High Performance Parallelism Pearls Volume...

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Sprache: Englisch

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Beschreibung

High Performance Parallelism Pearls shows how to leverage parallelism on processors and coprocessors with the same programming - illustrating the most effective ways to combine Xeon Phi coprocessors with Xeon and other multicore processors. The book includes examples of successful programming efforts, drawn from across industries and domains such as chemistry, engineering, and environmental science. Each chapter in this edited work includes detailed explanations of the programming techniques used, while showing high performance results on both Intel Xeon Phi coprocessors and multicore processors. Learn from dozens of new examples and case studies illustrating "success stories" demonstrating not just the features of Xeon-powered systems, but also how to leverage parallelism across these heterogeneous systems.

Über den Autor

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.

Inhaltsverzeichnis

1. Introduction2. Towards an efficient Godunov's scheme on Phi3. Better Concurrency and SIMD on HBM4. Case Study: Analyzing and Optimizing Concurrency5. Plesiochronous Phasing Barriers6. Parallel Evaluation of Fault Tree Expressions7. Deep-learning and Numerical Optimization8. Optimizing Gather/Scatter Patterns9. A many core implementation of the direct N-body problem10. N-body Methods on Intel® Xeon Phi(TM) Coprocessors11. Dynamic Load Balancing using OpenMP 4.012. Concurrent Kernel Offloading13. Heterogeneous Computing with MPI14. Power Analysis on the Intel® Xeon Phi(TM) Coprocessor15. Integrating Intel Xeon Phis into a Cluster16. Native File systems17. NWChem: Quantum Chemistry Simulations at Scale18. Efficient nested parallelism on large scale system19. Performance optimization of Black-Scholes pricing20. Host and Coprocessor Data Transfer through the COI21. High Performance Ray Tracing with Embree22. Portable and Perform with OpenCL23. Characterization and Auto-tuning of 3DFD.24. Profiling-guided optimization of cache performance25. Heterogeneous MPI optimization with ITAC26. Scalable Out-of-core Solvers on a Cluster27. Sparse matrix-vector multiplication: parallelization and vectorization28. Morton Order Improves Performance

Erscheinungsjahr:	2014
Fachbereich:	Programmiersprachen
Genre:	Informatik
Rubrik:	Naturwissenschaften & Technik
Medium:	Taschenbuch
Seiten:	600
ISBN-13:	9780128021187
ISBN-10:	0128021187
Sprache:	Englisch
Einband:	Kartoniert / Broschiert
Autor:	Reinders, James Jeffers, James
Hersteller:	Elsevier Science
Maße:	231 x 184 x 30 mm
Von/Mit:	James Reinders (u. a.)
Erscheinungsdatum:	03.11.2014
Gewicht:	1,126 kg

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