A codesign framework for online data analysis and reduction

Author:

Mehta Kshitij1ORCID,Allen Bryce2,Wolf Matthew1,Logan Jeremy1,Suchyta Eric1,Singhal Swati3,Choi Jong Y.1,Takahashi Keichi4,Huck Kevin5,Yakushin Igor2,Sussman Alan3,Munson Todd2,Foster Ian26,Klasky Scott1

Affiliation:

1. Computer Science and Mathematics Division Oak Ridge National Laboratory Oak Ridge Tennessee USA

2. Mathematics and Computer Science Division Argonne National Laboratory Lemont Illinois USA

3. Department of Computer Science University of Maryland College Park Maryland USA

4. Division of Information Science Nara Institute of Science and Technology Nara Japan

5. Oregon Advanced Computing Institute for Science and Society University of Oregon Eugene Oregon USA

6. Department of Computer Science The University of Chicago Chicago Illinois USA

Funder

Office of Science

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Reference49 articles.

1. HamiltonS BurnsR MeneveauC et al. Extreme event analysis in next generation simulation architectures. Paper presented at: Proceedings of the ISC Frankfurt Germany;2017.

2. Online data analysis and reduction: an important co‐design motif for extreme‐scale computers;Foster I;Int J High‐Perform Comput Appl,2020

3. FosterI AinsworthM AllenB et al. Computing just what you need: Online data analysis and reduction at extreme scales. Paper presented at: Proceedings of the Euro‐Par: The European Conference on Parallel Processing Santiago de Compostela Galicia Spain;2017.

4. ChoiJY ChangC DominskiJ et al. Coupling exascale multiphysics applications: methods and lessons learned. Paper presented at: Proceedings of the 2018 IEEE 14th International Conference on e‐Science (e‐Science) Amsterdam Netherlands;2018:442‐452.

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