Shulph Ink
HPC, Big Data, and AI Convergence Towards Exascale: Challenge and Vision
HPC, Big Data, and AI Convergence Towards Exascale: Challenge and Vision
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- More about HPC, Big Data, and AI Convergence Towards Exascale: Challenge and Vision
HPC, Big Data, AI Convergence Towards Exascale provides an updated vision on the advanced computing, storage, and interconnection technologies that are at the basis of convergence among the HPC, Cloud, Big Data, and AI domains. It presents solutions devised within recently founded H2020 European projects and emphasizes innovative ways of provisioning and managing resources. Industrial and scientific use cases give practical examples of the needs for a cross-domain convergence.
Format: Paperback / softback
Length: 294 pages
Publication date: 29 January 2024
Publisher: Taylor & Francis Ltd
HPC, Big Data, and AI Convergence Towards Exascale presents an up-to-date vision of the cutting-edge computing, storage, and interconnection technologies that form the foundation of convergence across the domains of HPC, Cloud, Big Data, and artificial intelligence (AI). By showcasing the solutions developed within recently established H2020 European projects, this book offers valuable insights into the challenges associated with integrating these technologies and achieving performance and energy efficiency targets at the exascale level.
A significant emphasis is placed on innovative approaches to resource provisioning and management, as well as the monitoring of resource utilization. Through the presentation of industrial and scientific use cases, the reader gains practical examples of the requirements for cross-domain convergence.
Each chapter in this book serves as a roadmap for the development of new technologies, supports their advancement, and validates them on real-world problems. Readers will find this book particularly useful as it provides an overview of currently available technologies that align with the concept of unified Cloud-HPC-Big Data-AI applications, along with examples of their actual implementation in scientific and industrial applications.
Weight: 600g
Dimension: 234 x 156 (mm)
ISBN-13: 9781032009919
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