Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI〈1st ed. 2020〉 : 17th Smoky Mountains Computational Sciences and Engineering Conference, SMC 2020, Oak Ridge, TN, USA, August 26-28, 2020, Revised Selected Papers

著者名：Nichols, Jeffrey (EDT)/Verastegui, Becky (EDT)/Maccabe, Arthur ‘Barney’ (EDT)/Hernandez, Oscar (EDT)/Parete-Koon, Suzanne (EDT)/Ahearn, Theresa (EDT)

Springer（2020/12/22発売）

• 言語：ENG
• ISBN：9783030633929
• eISBN：9783030633936

Description

This book constitutes the revised selected papers of the 17th Smoky Mountains Computational Sciences and Engineering Conference, SMC 2020, held in Oak Ridge, TN, USA*, in August 2020.

The 36 full papers and 1 short paper presented were carefully reviewed and selected from a total of 94 submissions. The papers are organized in topical sections of computational applications: converged HPC and artificial intelligence; system software: data infrastructure and life cycle; experimental/observational applications: use cases that drive requirements for AI and HPC convergence; deploying computation: on the road to a converged ecosystem; scientific data challenges.

*The conference was held virtually due to the COVID-19 pandemic.

Table of Contents

Computational Applications: Converged HPC and Artificial Intelligence.- System Software: Data Infrastructure and Life Cycle.- Experimental/Observational Applications: Use Cases That Drive Requirements for AI and HPC Convergence.- Deploying Computation: On the Road to a Converged Ecosystem.- Scientific Data Challenges.