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Parallel Computing Using MIL-STD-1553

. In the book, design and implementation of a parallel computing system, which utilizes the MIL-STD-1553 data bus as interconnection mechanism;

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Implementation of Mil-Std-1553 Bus Protocol Using Avr Microcontrollers

To design a wired communication system using MIL-STD- 1553 half-duplex bus protocol having a common multiplexed bus for as many remote;

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Python Parallel Programming Cookbook

Master efficient parallel programming to build powerful applications using Python About This Book * Design and implement efficient;

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Designing and Building Parallel Programs

In this book, Foster builds actual applications programs used to solve real engineering problems in a variety of disciplines while using;

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Data Parallel C++

Book Is ForThose new data-parallel programming and computer programmers interested in data-parallel programming using C++.;

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Structured Parallel Programming

implement maintainable and efficient parallel algorithms using a composable, structured, scalable, and machine-independent approach to parallel;

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Industrial Sensors and Controls in Communication Networks: From Wired Technologies to Cloud Computing and the Internet of Things

). Topics and features: describes the FlexRay, CAN, and Modbus fieldbus protocols for industrial control networks, as well as the MIL-STD-1553;

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Tools for High Performance Computing 2018 / 2019

for numerical simulation and modeling in academic and industrial research. At the same time, using large-scale parallel systems efficiently;

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Parallel Scientific Computing and Optimization

Parallel Scientific Computing and Optimization introduces new developments in the construction, analysis, and implementation of parallel;

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Parallel and Distributed Computing Applications

Parallel and Distributed Computing Applications examines various dimensions of parallel and distributed computing applications along with;

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Elements of Parallel Computing

same problem, using select problems that aren't discussed frequently in parallel computing textbooks. They include the Single Source Shortest;

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Elements of Parallel Computing

chapters is to contrast different solutions to the same problem, using select problems that aren't discussed frequently in parallel computing;

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Parallel Computing

Parallel Computing;

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Parallel Computing for Bioinformatics and Computational Biology

complex bioinformatics applications and larger and richer data sets. As the editor clearly shows, using powerful parallel computing tools can lead;

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Parallel Processing And Applied Mathematics

This two-volume-set (LNCS 7203 and 7204) constitutes the refereed proceedings of the 9th International Conference on Parallel Processing;

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Parallel Processing and Applied Mathematics

This two-volume-set (LNCS 7203 and 7204) constitutes the refereed proceedings of the 9th International Conference on Parallel Processing;

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High Performance Computing

In the last decade, parallel computing technologies have transformed high-performance computing. Two trends have emerged massively parallel;

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Parallel Computing Technologies

This book constitutes the proceedings of the 14th International Conference on Parallel Computing Technologies, PaCT 2017, held in Nizhny;

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Multicore and GPU Programming

for multi-core CPU programming and many-core "massively parallel" computing. Using threads, OpenMP, MPI, CUDA and other state-of-the-art tools;

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Parallel Processing in Computational Mechanics

Introduces mechanical engineers to high-performance computing using the new generation of computers with vector and parallel processing;

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Distributed and Cloud Computing

Distributed and Cloud Computing: From Parallel Processing to the Internet of Things offers complete coverage of modern distributed;

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Programming Massively Parallel Processors

specifically for massively parallel environments. Shows you how to achieve both high-performance and high-reliability using the CUDA;

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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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High-Performance Computing on the Intel (R) Xeon Phi (TM)

then illustrated step-by-step using the classical parallel programming example of matrix multiplication. Finally, Project development;

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Parallel Algorithms in Computational Science and Engineering

also enabling readers to develop new applications using the kernels. Readers will learn how to choose the most suitable parallel algorithms for;

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Modern Fortran in Practice

, graphics and GUIs, and parallel computing using MPI, OpenMP, and coarrays. The author also analyzes several numerical algorithms and their;

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