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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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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;
Vergelijkbare producten zoals Fundamentals of Multicore Software Development
demonstrate immediate speedups. The book also helps users get the most from the latest NVIDIA and AMD GPU plus multicore CPU architectures (and soon;
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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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, simulations of atomic scale systems, tools and environments for accelerator based computational biomedicine, GPU computing, high performance computing;
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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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the development of GPU programming -- fundamentals in an easy-to-follow format, and teaches readers how to think in parallel and implement;
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This book provides a set of practical processes and techniques used for multicore software development. It is written with a focus on;
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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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Introducing each concept by first describing the problem and building intuition that leads to the need for the concept Did you know? boxes;
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each concept by first describing the problem and building intuition that leads to the need for the concept Did you know? boxes that present;
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discusses many concepts of general purpose GPU (GPGPU) programming and presents practical examples in game programming and scientific programming;
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of general purpose GPU (GPGPU) programming and presents practical examples in game programming and scientific programming. The author first;
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the Design of Computer, Communication and Software Systems, SFM 2015, held in Bertinoro, Italy, in June 2015. SFM 2015 was devoted to;
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, gaming, environmental science, and green computing. It covers new tools and frameworks for productive GPU computing application development and;
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operation. Part II of the book introduces GPU massive parallelism. The same programs are parallelized on multiple Nvidia GPU platforms and the same;
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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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core and memory operation. Part II of the book introduces GPU massive parallelism. The same programs are parallelized on multiple Nvidia;
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This book constitutes the refereed proceedings of the International Conference on Multiscore Software Engineering, Performance, and Tools;
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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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This Expert Guide gives you the techniques and technologies in embedded multicore to optimally design and implement your embedded;
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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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High Performance Parallelism Pearls shows how to leverage parallelism on processors and coprocessors with the same programming;
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