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introduce a general hardware acceleration technique that can significantly speed up FDTD simulations and their applications to engineering problems;
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transformation. Next, the book: Presents basic concepts of parallel processing techniques and systems, including parallel FDTD techniques and systems;
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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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Explore GPU-enabled programmable environment for machine learning, scientific applications, and gaming using PuCUDA, PyOpenGL, and Anaconda;
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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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GPU-based Parallel Implementation of Swarm Intelligence Algorithms combines and covers two emerging areas attracting increased attention;
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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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Programming Massively Parallel Processors discusses the basic concepts of parallel programming and GPU architecture. Various techniques;
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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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of SAX/GA and genetic operators work to optimize possible solutions. This study is later used as the baseline for the development of parallel;
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embedded hardware platforms Discover C++ and Python libraries for GPU acceleration Book DescriptionComputer vision has been revolutionizing a wide;
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64-bit, AVX, AVX2, and AVX-512 instruction sets for maximum possible performance Who This Book Is For Software developers;
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GPU programming in MATLAB is intended for scientists, engineers, or students who develop or maintain applications in MATLAB and would;
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use mathematical and analytical techniques to predict different performance metrics in GPUs Illustrates the design of efficient GPU;
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GPU Parallel Program Development using CUDA teaches GPU programming by showing the differences among different families of GPUs. This;
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GPU Computing Gems Emerald Edition offers practical techniques in parallel computing using graphics processing units (GPUs) to enhance;
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Parallel and Distributed Processing Techniques and Applications is a compendium of articles and papers that were presented at PDPTA '14, an;
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Parallel and Distributed Processing Techniques and Applications is a compendium of articles and papers that were presented at PDPTA '13, an;
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CPU, GPU, FPGA)Use SYCL and SYCL compilers Connect with computing's heterogeneous future via Intel's oneAPI initiative Who This;
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can exploit data level parallelism, important for the processing of big data, large batches of data and related important in data science and;
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can exploit data level parallelism, important for the processing of big data, large batches of data and related important in data science and;
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intelligence; programming tools and techniques for GPU computing; and the edge and node parallelism approach for computing graph centrality metrics;
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Master Metal: The Next-Generation Graphics and GPU Programming Platform for Apple Developers Metal enables Apple developers to;
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equations, and 11 appendixes filled with helpful data processing techniques related to the FDTD method.;
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implementation of the DEM on three popular parallel computing platforms; the multi-core PC, the GPU computer, and the cluster supercomputer. Featuring;
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GPU Parallel Program Development using CUDA teaches GPU programming by showing the differences among different families of GPUs. This;
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