Intel Xeon Phi Coprocessor High Performance Programming
By- James Jeffers, MIC Architecture Specialist, Intel
- James Reinders, Director, Chief Evangelist, Intel Software, Intel Corporation
Authors Jim Jeffers and James Reinders spent two years helping educate customers about the prototype and pre-production hardware before Intel introduced the first Intel Xeon Phi coprocessor. They have distilled their own experiences coupled with insights from many expert customers, Intel Field Engineers, Application Engineers and Technical Consulting Engineers, to create this authoritative first book on the essentials of programming for this new architecture and these new products.
This book is useful even before you ever touch a system with an Intel Xeon Phi coprocessor. To ensure that your applications run at maximum efficiency, the authors emphasize key techniques for programming any modern parallel computing system whether based on Intel Xeon processors, Intel Xeon Phi coprocessors, or other high performance microprocessors. Applying these techniques will generally increase your program performance on any system, and better prepare you for Intel Xeon Phi coprocessors and the Intel MIC architecture.
Audience
Software engineers, High Performance and Super Computing developers, scientific researchers in need of high-performance computing resources
Paperback, 450 Pages
Published: February 2013
Imprint: Morgan Kaufmann
ISBN: 978-0-12-410414-3
Reviews
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This book belongs on the bookshelf of every HPC professional. Not only does it successfully and accessibly teach us how to use and obtain high performance on the Intel MIC architecture, it is about much more than that. It takes us back to the universal fundamentals of high-performance computing including how to think and reason about the performance of algorithms mapped to modern architectures, and it puts into your hands powerful tools that will be useful for years to come. -Robert J. Harrison, Institute for Advanced Computational Science, Stony Brook University, from the Foreword
Contents
1. Introduction
2. High Performance examples
3. Benchmarking Apps
4. Real-world Situations
5. Lots of Data (Vectors)
6. Lots of Tasks (not Threads)
7. Processing Parallelism
8. Coprocessor Architecture
9. Coprocessor System Software
10. Linux on the Coprocessor
11. Math Library
12. MPI
13. Profiling
14. Summary

