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“High Performance Parallelism Pearls: Multicore and Many-core Programming Approaches” by James Reinders, Jim Jeffers

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"High Performance Parallelism Pearls: Multicore and Many-core Programming Approaches" by James Reinders, Jim Jeffers
Intel Corporation
ElSci | 2015 | ISBN: 0128021993 9780128021996 9780128021187 | 549 pages | PDF | 27 MB
This book shows how to leverage parallelism on processors and coprocessors with the same programming – illustrating the most effective ways to better tap the computational potential of systems with Intel Xeon Phi coprocessors and Intel Xeon processors or other multicore processors.

“High Performance Parallelism Pearls: Multicore and Many-core Programming Approaches” by James Reinders, Jim Jeffers
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 these powerful systems, but also how to leverage parallelism across these heterogeneous systems.

* Promotes consistent standards-based programming, showing in detail how to code for high performance on multicore processors and Intel® Xeon PhiTM
* Examples from multiple vertical domains illustrating parallel optimizations to modernize real-world codes
* Source code available for download to facilitate further exploration

Contents
Contributors
Acknowledgments
Foreword
Preface
1 INTRODUCTION
2 FROM "CORRECT" TO "CORRECT & EFFICIENT": A HYDR02D CASE STUDY WITH GODUNOV'S SCHEME
3 BETTER CONCURRENCY AND SIMD ON HBM
4 OPTIMIZING FOR REACTING NAVIER-STOKES EQUATIONS
5 PLESIOCHRONOUS PHASING BARRIERS
6 PARALLEL EVALUATION OF FAULT TREE EXPRESSIONS
7 DEEP-LEARNING NUMERICAL OPTIMIZATION
8 OPTIMIZING GATHER/SCATTER PATTERNS
9 A MANY-CORE IMPLEMENTATION OF THE DIRECT N-BODY PROBLEM
10 N-BODY METHODS
11 DYNAMIC LOAD BALANCING USING OPENMP 4.0
12 CONCURRENT KERNEL OFFLOADING
13 HETEROGENEOUS COMPUTING WITH MPI
14 POWER ANALYSIS ON THE INTEL® XEON PHI™ COPROCESSOR
15 INTEGRATING INTEL XEON PHI COPROCESSORS INTO A CLUSTER ENVIRONMENT
16 SUPPORTING CLUSTER FILE SYSTEMS ON INTEL® XEON PHI™ COPROCESSORS
17 NWCHEM QUANTUM CHEMISTRY SIMULATIONS AT SCALE
18 EFFICIENT NESTED PARALLELISM ON LARGE SCALESYSTEMS
19 PERFORMANCE OPTIMIZATION OF BLACK-SCHOLES PRICING
20 DATA TRANSFER USING THE INTEL COI LIBRARY
21 HIGH-PERFORMANCE RAY TRACING
22 PORTABLE PERFORMANCE WITH OPENCL
23 CHARACTERIZATION AND OPTIMIZATION METHODOLOGY APPLIED TO STENCIL COMPUTATIONS
24 PROFILING-GUIDED OPTIMIZATION
25 HETEROGENEOUS MPI APPLICATION OPTIMIZATION WITH IT AC
26 SCALABLE OUT-OF-CORE SOLVERS ON A CLUSTER
27 SPARSE MATRIX-VECTOR MULTIPLICATION: PARALLELIZATION AND VECTORIZATION
28 MORTON ORDER IMPROVES PERFORMANCE
Author Index
Subject Index
1st
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