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HPC, Big Data, and AI Convergence Towards Exascale

Challenge and Vision

Jan Martinovič editor Olivier Terzo editor

Format:Paperback

Publisher:Taylor & Francis Ltd

Published:29th Jan '24

Currently unavailable, and unfortunately no date known when it will be back

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HPC, Big Data, and AI Convergence Towards Exascale cover

HPC, Big Data, AI Convergence Towards Exascale provides an updated vision on the most advanced computing, storage, and interconnection technologies, that are at basis of convergence among the HPC, Cloud, Big Data, and artificial intelligence (AI) domains. Through the presentation of the solutions devised within recently founded H2020 European projects, this book provides an insight on challenges faced by integrating such technologies and in achieving performance and energy efficiency targets towards the exascale level. Emphasis is given to innovative ways of provisioning and managing resources, as well as monitoring their usage. Industrial and scientific use cases give to the reader practical examples of the needs for a cross-domain convergence.

All the chapters in this book pave the road to new generation of technologies, support their development and, in addition, verify them on real-world problems. The readers will find this book useful because it provides an overview of currently available technologies that fit with the concept of unified Cloud-HPC-Big Data-AI applications and presents examples of their actual use in scientific and industrial applications.

ISBN: 9781032009919

Dimensions: unknown

Weight: 467g

294 pages