Abstract
The Open Knowledgebase of Interatomic Models (OpenKIM) is an NSF Science Gateway that archives fully functional computer implementations of interatomic models (potentials and force fields) and simulation codes that use them to compute material properties. Interatomic models are coupled with compatible simulation codes and executed in a fully automated manner by the OpenKIM processing pipeline, a cloud-based computation platform. The pipeline as previously introduced in the literature was insufficient to support the large volume and scale of computations that have become necessary within the materials science community. Accordingly, we present extensions made to the pipeline that allow it to utilize High-Performance Computing (HPC) resources in an efficient and performant fashion.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings - 2022 IEEE 18th International Conference on e-Science, eScience 2022 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 278-283 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781665461245 |
| DOIs | |
| State | Published - 2022 |
| Event | 18th IEEE International Conference on e-Science, eScience 2022 - Salt Lake City, United States Duration: Oct 10 2022 → Oct 14 2022 |
Publication series
| Name | Proceedings - 2022 IEEE 18th International Conference on e-Science, eScience 2022 |
|---|
Conference
| Conference | 18th IEEE International Conference on e-Science, eScience 2022 |
|---|---|
| Country/Territory | United States |
| City | Salt Lake City |
| Period | 10/10/22 → 10/14/22 |
Bibliographical note
Funding Information:The authors wish to acknowledge support from the Science Gateways Community Institute (SGCI) [3]. This work also used the Extreme Science and Engineering Discovery Environment (XSEDE) [4], which is supported by National Science Foundation grant number ACI-1548562. Specifically, this work used the Stampede2 cluster at the Texas Advanced Computing Center (TACC) and Jetstream [25] services hosted at Indiana University and TACC through allocation TG-MAT200008. Finally, we are grateful to XSEDE for enabling S. M. Clark to work with us through the Extended Collaborative Support Service (ECSS) [26] program. This work is supported by the National Science Foundation under awards DMR-1834251 and DMR-1834332.
Funding Information:
This work is supported by the National Science Foundation under awards DMR-1834251 and DMR-1834332
Publisher Copyright:
© 2022 IEEE.
Keywords
- cyberinfrastructure
- high-performance computing
- molecular dynamics