High Performance Parallelism Pearls

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

High Performance Parallelism Pearls 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. 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 PhiT
• Examples from multiple vertical domains illustrating parallel optimizations to modernize real-world codes
• Source code available for download to facilitate further exploration

Table of Contents

Chapter 1 Introduction
Chapter 2 From “Correct” To “Correct & Efficient”: A Hydro2D Case Study With Godunov’S Scheme
Chapter 3 Better Concurrency And Simd On Hbm
Chapter 4 Optimizing For Reacting Navier-Stokes Equations
Chapter 5 Plesiochronous Phasing Barriers
Chapter 6 Parallel Evaluation Of Fault Tree Expressions
Chapter 7 Deep-Learning Numerical Optimization
Chapter 8 Optimizing Gather/Scatter Patterns
Chapter 9 A Many-Core Implementation Of The Direct N-Body Problem
Chapter 10 N-Body Methods
Chapter 11 Dynamic Load Balancing Using Openmp 4.0
Chapter 12 Concurrent Kernel Offloading
Chapter 13 Heterogeneous Computing With Mpi
Chapter 14 Power Analysis On The Intel® Xeon Phi™ Coprocessor
Chapter 15 Integrating Intel Xeon Phi Coprocessors Into A Cluster Environment
Chapter 16 Supporting Cluster File Systems On Intel® Xeon Phi™ Coprocessors
Chapter 17 Nwchem Quantum Chemistry Simulations At Scale
Chapter 18 Efficient Nested Parallelism On Large Scalesystems
Chapter 19 Performance Optimization Of Black-Scholes Pricing
Chapter 20 Data Transfer Using The Intel Coi Library
Chapter 21 High-Performance Ray Tracing
Chapter 22 Portable Performance With Opencl
Chapter 23 Characterization And Optimization Methodology Applied To Stencil Computations
Chapter 24 Profiling-Guided Optimization
Chapter 25 Heterogeneous Mpi Application Optimization With Itac
Chapter 26 Scalable Out-Of-Core Solvers On A Cluster
Chapter 27 Sparse Matrix-Vector Multiplication: Parallelization And Vectorization
Chapter 28 Morton Order Improves Performance