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High Performance Computing: Programming and Applications

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by John Levesque & Gene Wagenbreth
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High Performance Computing: Programming and Applications by John Levesque & Gene Wagenbreth

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 contains all the examples from the book, along with updated timing results on the latest released processors.

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Ebook Details
Pages: 244
Size: 6.1 MB
Publisher: CRC Press
Date published:   2015
ISBN: 9781420077063 (DRM-PDF)

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This product is listed in the following categories:

Nonfiction > Computers
Nonfiction > Computers > Programming Languages
Nonfiction > Mathematics > Number Systems

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