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Learning Everywhere: Pervasive Machine Learning for Effective
  High-Performance Computation

Learning Everywhere: Pervasive Machine Learning for Effective High-Performance Computation

27 February 2019
Geoffrey C. Fox
J. Glazier
J. Kadupitiya
V. Jadhao
Minje Kim
J. Qiu
J. Sluka
Endre Somogy
Madhav Marathe
Abhijin Adiga
Jiangzhuo Chen
O. Beckstein
S. Jha
ArXiv (abs)PDFHTML

Papers citing "Learning Everywhere: Pervasive Machine Learning for Effective High-Performance Computation"

11 / 11 papers shown
Title
AI-coupled HPC Workflows
AI-coupled HPC Workflows
S. Jha
V. Pascuzzi
Matteo Turilli
65
10
0
24 Aug 2022
AI Augmented Edge and Fog Computing: Trends and Challenges
AI Augmented Edge and Fog Computing: Trends and Challenges
Shreshth Tuli
Fatemeh Mirhakimi
Samodha Pallewatta
Syed Zawad
G. Casale
B. Javadi
Feng Yan
Rajkumar Buyya
N. Jennings
63
59
0
01 Aug 2022
A Distributed Deep Reinforcement Learning Technique for Application
  Placement in Edge and Fog Computing Environments
A Distributed Deep Reinforcement Learning Technique for Application Placement in Edge and Fog Computing Environments
M. Goudarzi
M. Palaniswami
Rajkumar Buyya
OffRL
94
90
0
24 Oct 2021
COSCO: Container Orchestration using Co-Simulation and Gradient Based
  Optimization for Fog Computing Environments
COSCO: Container Orchestration using Co-Simulation and Gradient Based Optimization for Fog Computing Environments
Shreshth Tuli
Shivananda R. Poojara
S. Srirama
G. Casale
N. Jennings
97
77
0
29 Apr 2021
Artificial intelligence techniques for integrative structural biology of
  intrinsically disordered proteins
Artificial intelligence techniques for integrative structural biology of intrinsically disordered proteins
A. Ramanathan
Henglong Ma
Akash Parvatikar
C. Chennubhotla
AI4CE
55
40
0
01 Dec 2020
Thermal Prediction for Efficient Energy Management of Clouds using
  Machine Learning
Thermal Prediction for Efficient Energy Management of Clouds using Machine Learning
Shashikant Ilager
K. Ramamohanarao
Rajkumar Buyya
55
64
0
07 Nov 2020
Dynamic Scheduling for Stochastic Edge-Cloud Computing Environments
  using A3C learning and Residual Recurrent Neural Networks
Dynamic Scheduling for Stochastic Edge-Cloud Computing Environments using A3C learning and Residual Recurrent Neural Networks
Shreshth Tuli
Shashikant Ilager
K. Ramamohanarao
Rajkumar Buyya
69
177
0
01 Sep 2020
Solving Newton's Equations of Motion with Large Timesteps using
  Recurrent Neural Networks based Operators
Solving Newton's Equations of Motion with Large Timesteps using Recurrent Neural Networks based Operators
J. Kadupitiya
Geoffrey C. Fox
V. Jadhao
AI4CE
70
22
0
12 Apr 2020
Methods and Experiences for Developing Abstractions for Data-intensive,
  Scientific Applications
Methods and Experiences for Developing Abstractions for Data-intensive, Scientific Applications
André Luckow
S. Jha
26
0
0
20 Feb 2020
DeepDriveMD: Deep-Learning Driven Adaptive Molecular Simulations for
  Protein Folding
DeepDriveMD: Deep-Learning Driven Adaptive Molecular Simulations for Protein Folding
Hyungro Lee
Heng Ma
Matteo Turilli
D. Bhowmik
S. Jha
A. Ramanathan
AI4CE
54
71
0
17 Sep 2019
Understanding ML driven HPC: Applications and Infrastructure
Understanding ML driven HPC: Applications and Infrastructure
Geoffrey C. Fox
S. Jha
54
13
0
05 Sep 2019
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