2 papers
cs.PF2025
xMem: A CPU-Based Approach for Accurate Estimation of GPU Memory in Deep Learning Training Workloads
Jiabo Shi, Dimitrios Pezaros, Yehia Elkhatib
The global scarcity of GPUs necessitates more sophisticated strategies for Deep Learning jobs in shared cluster environments. Accurate estimation of how much GPU memory a job will…
cs.DC2025
Accurate GPU Memory Prediction for Deep Learning Jobs through Dynamic Analysis
Jiabo Shi, Yehia Elkhatib
The benefits of Deep Learning (DL) impose significant pressure on GPU resources, particularly within GPU cluster, where Out-Of-Memory (OOM) errors present a primary impediment to m…