2 citations · 2 across the 1 of their papers we have counts for
2 papers
cs.DC2026
Mosaic: GPU Sharing with Latency Guarantees through Kernel-Level Interference Prediction
Foteini Strati, Ethan Graham, Leo Stephan +2
GPUs are increasingly in demand for AI workloads, yet often remain substantially underutilized, motivating workload colocation. However, colocation introduces interference that can…
cs.DC2025★ 2 cited
Understanding GPU Resource Interference One Level Deeper
Paul Elvinger, Foteini Strati, Natalie Enright Jerger +1
GPUs are vastly underutilized, even when running resource-intensive AI applications, as GPU kernels within each job have diverse resource profiles that may saturate some parts of a…