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Convergence of Artificial Intelligence and High Performance Computing on
  NSF-supported Cyberinfrastructure
v1v2 (latest)

Convergence of Artificial Intelligence and High Performance Computing on NSF-supported Cyberinfrastructure

Journal of Big Data (J Big Data), 2020
18 March 2020
Eliu A. Huerta
Asad Khan
Edward Davis
Colleen Bushell
W. Gropp
Daniel S. Katz
Volodymyr V. Kindratenko
S. Koric
William T. C. Kramer
Brendan McGinty
Kenton McHenry
Aaron Saxton
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "Convergence of Artificial Intelligence and High Performance Computing on NSF-supported Cyberinfrastructure"

11 / 11 papers shown
Efficient Data-Parallel Continual Learning with Asynchronous Distributed
  Rehearsal Buffers
Efficient Data-Parallel Continual Learning with Asynchronous Distributed Rehearsal Buffers
Thomas Bouvier
Bogdan Nicolae
Hugo Chaugier
Alexandru Costan
Ian Foster
Gabriel Antoniu
237
2
0
05 Jun 2024
Containerisation for High Performance Computing Systems: Survey and
  Prospects
Containerisation for High Performance Computing Systems: Survey and ProspectsIEEE Transactions on Software Engineering (TSE), 2022
Naweiluo Zhou
Huan Zhou
Dennis Hoppe
194
44
0
16 Dec 2022
FAIR for AI: An interdisciplinary and international community building
  perspective
FAIR for AI: An interdisciplinary and international community building perspectiveScientific Data (Sci Data), 2022
Eliu A. Huerta
Ben Blaiszik
L. C. Brinson
Kristofer E Bouchard
Daniel Madrigal Diaz
...
Fotis Psomopoulos
Avik Roy
Oliver Rübel
Zhizhen Zhao
Ruike Zhu
223
84
0
30 Sep 2022
Applications of physics informed neural operators
Applications of physics informed neural operators
S. Rosofsky
Hani Al Majed
Eliu A. Huerta
PINNAI4CE
354
73
0
23 Mar 2022
Interpreting a Machine Learning Model for Detecting Gravitational Waves
Interpreting a Machine Learning Model for Detecting Gravitational Waves
M. Safarzadeh
Asad Khan
Eliu A. Huerta
Martin Wattenberg
329
2
0
15 Feb 2022
Inference-optimized AI and high performance computing for gravitational
  wave detection at scale
Inference-optimized AI and high performance computing for gravitational wave detection at scaleFrontiers in Artificial Intelligence (FAI), 2022
Pranshu Chaturvedi
Asad Khan
Minyang Tian
Eliu A. Huerta
Huihuo Zheng
343
31
0
26 Jan 2022
AI and extreme scale computing to learn and infer the physics of higher
  order gravitational wave modes of quasi-circular, spinning, non-precessing
  binary black hole mergers
AI and extreme scale computing to learn and infer the physics of higher order gravitational wave modes of quasi-circular, spinning, non-precessing binary black hole mergers
Asad Khan
E. A. H. abd
Prayush Kumar
277
6
0
13 Dec 2021
The MIT Supercloud Dataset
The MIT Supercloud DatasetIEEE Conference on High Performance Extreme Computing (HPEC), 2021
S. Samsi
Matthew L. Weiss
David Bestor
Baolin Li
Michael Jones
...
Allan Vanterpool
Lindsey McEvoy
Anson Cheng
Devesh Tiwari
V. Gadepally
308
31
0
04 Aug 2021
Advances in Machine and Deep Learning for Modeling and Real-time
  Detection of Multi-Messenger Sources
Advances in Machine and Deep Learning for Modeling and Real-time Detection of Multi-Messenger Sources
Eliu A. Huerta
Zhizhen Zhao
372
22
0
13 May 2021
AIPerf: Automated machine learning as an AI-HPC benchmark
AIPerf: Automated machine learning as an AI-HPC benchmark
Zhixiang Ren
Yongheng Liu
Tianhui Shi
Lei Xie
Yue Zhou
Jidong Zhai
Youhui Zhang
Yunquan Zhang
Wenguang Chen
479
30
0
17 Aug 2020
Deep Learning for Cardiologist-level Myocardial Infarction Detection in
  Electrocardiograms
Deep Learning for Cardiologist-level Myocardial Infarction Detection in Electrocardiograms
Arjun Gupta
Eliu A. Huerta
Zhizhen Zhao
I. Moussa
329
32
0
16 Dec 2019
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