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Parallel MATLAB for Multicore and Multinode Computers

of implementation. Parallel MATLAB for Multicore and Multinode Computers covers more parallel algorithms and parallel programming models than any other;

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Multicore Simulation of Power System Transients

exploits multicore technology by parallelizing its solution and can result in significant speedups. For completeness, the power system presented;

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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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Computational Mathematics

, parallel MATLAB, and message passing interface (MPI) in the chapter on high-performance computing Updates and adds code and documentation;

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Parallel Programming

area for parallel computing. Rauber and Runger take up these recent developments in processor architecture by giving detailed descriptions;

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GPU Programming in MATLAB

in-depth, comprehensive coverage of GPUs with MATLAB, including the parallel computing toolbox and built-in features for other MATLAB toolboxes

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Fundamentals of Parallel Multicore Architecture

, Fundamentals of Parallel Multicore Architecture provides all the material for a graduate or senior undergraduate course that focuses on the;

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Fundamentals of Parallel Multicore Architecture

, Fundamentals of Parallel Multicore Architecture provides all the material for a graduate or senior undergraduate course that focuses on the;

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Introduction to Parallel Computing

distributed computing, and metrics for evaluating and comparing parallel algorithms, as well as practical issues, including methods of designing and;

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Applied Parallel and Scientific Computing

Conference on Applied Parallel and Scientific Computing, PARA 2010, held in Reykjavik, Iceland, in June 2010. These volumes contain three keynote;

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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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Using MPI

examples. This book offers a thoroughly updated guide to the MPI (Message-Passing Interface) standard library for writing programs for parallel;

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Languages and Compilers for Parallel Computing

This book constitutes the thoroughly refereed post-proceedings of the 23rd International Workshop on Languages and Compilers for Parallel;

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High-Performance Computing on Complex Environments

With recent changes in multicore and general-purpose computing on graphics processing units, the way parallel computers are used and;

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Fast Fourier Transform Algorithms for Parallel Computers

parallel computers. FFT is an efficient implementation of the discrete Fourier transform (DFT), and is widely used for many applications;

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Fast Fourier Transform Algorithms for Parallel Computers

parallel computers. FFT is an efficient implementation of the discrete Fourier transform (DFT), and is widely used for many applications;

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Parallel R

R is a wonderful thing, indeed: in recent years this free, open-source product has become a popular toolkit for statistical analysis and;

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Pro TBB

This open access book is a modern guide for all C++ programmers to learn Threading Building Blocks (TBB). Written by TBB and parallel;

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Scientific Computing with Multicore and Accelerators

transform (FFT) and a parallel list ranking algorithm for the Cell BE. It covers stencil computations, auto-tuning, optimizations of a computational;

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Scientific Computing with Multicore and Accelerators

transform (FFT) and a parallel list ranking algorithm for the Cell BE. It covers stencil computations, auto-tuning, optimizations of a computational;

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Pro TBB

This open access book is a modern guide for all C++ programmers to learn Threading Building Blocks (TBB). Written by TBB and parallel;

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Euro-Par 2020: Parallel Processing

architectures and compilers; data management, analytics and machine learning; cluster, cloud and edge computing; theory and algorithms for parallel and;

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Euro-Par 2016: Parallel Processing

, Interfaces, Languages; Multicore and Manycore Parallelism; Theory and Algorithms for Parallel Computation and Networking; Parallel Numerical Methods;

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Task Scheduling for Multi-core and Parallel Architectures

-of-the-art task-scheduling techniques that are optimized for different architectures, and which can be directly applied in real parallel systems;

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Euro-Par 2017: Parallel Processing

distributed programming, interfaces and languages; multicore and manycore parallelism; theory and algorithms for parallel computation and networking;

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