High Performance Computing in Clouds Moving HPC Applications to a Scalable and Cost-Effective Environment /

This book brings a thorough explanation on the path needed to use cloud computing technologies to run High-Performance Computing (HPC) applications. Besides presenting the motivation behind moving HPC applications to the cloud, it covers both essential and advanced issues on this topic such as deplo...

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Соавтор: SpringerLink (Online service)
Другие авторы: Borin, Edson (Редактор), Drummond, Lúcia Maria A. (Редактор), Gaudiot, Jean-Luc (Редактор), Melo, Alba (Редактор), Melo Alves, Maicon (Редактор), Navaux, Philippe Olivier Alexandre (Редактор)
Формат: Электронный ресурс eКнига
Язык:английский
Опубликовано: Cham : Springer International Publishing : Imprint: Springer, 2023.
Редактирование:1st ed. 2023.
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Online-ссылка:https://doi.org/10.1007/978-3-031-29769-4
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Оглавление:
  • Chapter. 1. Why move HPC applications to the Cloud?
  • Part. I. Foundations
  • Chapter. 2. What is Cloud Computing?
  • Chapter. 3. What do HPC applications look like?
  • Part. II. Running HPC Applications in Cloud
  • Chapter. 4. Deploying and Configuring Infrastructure
  • Chapter. 5. Executing Traditional HPC Application Code in Cloud with Containerized Job Schedulers
  • Chapter. 6. Designing Cloud-friendly HPC Applications
  • Chapter. 7. Exploiting Hardware Accelerators in Clouds
  • Part III. Cost and Performance Optimizations
  • Chapter. 8. Optimizing Infrastructure for MPI Applications
  • Chapter. 9. Harnessing Low-Cost Virtual Machines on the Spot
  • Chapter. 10. Ensuring Application Continuity with Fault Tolerance Techniques
  • Chapter. 11. Avoiding Resource Wastage
  • Part. IV. Application Study Cases
  • Chapter. 12. Biological Sequence Comparison on Cloud-based GPU Environment
  • Chapter. 13. Oil & Gas Reservoir Simulation in the Cloud
  • Chapter. 14. Cost effective deep learning on the cloud
  • Appendix A. Deploying an HPC cluster on AWS
  • Appendix B. Configuring a cloud-deployed HPC cluster.