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Evaluating the Power of Flexible Packet Processing for Network Resource Allocation.

, , , , , and . NSDI, page 67-82. USENIX Association, (2017)

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Approximate Storage in Solid-State Memories., , , and . ACM Trans. Comput. Syst., 32 (3): 9:1-9:23 (2014)Latency-Tolerant Software Distributed Shared Memory., , , , , , and . USENIX Annual Technical Conference, page 291-305. USENIX Association, (2015)PLink: Discovering and Exploiting Locality for Accelerated Distributed Training on the public Cloud., , , , and . MLSys, mlsys.org, (2020)Understanding RDMA Behavior in NUMA Systems., and . CGO, page 273-274. IEEE, (2019)Securing RDMA for High-Performance Datacenter Storage Systems., , , and . HotCloud, USENIX Association, (2020)Performance Evaluation of the Impact of NUMA on One-sided RDMA Interactions., and . SRDS, page 288-298. IEEE, (2020)Evaluating the Power of Flexible Packet Processing for Network Resource Allocation., , , , , and . NSDI, page 67-82. USENIX Association, (2017)Parameter Hub: High Performance Parameter Servers for Efficient Distributed Deep Neural Network Training., , , , and . CoRR, (2018)RCDC: a relaxed consistency deterministic computer., , , , and . ASPLOS, page 67-78. ACM, (2011)Can Affective Computing Better the Mental Status of the Electronic Games Player? A Perspective., , , , , , and . LifeTech, page 366-367. IEEE, (2020)