High Performance Computing Programming and Applications


High Performance Computing: Programming and Applications (Chapman & Hall/CRC Computational Science)
Authors: John Levesque – Gene Wagenbreth
ISBN-10: 1420077058
ISBN-13: 9781420077056
Edition 版次: 1
Publication Date 出版日期: 2010-12-14
Print Length 页数: 244 pages


Book Description
By finelybook

High Performance Computing: Programming and Applications presents techniques that address new performance issues in the programming of high performance computing (HPC) applications. Omitting tedious details,the book discusses hardware architecture concepts and programming techniques that are the most pertinent to application developers for achieving high performance. Even though the text concentrates on C and Fortran,the techniques described can be applied to other languages,such as C++ and Java.
Drawing on their experience with chips from AMD and systems,interconnects,and software from Cray Inc.,the authors explore the problems that create bottlenecks in attaining good performance. They cover techniques that pertain to each of the three levels of parallelism:
Message passing between the nodes
Shared memory parallelism on the nodes or the multiple instruction,multiple data (MIMD) units on the accelerator
Vectorization on the inner level
After discussing architectural and software challenges,the book outlines a strategy for porting and optimizing an existing application to a large massively parallel processor (MPP) system. With a look toward the future,it also introduces the use of general purpose graphics processing units (GPGPUs) for carrying out HPC computations. A companion website at hybridmulticoreoptimization.com contains all the examples from the book,along with updated timing results on the latest released processors.
Contents
Introduction
Chapter 1: Multicore Architectures
Chapter 2: The MPP: A Combination of Hardware and Software
Chapter 3: How Compilers Optimize Programs
Chapter 4: Parallel Programming Paradigms
Chapter 5: A Strategy for Porting an Applicationto a large MPP System
Chapter 6: Single Core Optimization
Chapter 7: Parallelism across the Nodes
Chapter 8: Node Performance
Chapter 9: Accelerators and Conclusion
Appendix A: Common Compiler Directives
Appendix B: Sample Mpi Environment Variables
References

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