Performance Computing: Modern Systems and Practices is a fully comprehensive and easily accessible treatment of high performance computing, covering fundamental concepts and essential knowledge while also providing key skills training. With this book, students will begin their careers with an understanding of possible directions for future research and development in HPC, domain scientists will learn how to use supercomputers as a key tool in their quest for new knowledge, and practicing engineers will discover how supercomputers can employ HPC systems and methods to the design and simulation of innovative products. This new edition has been fully updated, and has been reorganized and restructured to improve accessibility for undergraduate students while also adding trending content such as machine learning and a new chapter on CUDA.

Table of Contents:

1. Introduction 2. HPC Architecture 3. Commodity Clusters 4. Benchmarking 5. The Essential Moab 6. SMP 7. The Essential OpenMP 8. The Essential MPI 9. Parallel Algorithms 10. Libraries 11. Operating Systems 12. Scientific Visualization 13. Performance Monitoring 14. Debugging 15. Accelerators 16. Essential OpenACC 17. Mass Storage 18. File Systems 19. Map Reduce 20. Checkpointing 21. Beyond (Next Steps) Appendices: Essential C Linux?User Interface