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High Performance Parallelism Pearls : Multicore and Many-core Programming Approaches

Author: James Reinders; Jim Jeffers, (Computer engineer)
Publisher: Waltham, MA : Morgan Kaufman, [2015] ©2015.
Edition/Format:   eBook : Document : English : First editionView all editions and formats
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Genre/Form: Electronic books
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: James Reinders; Jim Jeffers, (Computer engineer)
ISBN: 9780128021996 0128021993 0128021187 9780128021187 9780128038901 012803890X 0128038195 9780128038192
OCLC Number: 898036682
Description: 1 online resource (1 volume) : illustrations.
Contents: IntroductionTowards an efficient Godunov's scheme on PhiBetter Concurrency and SIMD on HBMCase Study: Analyzing and Optimizing ConcurrencyPlesiochronous Phasing BarriersParallel Evaluation of Fault Tree ExpressionsDeep-learning and Numerical OptimizationOptimizing Gather/Scatter PatternsA many core implementation of the direct N-body problemN-body Methods on Intel (R) Xeon Phi (TM) CoprocessorsDynamic Load Balancing using OpenMP 4.0Concurrent Kernel OffloadingHeterogeneous Computing with MPIPower Analysis on the Intel (R) Xeon Phi (TM) CoprocessorIntegrating Intel Xeon Phis into a ClusterNative File systemsNWChem: Quantum Chemistry Simulations at ScaleEfficient nested parallelism on large scale systemPerformance optimization of Black-Scholes pricingHost and Coprocessor Data Transfer through the COIHigh Performance Ray Tracing with EmbreePortable and Perform with OpenCLCharacterization and Auto-tuning of 3DFD.Profiling-guided optimization of cache performanceHeterogeneous MPI optimization with ITACScalable Out-of-core Solvers on a ClusterSparse matrix-vector multiplication: parallelization and vectorizationMorton Order Improves Performance
Responsibility: James Reinders, Jim Jeffers, Intel Corporation, United States.

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"This book will make it much easier in general to exploit high levels of parallelism including programming optimally for the Intel Xeon Phi products. The common programming methodology between the Read more...

 
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