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HPC, Big Data, and AI Convergence Towards Exascale : Challenge and Vision

By: Jan Martinovic (Edited by) , Olivier Terzo (Edited by)

Manufacture on Demand

Ksh 29,150.00

Format: Hardback or Cased Book

ISBN-10: 1032009845

ISBN-13: 9781032009841

Publisher: Taylor & Francis Ltd

Imprint: CRC Press

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Jan 14th, 2022

Publication Status: Active

Product extent: 294 Pages

Weight: 624.00 grams

Dimensions (height x width x thickness): 16.00 x 24.20 x 2.80 cms

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This book 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 AI domains. It gives an insight on challenges faced by integrating such technologies and in achieving performance targets towards the exascale level.

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.


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