Abstract
Scientists using the high-throughput computing (HTC) paradigm for scientific discovery rely on complex software systems and heterogeneous architectures that must deliver robust science (i.e., ensuring performance scalability in space and time; trust in technology, people, and infrastructures; and reproducible or confirmable research). Developers must overcome a variety of obstacles to pursue workflow interoperability, identify tools and libraries for robust science, port codes across different architectures, and establish trust in non-deterministic results. This poster presents recommendations to build a roadmap to overcome these challenges and enable robust science for HTC applications and workflows. The findings were collected from an international community of software developers during a Virtual World Cafe in May 2021.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2021 IEEE International Conference on Cluster Computing, Cluster 2021 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 807-808 |
| Number of pages | 2 |
| ISBN (Electronic) | 9781728196664 |
| DOIs | |
| State | Published - 2021 |
| Event | 2021 IEEE International Conference on Cluster Computing, Cluster 2021 - Virtual, Portland, United States Duration: Sep 7 2021 → Sep 10 2021 |
Publication series
| Name | Proceedings - IEEE International Conference on Cluster Computing, ICCC |
|---|---|
| Volume | 2021-September |
| ISSN (Print) | 1552-5244 |
Conference
| Conference | 2021 IEEE International Conference on Cluster Computing, Cluster 2021 |
|---|---|
| Country/Territory | United States |
| City | Virtual, Portland |
| Period | 09/7/21 → 09/10/21 |
Funding
The work in this poster is funded by the National Science Foundation (NSF) under grants #2028881, #2028923, #2028930, #2028955, and #2028956.
Keywords
- Performance Scalability
- Reproducibility
- Trustworthiness