Frontiers in Scientific Workflows: Pervasive Integration With High-Performance Computing
We address the increasing complexity of scientific workflows in the context of high-performance computing (HPC) and their associated need for robust, adaptable, and flexible computational support systems. We explore five key trends as well as future challenges and opportunities for scientific workflows and HPC technologies.
Authors
- Rosa M. Badía (ORCID: https://orcid.org/0000-0003-2941-5499)
- Ian Foster (ORCID: https://orcid.org/0000-0003-2129-5269)
- Shantenu Jha (ORCID: https://orcid.org/0000-0002-5040-026X)
- Deborah Bard (ORCID: https://orcid.org/0000-0002-5162-5153)
- Rafael Ferreira da Silva (ORCID: https://orcid.org/0000-0002-1720-0928)
- Frédéric Suter (ORCID: https://orcid.org/0000-0003-1902-1955)
Institutions
- Rutgers, The State University of New Jersey (US)
- Argonne National Laboratory (US)
- Oak Ridge National Laboratory (US)
- Barcelona Supercomputing Center (ES)
- University of Illinois Chicago (US)
- University of Chicago (US)
- National Energy Research Scientific Computing Center (US)
- Universitat Politècnica de Catalunya (ES)
Publication Details
- Journal
- Computer
- Published
- 2024-08-01
- DOI
- https://doi.org/10.1109/mc.2024.3401542
- Citations
- 19
- Primary Topic
- Scientific Computing and Data Management
- Type
- article
- Field-Weighted Citation Impact
- 19.97
Funders
- U.S. Department of Energy
- UT-Battelle
- Office of Science
- Oak Ridge National Laboratory