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High Performance Computing
The purpose of this book is to teach new programmers and scientists about the basics of High Performance Computing. Too many parallel and high performance computing books focus on the architecture, theory and computer science surrounding HPC. This book speaks to the practicing chemistry student, physicist, or biologist who need to write and run their programs as part of their research.
- Author
- Chuck Severance
- Publisher
- University of Michigan
- Source
- LibreTexts
- License
- CC BY
- Language
- EN
- Category
- Information Technology
Contents· 20 sections
- 01: Introduction
- 1.01: Introduction to High Performance Computing
- 02: Modern Computer Architectures
- 2.01: Memory
- 2.02: Floating-Point Numbers
- 03: Programming and Tuning Software
- 3.01: What a Compiler Does
- 3.02: Timing and Profiling
- 3.03: Eliminating Clutter
- 3.04: Loop Optimizations
- 04: Shared-Memory Parallel Processors
- 4.01: Understanding Parallelism
- 4.02: Shared-Memory Multiprocessors
- 4.03: Programming Shared-Memory Multiprocessors
- 05: Scalable Parallel Processing
- 5.01: Language Support for Performance
- 5.02: Message-Passing Environments
- 06: Appendixes
- 6.01: Appendix C- High Performance Microprocessors
- 6.02: Appendix B- Looking at Assembly Language