Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation: 21st Smoky Mountains Computational Sciences and Engineering, SMC 2021, Virtual Event, October 18-20, 2021, Revised Selected Papers

ยท ยท ยท ยท ยท ยท
ยท Springer Nature
ืกืคืจ ื“ื™ื’ื™ื˜ืœื™
467
ื“ืคื™ื
ื”ื‘ื™ืงื•ืจื•ืช ื•ื”ื“ื™ืจื•ื’ื™ื ืœื ืžืื•ืžืชื™ืย ืžื™ื“ืข ื ื•ืกืฃ

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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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ืขื•ื“ ืžืืช Jeffrey Nicholsโ€

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