CAREER: Embracing Uncertainty in High-Performance Computing Resource Scheduling: An Integr — NSF Award to University of Kansas Cen
Resource scheduling is a critical component of high-performance computing (HPC) systems. Despite extensive literature on scheduling, new challenges continue to arise due to advancements in hardware, software, and evolving models, metrics, and performance demands. Today’s HPC systems operate on an unprecedented scale, p
| Award title | CAREER: Embracing Uncertainty in High-Performance Computing Resource Scheduling: An Integr |
|---|---|
| Award ID | 2441633 |
| Awardee | University of Kansas Center for Research Inc |
| City | LAWRENCE |
| State | KS |
| Amount obligated | $324,315 |
| Principal investigator | Hongyang Sun |
| Program | EPSCoR Co-Funding, Software & Hardware Foundation |
| Start date | 10/01/2025 |
| Abstract | Resource scheduling is a critical component of high-performance computing (HPC) systems. Despite extensive literature on scheduling, new challenges continue to arise due to advancements in hardware, software, and evolving models, metrics, and performance demands. Today’s HPC systems operate on an unprecedented scale, presenting significant challenges for resource management, particularly when facing uncertainty introduced by emerging application characteristics and system-level complexities. Exi |
| Source | NSF Awards |
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