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cs.DC2022★ 22 cited
Deep Learning Workload Scheduling in GPU Datacenters: Taxonomy, Challenges and Vision
Wei Gao, Qinghao Hu, Zhisheng Ye +5
Deep learning (DL) shows its prosperity in a wide variety of fields. The development of a DL model is a time-consuming and resource-intensive procedure. Hence, dedicated GPU accele…
cs.DC2022
A Simulation Platform for Multi-tenant Machine Learning Services on Thousands of GPUs
Ruofan Liang, Bingsheng He, Shengen Yan +1
Multi-tenant machine learning services have become emerging data-intensive workloads in data centers with heavy usage of GPU resources. Due to the large scale, many tuning paramete…