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GPU Computing Gems, Jade Edition, offers hands-on, proven techniques for general purpose GPU programming based on the successful;
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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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This book presents a collection of state of the art research on GPU Computing and Application. The major part of this book is selected from;
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This book covers the new topic of GPU computing with many applications involved, taken from diverse fields such as networking, seismology;
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This book covers the new topic of GPU computing with many applications involved, taken from diverse fields such as networking, seismology;
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The GPU Gems series features a collection of the most essential algorithms required by Next-Generation 3D Engines. --Martin Mittring, Lead;
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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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Break into the powerful world of parallel GPU programming with this down-to-earth, practical guide Designed for professionals across;
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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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experience, and cover the basics along with best practices for efficient GPU computing using CUDA Fortran. To help you add CUDA Fortran to;
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Multicore and GPU Programming: An Integrated Approach, Second Edition offers broad coverage of key parallel computing tools, essential;
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programming on a graphics processing unit (GPU) while covering some material also relevant to programming on a central processing unit (CPU). It;
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processing unit (GPU) while covering some material also relevant to programming on a central processing unit (CPU). It discusses many concepts;
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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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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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orchestration to real-time and security requirements. The transitions from multicore processors, GPU computing, and Cloud computing are not separate;
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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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stable support across all the libraries we use in this book. Key Features Expand your background in GPU programming-PyCUDA, scikit-cuda, and;
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Computer Organization and Design, Fourth Edition, has been updated with new exercises and improvements throughout suggested by;
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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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Master Metal: The Next-Generation Graphics and GPU Programming Platform for Apple Developers Metal enables Apple developers to;
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Advances in GPU Research and Practice focuses on research and practices in GPU based systems. The topics treated cover a range;
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, simulations of atomic scale systems, tools and environments for accelerator based computational biomedicine, GPU computing, high performance computing;
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of the CloudGPU/Edge Computing, Artificial Intelligence, cyber physical systems, social networking, crowdsourcing and crowdsensing, 5G, trust;
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of the CloudGPU/Edge Computing, Artificial Intelligence, cyber physical systems, social networking, crowdsourcing and crowdsensing, 5G, trust;
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