[内容简介]
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 Phi™
- Examples from multiple vertical domains illustrating parallel optimizations to modernize real-world codes
- Source code available for download to facilitate further exploration
[目录]
- Introduction
- Towards an efficient Godunov's scheme on Phi
- Better Concurrency and SIMD on HBM
- Case Study: Analyzing and Optimizing Concurrency
- Plesiochronous Phasing Barriers
- Parallel Evaluation of Fault Tree Expressions
- Deep-learning and Numerical Optimization
- Optimizing Gather/Scatter Patterns
- A many core implementation of the direct N-body problem
- N-body Methods on Intel® Xeon Phi™ Coprocessors
- Dynamic Load Balancing using OpenMP 4.0
- Concurrent Kernel Offloading
- Heterogeneous Computing with MPI
- Power Analysis on the Intel® Xeon Phi™ Coprocessor
- Integrating Intel Xeon Phis into a Cluster
- Native File systems
- NWChem: Quantum Chemistry Simulations at Scale
- Efficient nested parallelism on large scale system
- Performance optimization of Black-Scholes pricing
- Host and Coprocessor Data Transfer through the COI
- High Performance Ray Tracing with Embree
- Portable and Perform with OpenCL
- Characterization and Auto-tuning of 3DFD.
- Profiling-guided optimization of cache performance
- Heterogeneous MPI optimization with ITAC
- Scalable Out-of-core Solvers on a Cluster
- Sparse matrix-vector multiplication: parallelization and vectorization
- Morton Order Improves Performance
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