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Parallel and High Performance Computing

Robert Robey and Yuliana Zamora
  • May 2021
  • ISBN 9781617296468
  • 704 pages
  • printed in black & white
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If you want to learn about parallel programming and high-performance computing based on practical and working examples, this book is for you.

Tuan A. Tran, ExxonMobil
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Complex calculations, like training deep learning models or running large-scale simulations, can take an extremely long time. Efficient parallel programming can save hours—or even days—of computing time. Parallel and High Performance Computing shows you how to deliver faster run-times, greater scalability, and increased energy efficiency to your programs by mastering parallel techniques for multicore processor and GPU hardware.

about the technology

Write fast, powerful, energy efficient programs that scale to tackle huge volumes of data. Using parallel programming, your code spreads data processing tasks across multiple CPUs for radically better performance. With a little help, you can create software that maximizes both speed and efficiency.

about the book

Parallel and High Performance Computing offers techniques guaranteed to boost your code’s effectiveness. You’ll learn to evaluate hardware architectures and work with industry standard tools such as OpenMP and MPI. You’ll master the data structures and algorithms best suited for high performance computing and learn techniques that save energy on handheld devices. You’ll even run a massive tsunami simulation across a bank of GPUs.

what's inside

  • Planning a new parallel project
  • Understanding differences in CPU and GPU architecture
  • Addressing underperforming kernels and loops
  • Managing applications with batch scheduling

about the reader

For experienced programmers proficient with a high-performance computing language like C, C++, or Fortran.

about the author

Robert Robey works at Los Alamos National Laboratory and has been active in the field of parallel computing for over 30 years. Yuliana Zamora is currently a PhD student and Siebel Scholar at the University of Chicago, and has lectured on programming modern hardware at numerous national conferences.

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A great survey of recent advances on parallel and multi-processor software techniques.

Albert Choy, OSI Digital Grid Solutions

An in-depth treatise on parallel computing from both a software- and hardware-optimized standpoint.

Jean François Morin, Laval University

This book will show you how to design code that takes advantage of all the computing power modern computers offer.

Alessandro Campeis, Vimar
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