Optimizing HPC Applications with Intelยฎ Cluster Tools takes the reader on a tour of the fast-growing area of high performance computing and the optimization of hybrid programs. These programs typically combine distributed memory and shared memory programming models and use the Message Passing Interf
Optimizing HPC Applications with Intel Cluster Tools: Hunting Petaflops
โ Scribed by Dahnken, Christopher; Klemm, Michael; Semin, Andrey; Supalov, Alexander
- Publisher
- Apress, Imprint: Apress
- Year
- 2014
- Tongue
- English
- Leaves
- 291
- Series
- SpringerLink : Buฬcher
- Edition
- 1st ed
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
Optimizing HPC Applications with Intelยฎ Cluster Tools takes the reader on a tour of the fast-growing area of high performance computing and the optimization of hybrid programs. These programs typically combine distributed memory and shared memory programming models and use the Message Passing Interface (MPI) and OpenMP for multi-threading to achieve the ultimate goal of high performance at low power consumption on enterprise-class workstations and compute clusters.
The book focuses on optimization for clusters consisting of the Intelยฎ Xeon processor, but the optimization methodologies also apply to the Intelยฎ Xeon Phiโข coprocessor and heterogeneous clusters mixing both architectures. Besides the tutorial and reference content, the authors address and refute many myths and misconceptions surrounding the topic. The text is augmented and enriched by descriptions of real-life situations.
โฆ Table of Contents
Content: Foreword by Bronis de Supinski, CTO, Livermore Computing, LLNLIntroductionChapter 1: No Time to Read this Book?Chapter 2: Overview of Platform ArchitecturesChapter 3: Top-Down Software OptimizationChapter 4: Addressing System BottlenecksChapter 5: Addressing Application Bottlenecks: Distributed MemoryChapter 6: Addressing Application Bottlenecks: Shared MemoryChapter 7: Addressing Application Bottlenecks: MicroarchitectureChapter 8: Application Design Considerations
โฆ Subjects
Coprozessor.;Gemeinsamer Speicher.
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