Topology-aware GPU scheduling for learning workloads in cloud environments
SC '17: The International Conference for High Performance Computing, Networking, Storage and Analysis Denver Colorado November, 2017, pp. 1-12, 2017.
Recent advances in hardware, such as systems with multiple GPUs and their availability in the cloud, are enabling deep learning in various domains including health care, autonomous vehicles, and Internet of Things. Multi-GPU systems exhibit complex connectivity among GPUs and between GPUs and CPUs. Workload schedulers must consider hardwa...更多
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