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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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Fundamentals of Multicore Software Development

With multicore processors now in every computer, server, and embedded device, the need for cost-effective, reliable parallel software has;

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Fundamentals of Multicore Software Development

With multicore processors now in every computer, server, and embedded device, the need for cost-effective, reliable parallel software has;

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Parallel Programming with OpenACC

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

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

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Applied Parallel and Scientific Computing

, simulations of atomic scale systems, tools and environments for accelerator based computational biomedicine, GPU computing, high performance computing;

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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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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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Multicore Software Development Techniques

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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Heterogeneous Computing Architectures

orchestration to real-time and security requirements. The transitions from multicore processors, GPU computing, and Cloud computing are not separate;

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Fundamentals of Parallel Multicore Architecture

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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Fundamentals of Parallel Multicore Architecture

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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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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Formal Methods for Multicore Programming

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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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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Introduction to Cuda and Gpu Programming

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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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 Parallel Program Development Using CUDA

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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Multicore Software Engineering, Performance and Tools

This book constitutes the refereed proceedings of the International Conference on Multiscore Software Engineering, Performance, and Tools;

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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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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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Real World Multicore Embedded Systems

This Expert Guide gives you the techniques and technologies in embedded multicore to optimally design and implement your embedded;

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GPU PRO 3

GPU Pro3, the third volume in the GPU Pro book series, offers practical tips and techniques for creating real-time graphics that are useful;

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Data Parallel C++

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 Volume One

High Performance Parallelism Pearls shows how to leverage parallelism on processors and coprocessors with the same programming;

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