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Biblio
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Filters: Author is Qirong Ho [Clear All Filters]
Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning. 15th {USENIX} Symposium on Operating Systems Design and Implementation ({OSDI} 21). :1--18.
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2021. Cavs: An Efficient Runtime System for Dynamic Neural Networks. 2018 USENIX Annual Technical Conference (USENIX ATC 18). :937--950.
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2018. Litz: Elastic Framework for High-Performance Distributed Machine Learning. 2018 USENIX Annual Technical Conference (USENIX ATC 18). :631--644.
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2018. Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters. 2017 USENIX Annual Technical Conference (USENIX ATC 17). :181--193.
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2017. Exploiting Bounded Staleness to Speed Up Big Data Analytics. 2014 USENIX Annual Technical Conference (USENIX ATC 14). :37--48.
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2014. Solving the Straggler Problem with Bounded Staleness. 14th Workshop on Hot Topics in Operating Systems (HotOS XIV).
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2013.