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  • Load Balance and Parallel Performance

    Load balancing an application workload among threads is critical to performance. However, achieving perfect load balance is non-trivial, and it depends on the parallelism within the application, workload, the number of threads, load balancing policy, and the threading implementation.

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  • GDD-BR 2010 [1H] VC Panel: Entrepreneurship, Incubation and Venture Capital

    GDD-BR 2010 [1H] VC Panel: Entrepreneurship, Incubation and Venture Capital Speakers: Don Dodge, Eric Acher, Humberto Matsuda, Alex Tabor Track: Panels Time slot: H [17:20 - 18:05] Room: 1 Startups can be built and funded anywhere in the world, not just Silicon Valley. Venture Capital investors are investing in startups globally, and funding incubators to hatch their future investments. Find out how you can get into an incubator, or funded by a Venture Capitalist or Angel Investors. Learn from examples in the USA and hear from local VC investors in this panel discussion. Get your questions answered by real investors. From: GoogleDevelopers Views: 6 0 ratings Time: 37:39 More in Science & Technology

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  • My schoolmates are playing too much and talk loudly, what should I do ? report them ? [closed]

    - by jokoon
    I'm a in a private game programming school class (there are also 3D/art classes in the school), and at least half or two third of the 12 people in my class play at various games (Age of Empires, web games, online card games, etc). They are talking quite loudly on top of that, and I'm getting hard times trying to concentrate: it feels like I'm in a cybercafe full of teenagers. I don't know if I have Hyperacusis (http://en.wikipedia.org/wiki/Hyperacusis),

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  • parallel_for_each from amp.h – part 1

    - by Daniel Moth
    This posts assumes that you've read my other C++ AMP posts on index<N> and extent<N>, as well as about the restrict modifier. It also assumes you are familiar with C++ lambdas (if not, follow my links to C++ documentation). Basic structure and parameters Now we are ready for part 1 of the description of the new overload for the concurrency::parallel_for_each function. The basic new parallel_for_each method signature returns void and accepts two parameters: a grid<N> (think of it as an alias to extent) a restrict(direct3d) lambda, whose signature is such that it returns void and accepts an index of the same rank as the grid So it looks something like this (with generous returns for more palatable formatting) assuming we are dealing with a 2-dimensional space: // some_code_A parallel_for_each( g, // g is of type grid<2> [ ](index<2> idx) restrict(direct3d) { // kernel code } ); // some_code_B The parallel_for_each will execute the body of the lambda (which must have the restrict modifier), on the GPU. We also call the lambda body the "kernel". The kernel will be executed multiple times, once per scheduled GPU thread. The only difference in each execution is the value of the index object (aka as the GPU thread ID in this context) that gets passed to your kernel code. The number of GPU threads (and the values of each index) is determined by the grid object you pass, as described next. You know that grid is simply a wrapper on extent. In this context, one way to think about it is that the extent generates a number of index objects. So for the example above, if your grid was setup by some_code_A as follows: extent<2> e(2,3); grid<2> g(e); ...then given that: e.size()==6, e[0]==2, and e[1]=3 ...the six index<2> objects it generates (and hence the values that your lambda would receive) are:    (0,0) (1,0) (0,1) (1,1) (0,2) (1,2) So what the above means is that the lambda body with the algorithm that you wrote will get executed 6 times and the index<2> object you receive each time will have one of the values just listed above (of course, each one will only appear once, the order is indeterminate, and they are likely to call your code at the same exact time). Obviously, in real GPU programming, you'd typically be scheduling thousands if not millions of threads, not just 6. If you've been following along you should be thinking: "that is all fine and makes sense, but what can I do in the kernel since I passed nothing else meaningful to it, and it is not returning any values out to me?" Passing data in and out It is a good question, and in data parallel algorithms indeed you typically want to pass some data in, perform some operation, and then typically return some results out. The way you pass data into the kernel, is by capturing variables in the lambda (again, if you are not familiar with them, follow the links about C++ lambdas), and the way you use data after the kernel is done executing is simply by using those same variables. In the example above, the lambda was written in a fairly useless way with an empty capture list: [ ](index<2> idx) restrict(direct3d), where the empty square brackets means that no variables were captured. If instead I write it like this [&](index<2> idx) restrict(direct3d), then all variables in the some_code_A region are made available to the lambda by reference, but as soon as I try to use any of those variables in the lambda, I will receive a compiler error. This has to do with one of the direct3d restrictions, where only one type can be capture by reference: objects of the new concurrency::array class that I'll introduce in the next post (suffice for now to think of it as a container of data). If I write the lambda line like this [=](index<2> idx) restrict(direct3d), all variables in the some_code_A region are made available to the lambda by value. This works for some types (e.g. an integer), but not for all, as per the restrictions for direct3d. In particular, no useful data classes work except for one new type we introduce with C++ AMP: objects of the new concurrency::array_view class, that I'll introduce in the post after next. Also note that if you capture some variable by value, you could use it as input to your algorithm, but you wouldn’t be able to observe changes to it after the parallel_for_each call (e.g. in some_code_B region since it was passed by value) – the exception to this rule is the array_view since (as we'll see in a future post) it is a wrapper for data, not a container. Finally, for completeness, you can write your lambda, e.g. like this [av, &ar](index<2> idx) restrict(direct3d) where av is a variable of type array_view and ar is a variable of type array - the point being you can be very specific about what variables you capture and how. So it looks like from a large data perspective you can only capture array and array_view objects in the lambda (that is how you pass data to your kernel) and then use the many threads that call your code (each with a unique index) to perform some operation. You can also capture some limited types by value, as input only. When the last thread completes execution of your lambda, the data in the array_view or array are ready to be used in the some_code_B region. We'll talk more about all this in future posts… (a)synchronous Please note that the parallel_for_each executes as if synchronous to the calling code, but in reality, it is asynchronous. I.e. once the parallel_for_each call is made and the kernel has been passed to the runtime, the some_code_B region continues to execute immediately by the CPU thread, while in parallel the kernel is executed by the GPU threads. However, if you try to access the (array or array_view) data that you captured in the lambda in the some_code_B region, your code will block until the results become available. Hence the correct statement: the parallel_for_each is as-if synchronous in terms of visible side-effects, but asynchronous in reality.   That's all for now, we'll revisit the parallel_for_each description, once we introduce properly array and array_view – coming next. Comments about this post by Daniel Moth welcome at the original blog.

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  • How do I organize a GUI application for passing around events and for setting up reads from a shared resource

    - by Savanni D'Gerinel
    My tools involved here are GTK and Haskell. My questions are probably pretty trivial for anyone who has done significant GUI work, but I've been off in the equivalent of CGI applications for my whole career. I'm building an application that displays tabular data, displays the same data in a graph form, and has an edit field for both entering new data and for editing existing data. After asking about sharing resources, I decided that all of the data involved will be stored in an MVar so that every component can just read the current state from the MVar. All of that works, but now it is time for me to rearrange the application so that it can be interactive. With that in mind, I have three widgets: a TextView (for editing), a TreeView (for displaying the data), and a DrawingArea (for displaying the data as a graph). I THINK I need to do two things, and the core of my question is, are these the right things, or is there a better way. Thing the first: All event handlers, those functions that will be called any time a redisplay is needed, need to be written at a high level and then passed into the function that actually constructs the widget to begin with. For instance: drawStatData :: DrawingArea -> MVar Core.ST -> (Core.ST -> SetRepWorkout.WorkoutStore) -> IO () createStatView :: (DrawingArea -> IO ()) -> IO VBox createUI :: MVar Core.ST -> (Core.ST -> SetRepWorkout.WorkoutStore) -> IO HBox createUI storeMVar field = do graphs <- createStatView (\area -> drawStatData area storeMVar field) hbox <- hBoxNew False 10 boxPackStart hbox graphs PackNatural 0 return hbox In this case, createStatView builds up a VBox that contains a DrawingArea to graph the data and potentially other widgets. It attaches drawStatData to the realize and exposeEvent events for the DrawingArea. I would do something similar for the TreeView, but I am not completely sure what since I have not yet done it and what I am thinking of would involve replacing the TreeModel every time the TreeView needs to be updated. My alternative to the above would be... drawStatData :: DrawingArea -> MVar Core.ST -> (Core.ST -> SetRepWorkout.WorkoutStore) -> IO () createStatView :: IO (VBox, DrawingArea) ... but in this case, I would arrange createUI like so: createUI :: MVar Core.ST -> (Core.ST -> SetRepWorkout.WorkoutStore) -> IO HBox createUI storeMVar field = do (graphbox, graph) <- createStatView (\area -> drawStatData area storeMVar field) hbox <- hBoxNew False 10 boxPackStart hbox graphs PackNatural 0 on graph realize (drawStatData graph storeMVar field) on graph exposeEvent (do liftIO $ drawStatData graph storeMVar field return ()) return hbox I'm not sure which is better, but that does lead me to... Thing the second: it will be necessary for me to rig up an event system so that various events can send signals all the way to my widgets. I'm going to need a mediator of some kind to pass events around and to translate application-semantic events to the actual events that my widgets respond to. Is it better for me to pass my addressable widgets up the call stack to the level where the mediator lives, or to pass the mediator down the call stack and have the widgets register directly with it? So, in summary, my two questions: 1) pass widgets up the call stack to a global mediator, or pass the global mediator down and have the widgets register themselves to it? 2) pass my redraw functions to the builders and have the builders attach the redraw functions to the constructed widgets, or pass the constructed widgets back and have a higher level attach the redraw functions (and potentially link some widgets together)? Okay, and... 3) Books or wikis about GUI application architecture, preferably coherent architectures where people aren't arguing about minute details? The application in its current form (displays data but does not write data or allow for much interaction) is available at https://bitbucket.org/savannidgerinel/fitness . You can run the application by going to the root directory and typing runhaskell -isrc src/Main.hs data/ or... cabal build dist/build/fitness/fitness data/ You may need to install libraries, but cabal should tell you which ones.

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  • Web Based Project Management System

    We are very well aware about the software development life cycle and project management system. But many of the developers assume that it is available only as desktop application. But now a days there are many online web based project management tools are available in market. In this article I am providing information about what is web based project management system, the available open source web based PMS and the benefits of using web based project management system for business owners.

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  • Week in Geek: Microsoft Security Essentials Loses its Certification after Failing AV Test

    - by Asian Angel
    Our first edition of WIG for December is filled with news link coverage on topics such as the Windows XP countdown clock has dropped to less than 500 days, software pirates have released a tool to crack Windows 8 apps, an online service is offering bank robbers for hire, and more. HTG Explains: Does Your Android Phone Need an Antivirus? How To Use USB Drives With the Nexus 7 and Other Android Devices Why Does 64-Bit Windows Need a Separate “Program Files (x86)” Folder?

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  • Are there efforts to build a collaboratively edited HTML/JS/DOM reference?

    - by Pekka
    W3Schools has a reputation of being incomplete, sometimes incorrect, and ridden with advertising; still, when looking to look up some things or link to documentation when answering a SO question, it still is the only handy cross-browser resource. There are other resources like the Mozilla Developer Network that is doing an increasingly great job documenting JavaScript, and the legendary and great Quirksmode. But they, as brilliant as they are, cover only parts of the areas I am talking about, and provide no community editing and quality control options. Is anybody aware of efforts to create a collaboratively edited, cross-browser HTML/CSS/JavaScript/DOM encyclopedia? If you will, I'm thinking of a challenger to W3Schools like SO was to Experts Exchange. (I thought this more suitable on Programmers than on SO proper - please correct me if I'm wrong.)

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  • How to Pick the Best Web Host for you

    How do you pick the best web host when there are thousands of hosting companies available online? It?s like going through the yellow pages trying to find burger restaurants. There are lots of them. H... [Author: Sue Woledge - Web Design and Development - April 07, 2010]

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  • SQL Server 2012 Service Pack 2 Cumulative Update #1 is available!

    - by AaronBertrand
    The SQL Server team has released SQL Server 2012 SP2 Cumulative Update #1. This cumulative updates Service Pack 2 to include the fixes from SP1 CU#10 and a few from CU#11, including the fix for the online index rebuild corruption issue I discussed recently on SQLPerformance.com . It also marks the first time in the SQL Server 2012 timeframe that both cumulative update branches are on roughly the same schedule, which makes many of us happy I'm sure. :-) KB Article: KB #2976982 Build # is 11.0.5532...(read more)

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  • Oracle BPM and Open Data integration development

    - by drrwebber
    Rapidly developing Oracle BPM application solutions with data source integration previously required significant Java and JDeveloper skills. Now using open source tools for open data development significantly reduces the coding needed.  Key tasks can be performed with visual drag and drop designing combined with menu selections entry and automatic form generation directly from XSD schema definitions. The architecture used is extremely lightweight, portable, open platform and scalable allowing integration with a variety of Oracle and non-Oracle data sources and systems. Two videos available on YouTube walk through the process at both an introductory conceptual level and then a deep dive into the programming needed using JDeveloper, Oracle BPM composer and Oracle WLS (WebLogic Server) along with the CAM editor and Open-XDX open source tools. Also available are coding samples and resources from the GitHub project page, along with working online demonstration resources on the VerifyXML site. Combining Oracle BPM with these open source tools provides a comprehensive simple and elegant solution set. Development times are slashed and rapid prototyping is enabled. Also existing data sources can be integrated using open data formats with either XML or JSON along with CRUD accessing via the Open-XDX Java component. The Open-XDX tool is a code-free approach where data mapping is configured as templates using visual drag and drop in the CAM Editor open source tool.  XML or JSON is then automatically generated or processed (output or input) and appropriate SQL statements created to support the data accessing.   Also included is the ability to integrate with fillable PDF forms via the XML templates and the Java PDF form filling library.  Again minimal Java coding is needed to associate the XML source content with the PDF named fields.  The Oracle BPM forms can be automatically generated from XSD schema definitions that are built from the data mapping templates.  This dramatically simplifies development work as all the integration artifacts needed are created by the open source editor toolset. The developer level video is designed as a tutorial with segments, hands-on demonstrations and reviews.  This allows developers to learn the techniques and approaches used in incremental steps. The intended audience ranges from data analysts to developers and assumes only entry level Java skills and knowledge.  Most actions are menu driven while Java coding is limited to simply configuring values and parameters along with performing builds and deployments from JDeveloper and Oracle WLS.   Additional existing Oracle online training resources can be referenced on Oracle BPM and WLS that cover other normal delivery aspects such as user management and application deployment.

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  • Why do we need a format for binary executable files

    - by user3671483
    When binary files (i.e. executables) are saved they usually have a format (e.g. ELF or .out) where we have a header containing pointers to where data or code is stored inside the file. But why don't we store the binary files directly in the form of sequence of machine instructions.Why do we need to store data separately from the code?Secondly when the assembler creates a binary file is the file is among the above formats?

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  • La evolución en lenguajes de programación, DART en detalles

    La evolución en lenguajes de programación, DART en detalles En este programa presentaremos una visión general de las novedades tecnológicas desde el equipo de relaciones para desarrolladores de la región de sur de Latinoamérica. Seguiremos presentando nuestro enfoque de desarrollo, ingeniería y las mejores prácticas para implementar tecnología Google favoreciendo la evolución de soluciones tecnológicas. Luego nos introduciremos en un escenario técnico en donde analizaremos la evolución en los lenguajes de programación para desarrolladores como DART. Finalmente estaremos conversando con la comunidad de desarrollo, resolviendo un desafío técnico y premiando todo el talento regional. From: GoogleDevelopers Views: 0 0 ratings Time: 02:00:00 More in Education

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  • Is there a major difference between JMF 1.0 and JMF 2.1.1

    - by Fasih Khatib
    Alright, this question stems from the fact that there are very few online resources for learning JMF. The books that are available are quite old, some of them out of publication. This question is an extension to my other question where asked I for the name of a book that I could use to learn JMF. So, is there a major difference between JMF 1.0 and JMF 2.1.1? Should I go ahead and buy a book that covers JMF 1.0?

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