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cs.DC2021
OpenGraphGym-MG: Using Reinforcement Learning to Solve Large Graph Optimization Problems on MultiGPU Systems
Weijian Zheng, Dali Wang, Fengguang Song
Large scale graph optimization problems arise in many fields. This paper presents an extensible, high performance framework (named OpenGraphGym-MG) that uses deep reinforcement lea…
cs.DC2020
ElasticBroker: Combining HPC with Cloud to Provide Realtime Insights into Simulations
Feng Li, Dali Wang, Feng Yan +1
For large-scale scientific simulations, it is expensive to store raw simulation results to perform post-analysis. To minimize expensive I/O, "in-situ" analysis is often used, where…