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An introduction to parallel programming with openmpi using C. It is written so that someone with even a basic understanding of programming;
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Book Is ForThose new data-parallel programming and computer programmers interested in data-parallel programming using C++.;
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Learn Accelerate C++ programs using data-parallel programming Target multiple device types (e.g. CPU, GPU, FPGA) Use;
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beginner in parallel programming and would like to quickly accelerate your algorithms using OpenCL, this book is perfect for you! You will find the;
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of massively-parallel computing with the comfort of sequential programming. Parallel Programming Using C++ describes fifteen parallel programming;
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programming allows the developer to remain focused on the work an application needs to perform. In Pro .NET 4 Parallel Programming in C#, Adam;
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/>Parallel Programming in OpenMP is the first book to teach both the novice and expert parallel programmers how to program using this new standard;
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handling C-Fortran Interoperability Object Oriented Programming Parallel Programming using Coarray Parallel Programming using OpenMP Parallel;
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Master efficient parallel programming to build powerful applications using Python About This Book * Design and implement efficient;
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asynchronous programming techniques using libraries and language features in .NET and C# 8.0. Concurrency is now more common in responsive and;
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Learn advanced C# concepts and techniques such as building caches, cryptography, and parallel programming by solving interesting;
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multiple industrial sectors, Professional CUDA C Programming presents CUDA -- a parallel computing platform and programming model designed to ease;
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connection to this peripheral (serial or parallel)?* How do I program using Win32?* How do I create a menu?* Which is better for my application, C;
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implement maintainable and efficient parallel algorithms using a composable, structured, scalable, and machine-independent approach to parallel;
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, using libraries and language features in .NET 4.5 and C# 5.0. Concurrency is becoming more common in responsive and scalable application;
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much more. Modern Parallel Programming with C++ and Assembly Language is an instructional text that explains x86 SIMD programming using;
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Learn the fundamentals of x86 Single instruction multiple data (SIMD) programming using C++ intrinsic functions and x86-64 assembly;
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adopted by major vendors of commercial parallel systems. This textbook/tutorial, based on the C language, contains many fully-developed examples;
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Data-Parallel Programming demonstrates that architecture-independent parallel programming is possible by describing in detail how programs;
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using freely available parallel software tools. The Second Edition has been revised to incorporate a greater focus on cluster programming as;
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using freely available parallel software tools. The Second Edition has been revised to incorporate a greater focus on cluster programming as;
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. Building on the previous volume, Using OpenMP: Portable Shared Memory Parallel Programming (MIT Press), this book goes beyond the fundamentals to;
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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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specifically for massively parallel environments. Shows you how to achieve both high-performance and high-reliability using the CUDA;
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you how to create high performing applications and solve programming challenges using a wide range of C# features. You'll begin by learning;
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Rust is a new systems programming language that gives you the low-level power of C with the elegance and ease of languages like Ruby and;
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