MCS- Faculty Research Participant-Obadare Awoleke
Argonne National Laboratory
Job posting number: #7134491 (Ref:415343)
Posted: March 16, 2023
Application Deadline: Open Until Filled
Parallel discrete event simulation (PDES) is a widely use approach in the study and co-design of supercomputer networks. PDES enables the extremely accurate prediction of performance trends in large-scale application by simulating the billions of fine-grained low-level network activities that precipitate these trends. Due to the volume of events required for these high-fidelity predictions, a PDES simulations of a typical supercomputer systems and workload can run up to 10,000 times slower than the workload on a real supercomputer. Most long-running supercomputer applications exhibit repeated communication patterns based on the repeated phases on these applications. Ongoing work at Argonne aim to leverage the repetitiveness nature of these pattern using fast surrogate models, such as ML models, to speed-up high-fidelity simulations. These surrogates will be trained on the PDES predictions of earlier-phase activities and used to make faster predictions of later-phase activities.
Job FamilyFaculty Program
Job ProfileFaculty Research Participant
Worker TypeShort-Term (Fixed Term)
Time TypeFull time
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