| 书目名称 | High Performance Computing in Clouds | | 副标题 | Moving HPC Applicati | | 编辑 | Edson Borin,Lúcia Maria A. Drummond,Philippe Olivi | | 视频video | | | 概述 | Straight and easy-to-read explanation about the process of running and managing HPC applications in clouds.Up to date information concerning methods and techniques able to rise performance of HPC appl | | 图书封面 |  | | 描述 | .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 deploying HPC applications and infrastructures, designing cloud-friendly HPC applications, and optimizing a provisioned cloud infrastructure to run this family of applications. Additionally, this book also describes the best practices to maintain and keep running HPC applications in the cloud by employing fault tolerance techniques and avoiding resource wastage. .To give practical meaning to topics covered in this book, it brings some case studies where HPC applications, used in relevant scientific areas like Bioinformatics and Oil and Gas industry were moved to the cloud. Moreover, it also discusses how to train deep learning models in the cloud elucidating the key components andaspects necessary to train these models via different types of services offered by cloud providers..Despite the vast bibliography about cloud computing and HPC, to the best of our knowledge, no existing manuscript | | 出版日期 | Book 2023 | | 关键词 | High Performance Computing; Cloud Computing; Bioinformatics; Parallel and Distributed Computing; Deep Le | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-29769-4 | | isbn_softcover | 978-3-031-29771-7 | | isbn_ebook | 978-3-031-29769-4 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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发表于 2025-3-21 17:37:45
