Generalizable coordination of large multiscale workflows

Author:

Bhatia Harsh1,Di Natale Francesco1,Moon Joseph Y.1,Zhang Xiaohua1,Chavez Joseph R.1,Aydin Fikret2,Stanley Chris2,Oppelstrup Tomas1,Neale Chris3,Schumacher Sara Kokkila4,Ahn Dong H.1,Herbein Stephen1,Carpenter Timothy S.1,Gnanakaran Sandrasegaram3,Bremer Peer-Timo1,Glosli James N.1,Lightstone Felice C.1,Ingólfsson Helgi I.1

Affiliation:

1. Lawrence Livermore National Laboratory

2. Oak Ridge National Laboratory

3. Los Alamos National Laboratory

4. IBM Thomas J. Watson Research Center

Funder

National Cancer Institute

National Nuclear Security Administration

Publisher

ACM

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1. Graph3PO: A Temporal Graph Data Processing Method for Latency QoS Guarantee in Object Cloud Storage System;Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis;2023-11-11

2. Enabling Scalability in the Cloud for Scientific Workflows: An Earth Science Use Case;2023 IEEE 16th International Conference on Cloud Computing (CLOUD);2023-07

3. Mesoscale simulations: An indispensable approach to understand biomembranes;Biophysical Journal;2023-06

4. An Empirical Study of High Performance Computing (HPC) Performance Bugs;2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR);2023-05

5. Machine Learning-Driven Multiscale Modeling: Bridging the Scales with a Next-Generation Simulation Infrastructure;Journal of Chemical Theory and Computation;2023-04-19

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