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High Performance Computing. Modern Systems and Practices. Edition No. 2

  • Book

  • December 2024
  • Elsevier Science and Technology
  • ID: 5947760

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

Authors

Thomas Sterling Indiana University Bloomington, USA. Thomas Sterling is Professor of Informatics and Computing at Indiana University. He serves as the Executive Associate Director of the Center for Research in Extreme Scale Technologies (CREST) and as its Chief Scientist. He is most widely known for his pioneering work in commodity cluster computing as leader of the Beowulf Project for which he and colleagues were awarded the Gordon Bell Prize. Professor Sterling currently leads a team of researchers at IU to enable a new generation of extreme scale computing systems and applications. He is the co-author of six books and holds six patents. He has taught a graduate level course upon which this textbook will be heavily informed, five times. Maciej Brodowicz Indiana University Bloomington, USA. Maciej Brodowicz is Advanced Parallel Computing Engineer at the Center for Research in Extreme Scale Technologies (CREST) at Indiana University. Matthew Anderson Department of English, University of New England, Maine, USA. Matthew Anderson works in the Department of English at the University of New England, Maine, USA.