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Full-Stack Architecting to Achieve a Billion-Requests-Per-Second Throughput on a Single Key-Value Store Server Platform., , , , , , , , , and . ACM Trans. Comput. Syst., 34 (2): 5:1-5:30 (2016)Putting the "Micro" Back in Microservice., , , and . USENIX Annual Technical Conference, page 645-650. USENIX Association, (2018)Raising the Bar for Using GPUs in Software Packet Processing., , , and . NSDI, page 409-423. USENIX Association, (2015)Achieving One Billion Key-Value Requests per Second on a Single Server., , , , , , , , , and . IEEE Micro, 36 (3): 94-104 (2016)FaSST: Fast, Scalable and Simple Distributed Transactions with Two-Sided (RDMA) Datagram RPCs., , and . OSDI, page 185-201. USENIX Association, (2016)Datacenter RPCs can be General and Fast., , and . CoRR, (2018)Architecting to achieve a billion requests per second throughput on a single key-value store server platform., , , , , , , , , and . ISCA, page 476-488. ACM, (2015)Design Guidelines for High Performance RDMA Systems., , and . ;login:, (2016)Datacenter RPCs can be General and Fast., , and . NSDI, page 1-16. USENIX Association, (2019)Using RDMA efficiently for key-value services., , and . SIGCOMM, page 295-306. ACM, (2014)