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. Understand the Benefits of Using GPUs for Many Scientific Applications Designing Scientific Applications on GPUs shows you how to use GPUs for;
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: Architectural Solutions focuses on the architectural topics that improve on performance of GPUs, Part II: System Software discusses OS, compilers;
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tasks with machine learning models on GPUs Extend your knowledge of GPU computing in scientific applications Who this book is forData Scientist;
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Covers the basic scientific principles involved in designing approach of drug delivery systems Focuses on current area of biomedical;
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field and with contributions from a variety of international experts, Scientific Computing with Multicore and Accelerators focuses on the;
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field and with contributions from a variety of international experts, Scientific Computing with Multicore and Accelerators focuses on the;
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Computing Toolbox and other MATLAB toolboxes for GPU computing, which allow applications to be ported straightforwardly onto GPUs without extensive;
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Combinatorial Scientific Computing explores the latest research on creating algorithms and software tools to solve key combinatorial;
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Combinatorial Scientific Computing explores the latest research on creating algorithms and software tools to solve key combinatorial;
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developers who have never worked with GPUs. You'll then move on to exploring OpenCV acceleration with GPUs and CUDA by walking through some practical;
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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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robustness, accuracy, and speed. He then shows how single instruction multiple data (SIMD) extensions work on CPUs since GPUs also use SIMD;
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speed. He then shows how single instruction multiple data (SIMD) extensions work on CPUs since GPUs also use SIMD. The core of the book;
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-tac-toe Train deep networks with hardware including GPUs and tensor processing units;
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the macro/micro scale. It is thus no surprise, that nanotechnology has led to a scientific and technological revolution. This book;
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for utilizing GPUs make MATLAB users hesitate to step into it. Accelerating MATLAB with GPUs offers a primer on bridging this gap.
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Designing Visual Basic.NET Applications is a desktop reference that helps the Visual Basic developer get up to speed on .NET as fast as;
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This historical survey of parallel processing from 1980 to 2020 is a follow-up to the authors' 1981 Tutorial on Parallel Processing, which;
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among ideas and are unprepared to apply scientific thinking and principles outside of checking off answers on standardized tests. Designing;
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of physics, material science and engineering. Mechanical science has applications across various scientific fields. Its systems are used for purposes;
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as C or MATLAB to high-performance embedded architectures consisting of multiple CPUs, GPUs, and reconfigurable hardware (FPGAs).
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Steffen Heinrich describes a motion planning system for automated vehicles. The planning method is universally applicable to on-road;
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Digital Signal Processing 101: Everything You Need to Know to Get Started provides a basic tutorial on digital signal processing (DSP;
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; Fourth International Workshop on GPUs in Databases, GID 2015; First International Workshop on Managing Evolving Business Intelligence Systems;
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, 2013. The scientific sessions were focussed on the definition, implementation and scientific applications of reference frames; gravity field;
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This series contains encyclopaedias based on Discoveries and Inventions, Space, Physics, Chemistry and Experiments. It is specially;
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This series contains encyclopaedias based on Discoveries and Inventions, Space, Physics, Chemistry and Experiments. It is specially;
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