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Home > 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 > NVIDIA’s Cloud Native Supercomputing
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 |
Jeffrey Nichols; Arthur ‘Barney’ Maccabe; James Nutaro; Swaroop Pophale; Pravallika Devineni; Theresa Ahearn; Becky Verastegui
Springer International Publishing
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
NVIDIA’s Cloud Native Supercomputing
Authors

Gilad Shainer; Richard Graham; Chris J. Newburn; Oscar Hernandez; Gil Bloch; Tom Gibbs et al.

ARI Id

1665371016684_6138683

Access

Not Available Free

Pages

340-357

DOI

10.1007/978-3-030-96498-6_20

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-030-96498-6_20

Table of Contents of Book
Showing 1 to 20 of 35 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
i-xv
Front Matter
1-1
Randomized Multilevel Monte Carlo for Embarrassingly Parallel Inference
Ajay Jasra; Kody J. H. Law; Alexander Tarakanov; Fangyuan Yu
3-21
Maintaining Trust in Reduction: Preserving the Accuracy of Quantities of Interest for Lossy Compression
Qian Gong; Xin Liang; Ben Whitney; Jong Youl Choi; Jieyang Chen; Lipeng Wan et al.
22-39
Applying Recent Machine Learning Approaches to Accelerate the Algebraic Multigrid Method for Fluid Simulations
Thorben Louw; Simon McIntosh-Smith
40-57
Building an Integrated Ecosystem of Computational and Observational Facilities to Accelerate Scientific Discovery
Suhas Somnath; Rama K. Vasudevan; Stephen Jesse; Sergei Kalinin; Nageswara Rao; Christopher Brumgard et al.
58-75
Front Matter
77-77
Fast and Accurate Predictions of Total Energy for Solid Solution Alloys with Graph Convolutional Neural Networks
Massimiliano Lupo Pasini; Marko Burc̆ul; Samuel Temple Reeve; Markus Eisenbach; Simona Perotto
79-98
Transitioning from File-Based HPC Workflows to Streaming Data Pipelines with openPMD and ADIOS2
Franz Poeschel; Juncheng E; William F. Godoy; Norbert Podhorszki; Scott Klasky; Greg Eisenhauer et al.
99-118
Understanding and Leveraging the I/O Patterns of Emerging Machine Learning Analytics
Ana Gainaru; Dmitry Ganyushin; Bing Xie; Tahsin Kurc; Joel Saltz; Sarp Oral et al.
119-138
Secure Collaborative Environment for Seamless Sharing of Scientific Knowledge
Srikanth Yoginath; Mathieu Doucet; Debsindhu Bhowmik; David Heise; Folami Alamudun; Hong-Jun Yoon et al.
139-156
The Convergence of HPC, AI and Big Data in Rapid-Response to the COVID-19 Pandemic
Sreenivas R. Sukumar; Jacob A. Balma; Christopher D. Rickett; Kristyn J. Maschhoff; Joseph Landman; Charles R. Yates et al.
157-172
High-Performance Ptychographic Reconstruction with Federated Facilities
Tekin Bicer; Xiaodong Yu; Daniel J. Ching; Ryan Chard; Mathew J. Cherukara; Bogdan Nicolae et al.
173-189
Machine-Learning Accelerated Studies of Materials with High Performance and Edge Computing
Ying Wai Li; Peter W. Doak; Giovanni Balduzzi; Wael Elwasif; Ed F. D’Azevedo; Thomas A. Maier
190-205
Front Matter
207-207
A Hardware Co-design Workflow for Scientific Instruments at the Edge
Kazutomo Yoshii; Rajesh Sankaran; Sebastian Strempfer; Maksim Levental; Mike Hammer; Antonino Miceli
209-226
NREL Stratus - Enabling Workflows to Fuse Data Streams, Modeling, Simulation, and Machine Learning
David Rager; Aaron Andersen
227-246
Braid-DB: Toward AI-Driven Science with Machine Learning Provenance
Justin M. Wozniak; Zhengchun Liu; Rafael Vescovi; Ryan Chard; Bogdan Nicolae; Ian Foster
247-261
Lessons Learned on the Interface Between Quantum and Conventional Networking
Muneer Alshowkan; Nageswara S. V. Rao; Joseph C. Chapman; Brian P. Williams; Philip G. Evans; Raphael C. Pooser et al.
262-279
Use It or Lose It: Cheap Compute Everywhere
Taylor Groves; Damian Hazen; Glenn Lockwood; Nicholas J. Wright
280-298
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 35 entries
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