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Driving scientific and engineering discoveries through the integration of experiment, big data, and modeling and simulation21st Smoky Mountains Computational Sciences and Engineering, SMC 2021, virtual event, October 18-20, 2021 : revised selected papers /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Driving scientific and engineering discoveries through the integration of experiment, big data, and modeling and simulationedited by Jeffrey Nichols ... [et al.].
Reminder of title:	21st Smoky Mountains Computational Sciences and Engineering, SMC 2021, virtual event, October 18-20, 2021 : revised selected papers /
remainder title:	SMC 2021
other author:	Nichols, Jeffrey.
corporate name:
Published:	Cham :Springer International Publishing :2022.
Description:	xv, 467 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	High performance computingCongresses.
Online resource:	https://doi.org/10.1007/978-3-030-96498-6
ISBN:	9783030964986$q(electronic bk.)

Driving scientific and engineering discoveries through the integration of experiment, big data, and modeling and simulation21st Smoky Mountains Computational Sciences and Engineering, SMC 2021, virtual event, October 18-20, 2021 : revised selected papers /
Driving scientific and engineering discoveries through the integration of experiment, big data, and modeling and simulation21st Smoky Mountains Computational Sciences and Engineering, SMC 2021, virtual event, October 18-20, 2021 : revised selected papers /[electronic resource] :SMC 2021edited by Jeffrey Nichols ... [et al.]. - Cham :Springer International Publishing :2022. - xv, 467 p. :ill. (some col.), digital ;24 cm. - Communications in computer and information science,15121865-0937 ;. - Communications in computer and information science ;229..

Computational Applications: Converged HPC and Artificial Intelligence -- Advanced Computing Applications: Use Cases that Combine Multiple Aspects of Data and Modeling -- Advanced Computing Systems and Software: Connecting Instruments from Edge to Supercomputers -- Deploying Advanced Computing Platforms: On the Road to a Converged Ecosystem -- Scientific Data Challenges.

This book constitutes the revised selected papers of the 21st Smoky Mountains Computational Sciences and Engineering Conference, SMC 2021, held in Oak Ridge, TN, USA*, in October 2021. The 33 full papers and 3 short papers presented were carefully reviewed and selected from a total of 88 submissions. The papers are organized in topical sections of computational applications: converged HPC and artificial intelligence; advanced computing applications: use cases that combine multiple aspects of data and modeling; advanced computing systems and software: connecting instruments from edge to supercomputers; deploying advanced computing platforms: on the road to a converged ecosystem; scientific data challenges. *The conference was held virtually due to the COVID-19 pandemic.

ISBN: 9783030964986$q(electronic bk.)

Standard No.: 10.1007/978-3-030-96498-6doiSubjects--Topical Terms:

384560
High performance computing
--Congresses.

LC Class. No.: QA76.88 / .S56 2021

Dewey Class. No.: 004.11

Driving scientific and engineering discoveries through the integration of experiment, big data, and modeling and simulation21st Smoky Mountains Computational Sciences and Engineering, SMC 2021, virtual event, October 18-20, 2021 : revised selected papers /
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520 $a This book constitutes the revised selected papers of the 21st Smoky Mountains Computational Sciences and Engineering Conference, SMC 2021, held in Oak Ridge, TN, USA*, in October 2021. The 33 full papers and 3 short papers presented were carefully reviewed and selected from a total of 88 submissions. The papers are organized in topical sections of computational applications: converged HPC and artificial intelligence; advanced computing applications: use cases that combine multiple aspects of data and modeling; advanced computing systems and software: connecting instruments from edge to supercomputers; deploying advanced computing platforms: on the road to a converged ecosystem; scientific data challenges. *The conference was held virtually due to the COVID-19 pandemic.
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