le Cloud Computing permet d'accélérer le passage de l'IT en fournisseur de services (dans la suite d'ITIL v3), il met également en exergue le challenge pour les DSI d'un modèle en rupture nécessitant des compétences transverses permettant de garantir les qualités attendues d'un service de Cloud Computing : déploiement en mode "self-service" à la demande, accès standardisé au travers du réseau,  gestion de groupes de ressources partagées,  service "élastique" : que l'on peut faire croitre ou diminuer rapidement en fonction de la demande mesurable On comprendra bien ici, que le Cloud Computing va bien au delà de la simple virtualisation de serveurs. Comme le décrit fort justement Constantin Gonzales dans son blog ("Three Enterprise Principles for Building Clouds"), l'important réside dans le respect du standard de l'interface d'accès au service. Ensuite, la façon dont il est réalisé (dans le nuage), est de la charge et de la responsabilité du fournisseur. A lui d'optimiser au mieux pour être compétitif, tout en garantissant les niveaux de services attendus. Pour le fournisseur de service, bien entendu, il faut maîtriser cette implémentation qui repose essentiellement sur l'intégration et l'automatisation des couches et composants nécessaires... dans la durée... avec la prise en charge des évolutions de chacun des éléments. Pour le client, il faut toujours s'assurer de la réversibilité de la solution au travers du respect des standards... Point également abordé dans le livre blanc du Syntec, qui rappelle les points d'attention et fait un état des lieux de l'avancement des standards autour du Cloud Computing. En vous souhaitant une bonne lecture...

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  • Intel Parallel XE : Intel publie un eBook gratuit pour découvrir son outil d'optimisation des développements parallèles

    Intel Parallel XE : Intel publie un eBook gratuit Pour découvrir son outil d'optimisation des développements parallèles Les solutions Intel Parallel développées, comme leur nm l'indique, par Intel sont un ensemble d'outils qui permettent une meilleure optimisation des développements parallèles pour tirer partie des architectures multi-coeurs. « La nouvelle gamme d'outils Intel Parallel XE permet aux équipes de développement de délivrer le code en temps et en heure avec le niveau de performance le plus élevé eet le minimum de défauts du cluster au desktop jusqu'au périphériques », explique Intel. Pour aider les développeurs dans la découverte et la prise en main d'Int...

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  • CISDI Cloud - Industrial Cloud Computing Platform based on Oracle Products

    - by Wenyu Duan
    In today's era, Cloud Computing is becoming integral to the vision and corporate strategy of leading organizations and is often seen as a key business driver to achieve growth and innovation. Headquartered in Chongqing, China, CISDI Engineering Co., Ltd. is a large state-owned engineering company, offering consulting, engineering design, EPC contracting, and equipment integration services to steel producers all over the world. With over 50 years of experience, CISDI offers quality services for every aspect of production for projects in the metal industry and the company has evolved into a leading international engineering service group with 18 subsidiaries providing complete lifecycle for E&C projects. CISDI group delegation led by Mr. Zhaohui Yu, CEO of CISDI Group, Mr. Zhiyou Li, CEO of CISDI Info, Mr. Qing Peng, CTO of CISDI Info and Mr. Xin Xiao, Head of CISDI Info's R&D joined Oracle OpenWorld 2012 and presented a very impressive cloud initiative case in their session titled “E&C Industry Solution in CISDI Cloud - An Industrial Cloud Computing Platform Based on Oracle Products”. CISDI group plans to expand through three phases in the construction of its cloud computing platform: first, it will relocate its existing technologies to Oracle systems, along with establishing private cloud for CISDI; secondly, it will gradually provide mixed cloud services for its subsidiaries and partners; and finally it plans to launch an industrial cloud with a highly mature, secure and scalable environment providing cloud services for customers in the engineering construction and steel industries, among others. “CISDI Cloud” will become the growth engine for the organization to expand its global reach through online services and achieving the strategic objective of being the preferred choice of E&C companies worldwide. The new cloud computing platform is designed to provide access to the shared computing resources pool in a self-service, dynamic, elastic and measurable way. It’s flexible and scalable grid structure can support elastic expansion and sustainable growth, and can bring significant benefits in speed, agility and efficiency. Further, the platform can greatly cut down deployment and maintenance costs. CISDI delegation highlighted these points as the key reasons why the group decided to have a strategic collaboration with Oracle for building this world class industrial cloud - - Oracle’s strategy: Open, Complete and Integrated - Oracle as the only company who can provide engineered system, with complete product chain of hardware and software - Exadata, Exalogic, EM 12c to provide solid foundation for "CISDI Cloud" The cloud blueprint and advanced architecture for industrial cloud computing platform presented in the session shows how Oracle products and technologies together with industrial applications from CISDI can provide end-end portfolio of E&C industry services in cloud. CISDI group was recognized for business leadership and innovative solutions and was presented with Engineering and Construction Industry Excellence Award during Oracle OpenWorld.

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  • OWB 11gR2 &ndash; Parallel DML and Query

    - by David Allan
    A quick post illustrating conventional (non direct path) parallel inserts and query using OWB following on from some recent posts from Jean-Pierre and Randolf on this topic. The mapping configuration properties is where you can define these hints in OWB, taking JP’s simplistic illustration, the parallel query hints in OWB are defined on the ‘Extraction hint’ property for the source, and the parallel DML hints are defined on the ‘Loading hint’ property on the target table operator. If we then generate the code you can see the intermediate code generated below… Finally…remember the parallel enabled session for this all to fly… Anyway, hope this helps join a few dots….

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  • Conventional Parallel Inserts do Exist in Oracle 11

    - by jean-pierre.dijcks
    Had an interesting chat with Greg about said topic and searching showed the following link to discuss this topic in some detail (no reason for me to repeat this). insert /*+ noappend parallel(t1) */ into t1 select /*+ parallel(t2) */ * from t2 generates a load table conventional and does give you a parallel insert without doing a direct path insert. As this is missing from the official documentation it is probably something few people actually know existed, so kudos to Randolf Geist.

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  • Slides for Parallel Debugging windows

    Recently I gave a talk at our Microsoft Shanghai offices on Parallel Programming so I had to update my existing Beta1 deck to Beta2 content. Specifically for Parallel Tasks and Parallel Stacks, I used 5 slides to accompany the demo.In case you are giving talks on parallelism within Visual Studio 2010, please feel free to download and use the updated parallel debugger slides (pptx).TIP: The slides have animations so be sure to F5 the deck for the full benefit and they also have text in the Comments section so be sure to see them at design time too. Comments about this post welcome at the original blog.

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  • Dump debugging with Parallel Stacks

    One of the areas where we fixed many bugs for Beta2 in our parallel debugging windows is with regards to managed dump debugging. So it was really cool to see Tess use the Parallel Stacks window in that scenario in her video demo with Scott.Other than the neat ability to open managed dumps in VS2010, Parallel Stacks was the only debugging feature she needed for diagnosing the issue! Check out the video, definitely worth 10 minutes of your time. Comments about this post welcome at the original blog.

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  • Getting Started with Cloud Computing

    - by juanlarios
    You’ve likely heard about how Office 365 and Windows Intune are great applications to get you started with Cloud Computing. Many of you emailed me asking for more info on what Cloud Computing is, including the distinction between "Public Cloud" and "Private Cloud". I want to address these questions and help you get started. Let's begin with a brief set of definitions and some places to find more info; however, an excellent place where you can always learn more about Cloud Computing is the Microsoft Virtual Academy. Public Cloud computing means that the infrastructure to run and manage the applications users are taking advantage of is run by someone else and not you. In other words, you do not buy the hardware or software to run your email or other services being used in your organization – that is done by someone else. Users simply connect to these services from their computers and you pay a monthly subscription fee for each user that is taking advantage of the service. Examples of Public Cloud services include Office 365, Windows Intune, Microsoft Dynamics CRM Online, Hotmail, and others. Private Cloud computing generally means that the hardware and software to run services used by your organization is run on your premises, with the ability for business groups to self-provision the services they need based on rules established by the IT department. Generally, Private Cloud implementations today are found in larger organizations but they are also viable for small and medium-sized businesses since they generally allow an automation of services and reduction in IT workloads when properly implemented. Having the right management tools, like System Center 2012, to implement and operate Private Cloud is important in order to be successful. So – how do you get started? The first step is to determine what makes the most sense to your organization. The nice thing is that you do not need to pick Public or Private Cloud – you can use elements of both where it makes sense for your business – the choice is yours. When you are ready to try and purchase Public Cloud technologies, the Microsoft Volume Licensing web site is a good place to find links to each of the online services. In particular, if you are interested in a trial for each service, you can visit the following pages: Office 365, CRM Online, Windows Intune, and Windows Azure. For Private Cloud technologies, start with some of the courses on Microsoft Virtual Academy and then download and install the Microsoft Private Cloud technologies including Windows Server 2008 R2 Hyper-V and System Center 2012 in your own environment and take it for a spin. Also, keep up to date with the Canadian IT Pro blog to learn about events Microsoft is delivering such as the IT Virtualization Boot Camps and more to get you started with these technologies hands on. Finally, I want to ask for your help to allow the team at Microsoft to continue to provide you what you need. Twice a year through something we call "The Global Relationship Study" – they reach out and contact you to see how they're doing and what Microsoft could do better. If you get an email from "Microsoft Feedback" with the subject line "Help Microsoft Focus on Customers and Partners" between March 5th and April 13th, please take a little time to tell them what you think. Cloud Computing Resources: Microsoft Server and Cloud Computing site – information on Microsoft's overall cloud strategy and products. Microsoft Virtual Academy – for free online training to help improve your IT skillset. Office 365 Trial/Info page – get more information or try it out for yourself. Office 365 Videos – see how businesses like yours have used Office 365 to transition to the cloud. Windows Intune Trial/Info – get more information or try it out for yourself. Microsoft Dynamics CRM Online page – information on trying and licensing Microsoft Dynamics CRM Online. Additional Resources You May Find Useful: Springboard Series Your destination for technical resources, free tools and expert guidance to ease the deployment and management of your Windows-based client infrastructure. TechNet Evaluation Center Try some of our latest Microsoft products for free, Like System Center 2012 Pre-Release Products, and evaluate them before you buy. AlignIT Manager Tech Talk Series A monthly streamed video series with a range of topics for both infrastructure and development managers. Ask questions and participate real-time or watch the on-demand recording. Tech·Days Online Discover what's next in technology and innovation with Tech·Days session recordings, hands-on labs and Tech·Days TV.

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  • Cloud Computing Business Benefits

    - by workflowman
    If you have been living under a rock for the past year, you wouldn't have heard about cloud computing. Cloud computing is a loose term that describes anything that is hosted in data centers and accessed via the internet. It is normally associated with developers who draw clouds in diagrams indicating where services or how systems communicate with each other. Cloud computing also incorporates such well-known trends as Web 2.0 and Software as a Service (SaaS) and more recently Infrastructure as a Service (IaaS) and Platform as a Service (PaaS). Its aim is to change the way we compute, moving from traditional desktop and on-premises servers to services and resources that are hosted in the cloud.  Benefits of Cloud Computing  There are clearly benefits in building applications using cloud computing, some of which are listed here:  Zero up- front investment:  Delivering a large-scale system costs a fortune in both time and money. Often IT departments are split into hardware/network and software services. The hardware team provisions servers and so forth under the requirements of the software team. Often the hardware team has a different budget that requires approval. Although hardware and software management are two separate disciplines, sometimes what happens is developers are given the task to estimate CPU cycles, disk space, and so forth, which ends up in underutilized servers.  Usage-based costing:  You pay for what you use, no more, no less, because you never actually own the server. This is similar to car leasing, where in the long run you get a new car every three years and maintenance is never a worry.  Potential for shrinking the processing time:  If processes are split over multiple machines, parallel processing is performed, which decreases processing time.  More office space:  Walk into most offices, and guaranteed you will find a medium- sized room dedicated to servers.  Efficient resource utilization:  The resource utilization is handed by a centralized cloud administrator who is in charge of deciding exactly the right amount of resources for a system. This takes the task away from local administrators, who have to regularly monitor these servers.  Just-in-time infrastructure:  If your system is a success and needs to scale to meet demand, this can cause further time delays or a slow- performing service. Cloud computing solves this because you can add more resources at any time.  Lower environmental impact:  If servers are centralized, potentially an environment initiative is more likely to succeed. As an example, if servers are placed in sunny or windy parts of the world, then why not use these resources to power those servers?  Lower costs:  Unfortunately, this is one point that administrators will not like. If you have people administrating your e-mail server and network along with support staff doing other cloud-based tasks, this workforce can be reduced. This saves costs, though it also reduces jobs.

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