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Parameter Hub: a Rack-Scale Parameter Server for Distributed Deep Neural Network Training.

, , , , and . SoCC, page 41-54. ACM, (2018)

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Parameter Hub: High Performance Parameter Servers for Efficient Distributed Deep Neural Network Training., , , , and . CoRR, (2018)Scaling Distributed Machine Learning with In-Network Aggregation., , , , , , , , , and . CoRR, (2019)Trading Latency for Performance in Data-Intensive Applications., , , , , , and . ;login:, (2015)RCDC: a relaxed consistency deterministic computer., , , , and . ASPLOS, page 67-78. ACM, (2011)Crunching Large Graphs with Commodity Processors., , , , , , , , and . HotPar, USENIX Association, (2011)SNNAP: Approximate computing on programmable SoCs via neural acceleration., , , , , , and . HPCA, page 603-614. IEEE Computer Society, (2015)Approximate storage in solid-state memories., , , and . MICRO, page 25-36. ACM, (2013)Scalable adaptive label propagation in Grappa., , , , , , and . BigData, page 1485-1491. IEEE Computer Society, (2015)When Should The Network Be The Computer?, and . HotOS, page 209-215. ACM, (2019)Latency-Tolerant Software Distributed Shared Memory., , , , , , and . USENIX Annual Technical Conference, page 291-305. USENIX Association, (2015)