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HP, big data, AI convergence towards Exascale : challenge and vision / Olivier Terzo, Jan Martinovič.

By: Contributor(s): Material type: TextTextPublication details: Boca Raton CRC Press 2022Edition: 1Description: pages cmISBN:
  • 9781032009841
  • 9781032009919
DDC classification:
  • 004 TER
Summary: "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"--
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Item type Current library Home library Call number Status Date due Barcode
Book Book Dept. of Computer Science Reference Dept. of Computer Science 004 TER (Browse shelf(Opens below)) Available DCS5016

"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"--

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