Abstract
Extreme-scale science requires scientists to combine multiple heterogeneous computational tasks in complex workflows, efficiently managing large amounts of data, and fully exploiting the performance of the entire edge-to-HPC computing continuum. Going from science to workflows requires domain scientists to express their research ideas from a computer science perspective so that the most adapted and efficient tools and techniques can be selected. However, this is a long, error-prone, and tedious process, as there is no 'turnkey solution' in such a diverse ecosystem. Therefore, we propose to develop a comprehensive simulation-based framework that will be used by domain scientists to easily prototype their scientific workflows, while expressing all the important information needed by computer scientists to provide them with the most efficient implementation.
| Original language | English |
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| Title of host publication | Proceedings 2023 IEEE 19th International Conference on e-Science, e-Science 2023 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798350322231 |
| DOIs | |
| State | Published - 2023 |
| Event | 19th IEEE International Conference on e-Science, e-Science 2023 - Limassol, Cyprus Duration: Oct 9 2023 → Oct 14 2023 |
Publication series
| Name | Proceedings 2023 IEEE 19th International Conference on e-Science, e-Science 2023 |
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Conference
| Conference | 19th IEEE International Conference on e-Science, e-Science 2023 |
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| Country/Territory | Cyprus |
| City | Limassol |
| Period | 10/9/23 → 10/14/23 |
Funding
ACKNOWLEDGEMENTS This research is partially supported by Laboratory Directed Research and Development Strategic Hire funding No. 11134 from Oak Ridge National Laboratory, provided by the Director, Office of Science, of the U.S. Department of Energy. This manuscript has been authored in part by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The publisher, by accepting the article for publication, acknowledges that the U.S. Government retains a non-exclusive, paid up, irrevocable, world-wide license to publish or reproduce the published form of the manuscript, or allow others to do so, for U.S. Government purposes. The DOE will provide public access to these results in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan).