Hpc, Big Data, and Ai Convergence Towards Exascale - Challenge and Vision

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.

Sommario

1. Towards the Convergence of High-Performance Computing, Cloud, and Big Data Domains. 2. The LEXIS Platform for Distributed Workflow Execution and Data Management. 3. Enabling the HPC and Artificial Intelligence Cross-Stack Convergence at the Exascale Level. 4. Data System and Data Management in a Federation of HPC/Cloud Centers. 5. Distributed HPC Resources Orchestration for Supporting Large-Scale Workflow Execution. 6. Advanced Engineering Platform Supporting CFD Simulations of Aeronautical Engine Critical Parts. 7. Event-Driven, Time-Constrained Workflows: An Earthquake and Tsunami Pilot. 8. Exploitation of Multiple Model Layers Within LEXIS Weather and Climate Pilot. 9. Data Convergence for High-Performance Cloud. 10. The DeepHealth HPC Infrastructure: Leveraging Heterogenous HPC and Cloud Computing Infrastructures for IA-Based Medical Solutions. 11. Applications of AI and HPC in Health Domain. 12. CYBELE: On the Convergence of HPC, Big Data Services, and AI Technologies. 13. CYBELE: A Hybrid Architecture of HPC and Big Data for AI Applications in Agriculture. 14. European Processor Initiative: Europe's Approach to Exascale Computing.

Info autore

Olivier Terzo is currently the Head of the ACA Advance Computing and Applications Research Area with a staff of 16 Reseaerchers at the LINKS Foundation Research Center (Italy).
Jan Martinovic is currently the Head of the Advanced Data Analysis and Simulations Lab at IT4Innovations National Supercomputing Center.

Riassunto

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.

Dettagli sul prodotto

• Autori: Olivier (Links Foundation Applied Research Terzo
• Con la collaborazione di: Jan Martinovič (Editore), Olivier Terzo (Editore), Terzo Olivier (Editore)
• Editore: Taylor & Francis Ltd.
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 29.01.2024
• EAN: 9781032009919
• ISBN: 978-1-0-3200991-9
• Pagine: 294
• Categorie: Scienze naturali, medicina, informatica, tecnica > Tecnica > Termotecnica, tecnica energetica ed elettrica; TECHNOLOGY & ENGINEERING / Electronics / General, TECHNOLOGY & ENGINEERING / Electrical, COMPUTERS / Computer Engineering, Electrical Engineering, environmental science, engineering & technology, Computer programming / software engineering, Electronics engineering, Communications engineering / telecommunications, Environmental science, engineering and technology, Transport technology and trades, Computer Programming / Software Development, Transport Technology & Trades