High Performance Parallelism Pearls Volume Two: Multicore and Many-core Programming Approaches
Autor Jim Jeffers, James Reindersen Limba Engleză Paperback – 24 iul 2015
- Promotes write-once, run-anywhere coding, showing how to code for high performance on multicore processors and Xeon Phi
- Examples from multiple vertical domains illustrating real-world use of Xeon Phi coprocessors
- Source code available for download to facilitate further exploration
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Specificații
ISBN-13: 9780128038192
ISBN-10: 0128038195
Pagini: 592
Dimensiuni: 191 x 235 x 29 mm
Greutate: 0.98 kg
Editura: ELSEVIER SCIENCE
ISBN-10: 0128038195
Pagini: 592
Dimensiuni: 191 x 235 x 29 mm
Greutate: 0.98 kg
Editura: ELSEVIER SCIENCE
Cuprins
- Introduction
- Numerical Weather Prediction Optimization
- WRF Goddard Microphysics Scheme Optimization
- Pairwise DNA Sequence Alignment Optimization
- Accelerated Structural Bioinformatics for Drug Discovery
- Amber PME Molecular Dynamics Optimization
- Low-Latency Solutions for Financial Services Applications
- Parallel Numerical Methods in Finance
- Wilson Dslash Kernel from Lattice QCD Optimization
- Cosmic Microwave Background Analysis: Nested Parallelism
- Visual Search Optimization
- Radio Frequency Ray Tracing
- Exploring Use of the Reserved Core
- High Performance Python Offloading
- Fast Matrix Computations on Heterogeneous Streams
- MPI-3 Shared Memory Programming Introduction
- Coarse-Grained OpenMP for Scalable Hybrid Parallelism
- Exploiting Multilevel Parallelism in Quantum Simulations
- OpenCL: There and Back Again
- OpenMP Versus OpenCL: Difference in Performance?
- Prefetch Tuning Optimizations
- SIMD Functions Via OpenMP
- Vectorization Advice
- Portable Explicit Vectorization Intrinsics
- Power Analysis for Applications and Data Centers