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Full Description
High Performance Parallelism Pearls Volume 2 offers another set of examples that demonstrate how to leverage parallelism. Similar to Volume 1, the techniques included here explain how to use 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 biomed, genetics, finance, manufacturing, imaging, and more. 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.
Contents
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
