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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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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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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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embedded hardware platforms Discover C++ and Python libraries for GPU acceleration Book DescriptionComputer vision has been revolutionizing a wide;
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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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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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Explore GPU-enabled programmable environment for machine learning, scientific applications, and gaming using PuCUDA, PyOpenGL, and Anaconda;
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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 programming in MATLAB is intended for scientists, engineers, or students who develop or maintain applications in MATLAB and would;
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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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Wolfgang Engel's GPU Pro 360 Guide to GPGPU gathers all the cutting-edge information from his previous seven GPU Pro volumes into a;
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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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Wolfgang Engel's GPU Pro 360 Guide to GPGPU gathers all the cutting-edge information from his previous seven GPU Pro volumes into a;
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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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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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Modeling Income Determinants In Embedded Economies Cross-Section Applications To U.S. Native American Conomies;
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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 Parallel Program Development using CUDA teaches GPU programming by showing the differences among different families of GPUs. This;
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Wolfgang Engel's GPU Pro 360 Guide to Mobile Devices gathers all the cutting-edge information from his previous seven GPU Pro volumes into;
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Wolfgang Engel's GPU Pro 360 Guide to Lighting gathers all the cutting-edge information from his previous seven GPU Pro volumes into a;
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Die auf aktuellen Grafikkarten verfugbare Rechenleistung in Verbindung mit deren freiprogrammierbarer Graphic Processing Unit (GPU) fuhrt;
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Wolfgang Engel's GPU Pro 360 Guide to Rendering gathers all the cutting-edge information from his previous seven GPU Pro volumes into a;
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Wolfgang Engel's GPU Pro 360 Guide to Rendering gathers all the cutting-edge information from his previous seven GPU Pro volumes into a;
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Wolfgang Engel's GPU Pro 360 Guide to 3D Engine Design gathers all the cutting-edge information from his previous seven GPU Pro volumes;
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