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GPU Computing and Applications

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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GPU Solutions to Multi-scale Problems in Science and Engineering

is important and easy to use. It will offer a reason why GPU computing is useful and how to implement codes in an everyday situation.;

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GPU Solutions to Multi-scale Problems in Science and Engineering

is important and easy to use. It will offer a reason why GPU computing is useful and how to implement codes in an everyday situation.;

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Hands-On GPU Computing with Python

Explore GPU-enabled programmable environment for machine learning, scientific applications, and gaming using PuCUDA, PyOpenGL, and Anaconda;

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GPU Programming in MATLAB

GPU programming in MATLAB is intended for scientists, engineers, or students who develop or maintain applications in MATLAB and would;

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Professional CUDA C Programming

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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GPU Computing Gems Jade Edition

, gaming, environmental science, and green computing. It covers new tools and frameworks for productive GPU computing application development and;

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Parallel and Distributed Processing Techniques and Applications

, GPU, FPGA Processing and Applications Data-Driven Networking Systems with High Tolerance for Disaster, Fault and Congestion Position and;

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Parallel and Distributed Processing Techniques and Applications

, GPU, FPGA Processing and Applications Data-Driven Networking Systems with High Tolerance for Disaster, Fault and Congestion Position and;

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GPGPU Programming for Games and Science

discusses many concepts of general purpose GPU (GPGPU) programming and presents practical examples in game programming and scientific programming;

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GPGPU Programming for Games and Science

of general purpose GPU (GPGPU) programming and presents practical examples in game programming and scientific programming. The author first;

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GPU-based Parallel Implementation of Swarm Intelligence Algorithms

GPU-based Parallel Implementation of Swarm Intelligence Algorithms combines and covers two emerging areas attracting increased attention;

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Hands-On GPU Programming with Python and CUDA

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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GPU Computing Gems Emerald Edition

scientific research. The first volume in Morgan Kaufmann's Applications of GPU Computing Series, this book offers the latest insights and research;

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Metal Programming Guide

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

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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Essentials of Blockchain Technology

of the CloudGPU/Edge Computing, Artificial Intelligence, cyber physical systems, social networking, crowdsourcing and crowdsensing, 5G, trust;

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Essentials of Blockchain Technology

of the CloudGPU/Edge Computing, Artificial Intelligence, cyber physical systems, social networking, crowdsourcing and crowdsensing, 5G, trust;

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Parallel Processing and Applied Mathematics

The two-volume set LNCS 10777 and 10778 constitutes revised selected papers from the 12th International Conference on Parallel Processing;

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Parallel Processing and Applied Mathematics

The two-volume set LNCS 10777 and 10778 constitutes revised selected papers from the 12th International Conference on Parallel Processing;

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CUDA Fortran for Scientists and Engineers

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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Programming Massively Parallel Processors

programming and GPU architecture. Various techniques for constructing parallel programs are explored in detail. Case studies demonstrate the;

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GPU-assisted Diagnosis and Visualization of Medical Volume Data

The utilization of modern graphics hardware (GPU) for visualization and computation purposes, has become highly relevant in recent years;

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High-Performance Computing on Complex Environments

of Heterogeneous Architectures, Hybrid CPU+GPU, and Distributed Systems; Energy Awareness in High-Performance Computing; and Applications of Heterogeneous;

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High Performance Computing for Computational Science -- VECPAR 2014

and selected of numerous submissions. The papers are organized in topical sections on algorithms for GPU and manycores, large-scale;

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Multicore and GPU Programming

Multicore and GPU Programming: An Integrated Approach, Second Edition offers broad coverage of key parallel computing tools, essential;

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Parallel Processing and Applied Mathematics

The two-volume set LNCS 12043 and 12044 constitutes revised selected papers from the 13th International Conference on Parallel Processing;

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