Contemporary High Performance Computing: From Petascale toward Exascale

Jeffrey S. Vetter

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April 23, 2013 by Chapman and Hall/CRC
Professional - 730 Pages - 320 B/W Illustrations
ISBN 9781466568341 - CAT# K16383
Series: Chapman & Hall/CRC Computational Science

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Features

  • Explores many prominent international supercomputing systems, including Sequoia, Mira, Tsubame 2.0, JUGENE, Tianhe-1A, Titan, and Pleiades
  • Discusses each system’s hardware and software architectures, such as the Cray XK7 and Blue Gene/Q
  • Covers the facilities for each system, including power and cooling
  • Describes application workloads for each site
  • Presents historical and projected trends in technology and applications, such as the "greening" of supercomputing

Summary

Contemporary High Performance Computing: From Petascale toward Exascale focuses on the ecosystems surrounding the world’s leading centers for high performance computing (HPC). It covers many of the important factors involved in each ecosystem: computer architectures, software, applications, facilities, and sponsors.

The first part of the book examines significant trends in HPC systems, including computer architectures, applications, performance, and software. It discusses the growth from terascale to petascale computing and the influence of the TOP500 and Green500 lists. The second part of the book provides a comprehensive overview of 18 HPC ecosystems from around the world. Each chapter in this section describes programmatic motivation for HPC and their important applications; a flagship HPC system overview covering computer architecture, system software, programming systems, storage, visualization, and analytics support; and an overview of their data center/facility. The last part of the book addresses the role of clouds and grids in HPC, including chapters on the Magellan, FutureGrid, and LLGrid projects.

With contributions from top researchers directly involved in designing, deploying, and using these supercomputing systems, this book captures a global picture of the state of the art in HPC.