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The Parallel Programming Guide for Every Software DeveloperFrom grids and clusters to next-generation game consoles, parallel computing;
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Essential reading to understand patterns for parallel programming Software patterns have revolutionized the way we think about how;
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Structured Parallel Programming offers the simplest way for developers to learn patterns for high-performance parallel programming;
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programming and GPU architecture. Various techniques for constructing parallel programs are explored in detail. Case studies demonstrate the;
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pieces that can run at the same time. Of course, this is easier said than done. Parallel programming has a reputation for being the domain;
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concepts of parallel programming and GPU architecture, exploring, in detail, various techniques for constructing parallel programs. Case;
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computing courses. Various techniques for constructing and optimizing parallel programs are explored in detail, while case studies demonstrate the;
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in multithreading, synchronization, and functional programming Explore the parallel programming and multithreading techniques to make the code run faster;
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With multicore processors now in every computer, server, and embedded device, the need for cost-effective, reliable parallel software has;
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With multicore processors now in every computer, server, and embedded device, the need for cost-effective, reliable parallel software has;
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, then this book is for you. If you are already comfortable with C# but want to learn more about parallel design patterns, threads, tasks, and;
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* Dive into the powerful fundamentals of .NET framework for software development * The code is explained piece by piece and the application;
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Constructive Methods for Parallel Programming;
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Parallel Programming talks about a type of computation parallel programming and the parallel algorithm designed by technique PCAM . It;
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authors' open-source system for automated code evaluation provides easy access to parallel computing resources, making the book particularly;
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for inexpensive desktop computers. In only a few years, many standard software products will be based on concepts of parallel programming;
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Designed for undergraduate/graduate-level parallel programming courses. This nontheoretical, highly accessible text-which is linked to real;
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Designed for undergraduate/graduate-level parallel programming courses. This nontheoretical, highly accessible text-which is linked to real;
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for multi-core CPU programming and many-core "massively parallel" computing. Using threads, OpenMP, MPI, CUDA and other state-of-the-art tools;
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Parallel programming has been revolutionised in .NET 4, providing, for the first time, a standardised and simplified method for creating;
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used to make an important advance in the ease of distributed and parallel programming. As part of the fruits of Sun's Jini project, we now have;
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Break into the powerful world of parallel GPU programming with this down-to-earth, practical guide Designed for professionals across;
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in undergraduate parallel programming or parallel computing courses designed for the computer science major or as a service course to other departments;
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for constructing parallel programs are explored in detail. Case studies demonstrate the development process, which begins with computational;
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the human genome. However, software for parallel computers has developed far more slowly than the hardware. Many incompatible programming;
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