Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation [electronic resource] : 21st Smoky Mountains Computational Sciences and Engineering, SMC 2021, Virtual Event, October 18-20, 2021, Revised Selected Papers /
Material type: TextSeries: Communications in Computer and Information Science ; 1512Publisher: Cham : Springer International Publishing : Imprint: Springer, 2022Edition: 1st ed. 2022Description: XV, 467 p. 171 illus., 160 illus. in color. online resourceContent type:- text
- computer
- online resource
- 9783030964986
- Computer systems
- Computers, Special purpose
- Computer networks
- Artificial intelligence
- Computer engineering
- Social sciences -- Data processing
- Computer System Implementation
- Special Purpose and Application-Based Systems
- Computer Communication Networks
- Artificial Intelligence
- Computer Engineering and Networks
- Computer Application in Social and Behavioral Sciences
- 004.2 23
- QA76.9.S88
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.
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