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Exploiting Bounded Staleness to Speed Up Big Data Analytics.

, , , , , , , , , , , and . USENIX Annual Technical Conference, page 37-48. USENIX Association, (2014)

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A software toolkit for visualizing enterprise routing design., , , and . SafeConfig, IEEE, (2011)High-Performance Distributed ML at Scale through Parameter Server Consistency Models., , , , , and . CoRR, (2014)Poseidon: A System Architecture for Efficient GPU-based Deep Learning on Multiple Machines., , , , , , and . CoRR, (2015)High-Performance Distributed ML at Scale through Parameter Server Consistency Models., , , , , and . AAAI, page 79-87. AAAI Press, (2015)Managed communication and consistency for fast data-parallel iterative analytics., , , , , , , , and . SoCC, page 381-394. ACM, (2015)Automating Dependence-Aware Parallelization of Machine Learning Training on Distributed Shared Memory., , , and . EuroSys, page 42:1-42:17. ACM, (2019)LightLDA: Big Topic Models on Modest Compute Clusters., , , , , , , , and . CoRR, (2014)Consistent Bounded-Asynchronous Parameter Servers for Distributed ML., , , , , and . CoRR, (2013)Addressing the straggler problem for iterative convergent parallel ML., , , , , , , and . SoCC, page 98-111. ACM, (2016)Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters., , , , , , , , , and . USENIX Annual Technical Conference, page 181-193. USENIX Association, (2017)