ReFINE: A Reactive and Fine-Grained Scheduling Framework For Concurrency on General Purpose GPUs
Year: 2025
Type: conference-paper
Abstract: Concurrency can be an effective technique for maximizing system utilization in general purpose GPUs (GPGPUs), enabling lower priority, best-effort tasks to run alongside higher-priority, latency-sensitive tasks to fully exploit available GPU resources. However, existing GPGPU concurrency mechanisms are inadequate for such workloads, as they lack the necessary components to sufficiently prioritize latency-sensitive tasks and ensure they meet their turnaround time deadlines.
Authors: Guin Gilman, Robert J. Walls
Institution: Worcester Polytechnic Institute
Language: English
Topic: Real-Time Systems Scheduling
Subfield: Hardware and Architecture
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4412480890