Intel Xeon Phi processor high performance programming

著者

書誌事項

Intel Xeon Phi processor high performance programming

by Jim Jeffers, James Reinders, Avinash Sodani

Elsevier, c2016

Knights landing ed

大学図書館所蔵 件 / 6

この図書・雑誌をさがす

注記

Includes index

内容説明・目次

内容説明

Intel Xeon Phi Processor High Performance Programming is an all-in-one source of information for programming the Second-Generation Intel Xeon Phi product family also called Knights Landing. The authors provide detailed and timely Knights Landingspecific details, programming advice, and real-world examples. The authors distill their years of Xeon Phi programming experience coupled with insights from many expert customers - Intel Field Engineers, Application Engineers, and Technical Consulting Engineers - to create this authoritative book on the essentials of programming for Intel Xeon Phi products. Intel (R) Xeon Phi (TM) Processor High-Performance Programming is useful even before you ever program a system with an Intel Xeon Phi processor. To help 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 processors, or other high-performance microprocessors. Applying these techniques will generally increase your program performance on any system and prepare you better for Intel Xeon Phi processors.

目次

Section I: Knights Landing 1. Introduction 2. Knights Landing overview 3. Programming MCDRAM and Cluster modes 4. Knights Landing architecture 5. Intel Omni-Path Fabric 6. arch optimization advice Section II: Parallel Programming 7. Programming overview for Knights Landing 8. Tasks and threads 9. Vectorization 10. Vectorization advisor 11. Vectorization with SDLT 12. Vectorization with AVX-512 intrinsics 13. Performance libraries 14. Profiling and timing 15. MPI 16. PGAS programming models 17. Software-defined visualization 18. Offload to Knights Landing 19. Power analysis Section III: Pearls 20. Optimizing classical molecular dynamics in LAMMPS 21. High performance seismic simulations 22. Weather research and forecasting (WRF) 23. N-Body simulation 24. Machine learning 25. Trinity workloads 26. Quantum chromodynamics

「Nielsen BookData」 より

詳細情報

ページトップへ