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James Jeffers - High Performance Parallelism Pearls Volume One

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James Jeffers High Performance Parallelism Pearls Volume One

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High Performance Parallelism Pearls shows how to leverage parallelism on processors and coprocessors with the same programming - illustrating the most effective ways to better tap the computational potential of systems with Intel Xeon Phi coprocessors and Intel Xeon processors or other multicore processors. The book includes examples of successful programming efforts, drawn from across industries and domains such as chemistry, engineering, and environmental science. Each chapter in this edited work includes detailed explanations of the programming techniques used, while showing high performance results on both Intel Xeon Phi coprocessors and multicore processors. Learn from dozens of new examples and case studies illustrating success stories demonstrating not just the features of these powerful systems, but also how to leverage parallelism across these heterogeneous systems. Promotes consistent standards-based programming, showing in detail how to code for high performance on multicore processors and Intel Xeon Phi Examples from multiple vertical domains illustrating parallel optimizations to modernize real-world codes Source code available for download to facilitate further exploration. Read more...
Abstract: High Performance Parallelism Pearls shows how to leverage parallelism on processors and coprocessors with the same programming - illustrating the most effective ways to better tap the computational potential of systems with Intel Xeon Phi coprocessors and Intel Xeon processors or other multicore processors. The book includes examples of successful programming efforts, drawn from across industries and domains such as chemistry, engineering, and environmental science. Each chapter in this edited work includes detailed explanations of the programming techniques used, while showing high performance results on both Intel Xeon Phi coprocessors and multicore processors. Learn from dozens of new examples and case studies illustrating success stories demonstrating not just the features of these powerful systems, but also how to leverage parallelism across these heterogeneous systems. Promotes consistent standards-based programming, showing in detail how to code for high performance on multicore processors and Intel Xeon Phi Examples from multiple vertical domains illustrating parallel optimizations to modernize real-world codes Source code available for download to facilitate further exploration

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Table of Contents
List of tables
  1. Tables in Chapter 8
  2. Tables in Chapter 26
List of figures
  1. Figures in Chapter 2
  2. Figures in Chapter 3
  3. Figures in Chapter 4
  4. Figures in Chapter 5
  5. Figures in Chapter 6
  6. Figures in Chapter 7
  7. Figures in Chapter 8
  8. Figures in Chapter 9
  9. Figures in Chapter 10
  10. Figures in Chapter 11
  11. Figures in Chapter 12
  12. Figures in Chapter 13
  13. Figures in Chapter 14
  14. Figures in Chapter 15
  15. Figures in Chapter 17
  16. Figures in Chapter 18
  17. Figures in Chapter 19
  18. Figures in Chapter 20
  19. Figures in Chapter 21
  20. Figures in Chapter 22
  21. Figures in Chapter 23
  22. Figures in Chapter 24
  23. Figures in Chapter 25
  24. Figures in Chapter 26
  25. Figures in Chapter 27
  26. Figures in Chapter 28
Landmarks
Page numbers
High Performance Parallelism Pearls Multicore and Many-core Programming - photo 1
High Performance Parallelism Pearls
Multicore and Many-core Programming Approaches

First Edition

James Reinders

Jim Jeffers

Intel Corporation, United States

Copyright Acquiring Editor Todd Green Editorial Project Manager Lindsay - photo 2

Copyright

Acquiring Editor: Todd Green

Editorial Project Manager: Lindsay Lawrence

Project Manager: Priya Kumaraguruparan

Designer: Maria Ins Cruz

Cover Photo of: Stampede Supercomputer, courtesy of Texas Advanced Computing Center, Sean Cunningham .

Morgan Kaufmann is an imprint of Elsevier

225 Wyman Street, Waltham, MA, 02451, USA

Copyright 2015 Elsevier Inc. All rights reserved.

Except as follows:

Intel Corporation retains the copyright to their original software programming codes used in this Work.

Chapter 5: Jim Dempsey retains the copyright to the original software programming codes used in this chapter

Chapter 26: Copyright 2015 Elsevier Inc. All rights reserved. UT-Battelle, LLC, Contract no. DE-AC05-00OR22725

No part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying, recording, or any information storage and retrieval system, without permission in writing from the publisher. Details on how to seek permission, further information about the Publishers permissions policies and our arrangements with organizations such as the Copyright Clearance Center and the Copyright Licensing Agency, can be found at our website: www.elsevier.com/permissions.

This book and the individual contributions contained in it are protected under copyright by the Publisher (other than as may be noted herein).

Notices

Knowledge and best practice in this field are constantly changing. As new research and experience broaden our understanding, changes in research methods, professional practices, or medical treatment may become necessary.

Practitioners and researchers must always rely on their own experience and knowledge in evaluating and using any information, methods, compounds, or experiments described herein. In using such information or methods they should be mindful of their own safety and the safety of others, including parties for whom they have a professional responsibility.

To the fullest extent of the law, neither the Publisher nor the authors, contributors, or editors, assume any liability for any injury and/or damage to persons or property as a matter of products liability, negligence or otherwise, or from any use or operation of any methods, products, instructions, or ideas contained in the material herein.

Library of Congress Cataloging-in-Publication Data

A catalogue record for this book is available from the Library of Congress.

British Library Cataloguing-in-Publication Data

A catalogue record for this book is available from the British Library.

For information on all Morgan Kaufmann publications visit our website at http://store.elsevier.com/

ISBN: 978-0-12-802118-7

Contributors Mustafa AbdulJabbar King Abdullah University of Science and - photo 3

Contributors

Mustafa AbdulJabbar King Abdullah University of Science and Technology, Saudi Arabia

Mustafa is a PhD candidate in the Extreme Computing Research Center at KAUST - photo 4
Mustafa is a PhD candidate in the Extreme Computing Research Center at KAUST. He works on optimization of high-scale algorithms such as FMM and is interested in closing the gap between RMI-based execution models and real applications in molecular dynamics and fluid mechanics.

Jefferson Amstutz SURVICE Engineering Company, USA

Jefferson is a Software Engineer in the Applied Technology Operation of - photo 5
Jefferson is a Software Engineer in the Applied Technology Operation of SURVICE. He explores interactive visualization and high-performance computing in support of applications for the Army Research Laboratory; he works to solve a variety of physics-based simulation problems in domains such as ballistic vulnerability analysis, radio frequency propagation, and soft-body simulation.

Cdric Andreolli Intel Corporation, France

Cdric is an application engineer in the Energy team at Intel Corporation He - photo 6
Cdric is an application engineer in the Energy team at Intel Corporation. He helps optimize applications running on Intel platforms for the Oil and Gas industry.

Edoardo Apr Pacific Northwest National Laboratory, USA

Edoardo is a Chief Scientist at the Environmental Molecular Sciences Laboratory - photo 7
Edoardo is a Chief Scientist at the Environmental Molecular Sciences Laboratory within PNNL. His research focus is on high-performance computational algorithm and software development especially for chemical applications. He is the main developer of the molecular density functional theory (DFT) module in the NWChem package.

Nikita Astafiev Intel Corporation, Russia

Nikita is a senior software engineer in the Numerics team at Intel He works on - photo 8
Nikita is a senior software engineer in the Numerics team at Intel. He works on highly optimized math functions. His key areas of interest include automated floating-point error analysis and low-level optimizations.

Troy Baer National Institute for Computational Sciences, The University of Tennessee and Oak Ridge National Laboratory, USA

Troy leads the HPC systems team for the NICS Systems and Operations group He - photo 9
Troy leads the HPC systems team for the NICS Systems and Operations group. He has been involved large system deployments including Beacon, Nautilus, and Kraken. In April 2014, Troy received the Adaptive Computing Lifetime Achievement award for contributions in scheduling and resource management using Moab.

Carsten Benthin Intel Corporation, Germany

Carsten is a Graphics Research Scientist at Intel Corporation His research - photo 10

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