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Klappentext Intel Xeon Phi Processor High Performance Programming! Knights Landing Edition! Second Edition! is a practical guide to code development for Intel's Xeon Phi coprocessor. To ensure that your applications run at maximum efficiency! the authors emphasize key techniques that are essential to 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 increase your program performance on any system! and better prepare you for the Xeon Phi Knights Landing coprocessor. . The book starts by providing a brief level setting overview of Intel's "Knights Landing¿ including Xeon Phi and Xeon architectures! and then quickly uses simple but informative code examples to explain the unique aspects of the new Knights Landing chipset. It then dives deeper into the meat of the hardware and software architecture that is behind the high performing examples! explaining the tools! development environment! and coding best practices to successfully leverage wide vectors! many cores! many threads! and high bandwidth cache/memory architecture.
List of contents
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. µarch 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
Report
"I believe you will find this book is an invaluable reference to help develop your own Unfair Advantage." - James A. Ang, Ph.D., Manager, Exascale Computing Program, Sandia National Laboratories, New Mexico, USA
