Buch, Englisch, 662 Seiten, Format (B × H): 189 mm x 233 mm, Gewicht: 1364 g
Knights Landing Edition
Buch, Englisch, 662 Seiten, Format (B × H): 189 mm x 233 mm, Gewicht: 1364 g
ISBN: 978-0-12-809194-4
Verlag: Elsevier Science & Technology
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 theessentials of programming for Intel Xeon Phi products.
Intel® Xeon PhiT 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 prepareyou better for Intel Xeon Phi processors.
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Section I: Knights Landing1. Introduction2. Knights Landing overview3. Programming MCDRAM and Cluster modes4. Knights Landing architecture5. Intel Omni-Path Fabric6. ?arch optimization advice
Section II: Parallel Programming7. Programming overview for Knights Landing8. Tasks and threads9. Vectorization10. Vectorization advisor11. Vectorization with SDLT12. Vectorization with AVX-512 intrinsics13. Performance libraries14. Profiling and timing15. MPI16. PGAS programming models17. Software-defined visualization18. Offload to Knights Landing19. Power analysis
Section III: Pearls20. Optimizing classical molecular dynamics in LAMMPS21. High performance seismic simulations22. Weather research and forecasting (WRF)23. N-Body simulation24. Machine learning25. Trinity workloads26. Quantum chromodynamics