Introduction to High Performance Computing for Scientists and Engineers 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

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Georg Hager 作者

CRC Press

译者

2010-7-2 出版日期

356 页数

540.00 价格

丛书系列

9781439811924 图书编码

Introduction to High Performance Computing for Scientists and Engineers 在线电子书图书标签: 并行计算 HPC HIGHperformance 计算机编程科学计算机科学并发

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发表于2024-11-26

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A very good introduction to the fields of HPC, parallel programming.

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教材，当参考书查

评分☆☆☆☆☆

A very good introduction to the fields of HPC, parallel programming.

评分☆☆☆☆☆

A very good introduction to the fields of HPC, parallel programming.

评分☆☆☆☆☆

教材，当参考书查

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Written by high performance computing (HPC) experts, Introduction to High Performance Computing for Scientists and Engineers provides a solid introduction to current mainstream computer architecture, dominant parallel programming models, and useful optimization strategies for scientific HPC. From working in a scientific computing center, the authors gained a unique perspective on the requirements and attitudes of users as well as manufacturers of parallel computers.

The text first introduces the architecture of modern cache-based microprocessors and discusses their inherent performance limitations, before describing general optimization strategies for serial code on cache-based architectures. It next covers shared- and distributed-memory parallel computer architectures and the most relevant network topologies. After discussing parallel computing on a theoretical level, the authors show how to avoid or ameliorate typical performance problems connected with OpenMP. They then present cache-coherent nonuniform memory access (ccNUMA) optimization techniques, examine distributed-memory parallel programming with message passing interface (MPI), and explain how to write efficient MPI code. The final chapter focuses on hybrid programming with MPI and OpenMP.

Users of high performance computers often have no idea what factors limit time to solution and whether it makes sense to think about optimization at all. This book facilitates an intuitive understanding of performance limitations without relying on heavy computer science knowledge. It also prepares readers for studying more advanced literature.

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