This book 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 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 prepare you better for Intel Xeon Phi processors. * A practical guide to the essentials for programming Intel Xeon Phi processors* Definitive coverage of the Knights Landing architecture* Presents best practices for portable, high-performance computing and a familiar and proven threads and vectors programming model* Includes real world code examples that highlight usages of the unique aspects of this new highly parallel and high-performance computational product* Covers use of MCDRAM, AVX-512, Intel Omni-Path fabric, many-cores (up to 72), and many threads (4 per core)* Covers software developer tools, libraries and programming models* Covers using Knights Landing as a processor and a coprocessor
Show moreThis book 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 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 prepare you better for Intel Xeon Phi processors. * A practical guide to the essentials for programming Intel Xeon Phi processors* Definitive coverage of the Knights Landing architecture* Presents best practices for portable, high-performance computing and a familiar and proven threads and vectors programming model* Includes real world code examples that highlight usages of the unique aspects of this new highly parallel and high-performance computational product* Covers use of MCDRAM, AVX-512, Intel Omni-Path fabric, many-cores (up to 72), and many threads (4 per core)* Covers software developer tools, libraries and programming models* Covers using Knights Landing as a processor and a coprocessor
Show moreLearn how to get the most out of Knights Landing, the Second Generation Intel Xeon Phi product family
Section I: Knights Landing1. Introduction2. Knights Landing
overview3. Programming MCDRAM and Cluster modes4. Knights Landing
architecture5. Intel Omni-Path Fabric6. μarch 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
Jim Jeffers was the primary strategic planner and one of the first full-time employees on the program that became Intel ® MIC. He served as lead SW Engineering Manager on the program and formed and launched the SW development team. As the program evolved, he became the workloads (applications) and SW performance team manager. He has some of the deepest insight into the market, architecture and programming usages of the MIC product line. He has been a developer and development manager for embedded and high performance systems for close to 30 years. James Reinders is a senior engineer who joined Intel Corporation in 1989 and has contributed to projects including the world’s first TeraFLOP supercomputer (ASCI Red), as well as compilers and architecture work for a number of Intel processors and parallel systems. James has been a driver behind the development of Intel as a major provider of software development products, and serves as their chief software evangelist. James has published numerous articles, contributed to several books and is widely interviewed on parallelism. James has managed software development groups, customer service and consulting teams, business development and marketing teams. James is sought after to keynote on parallel programming, and is the author/co-author of three books currently in print including Structured Parallel Programming, published by Morgan Kaufmann in 2012. Avinash Sodani is the chief architect of the Knights Landing Xeon Phi Processor. He has many years of experience architecting high end processors and previously was one of the architects for the first Core(tm) processor codenamed Nehalem.
"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
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