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SDPaxos: Building Efficient Semi-Decentralized Geo-replicated State Machines.

, , , , and . SoCC, page 68-81. ACM, (2018)

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Understanding and Surpassing Dropbox: Efficient Incremental Synchronization in Cloud Storage Services., , , and . GLOBECOM, page 1-7. IEEE, (2015)DSwitch: a dual mode direct and network attached disk., , and . SoCC, page 71-83. ACM, (2015)HiveD: Sharing a GPU Cluster for Deep Learning with Guarantees., , , , , , , , , and 1 other author(s). OSDI, page 515-532. USENIX Association, (2020)SiloD: A Co-design of Caching and Scheduling for Deep Learning Clusters., , , , , , , , , and 2 other author(s). EuroSys, page 883-898. ACM, (2023)DeltaCFS: Boosting Delta Sync for Cloud Storage Services by Learning from NFS., , , , , , and . ICDCS, page 264-275. IEEE Computer Society, (2017)PIT: Optimization of Dynamic Sparse Deep Learning Models via Permutation Invariant Transformation., , , , , , , , , and 1 other author(s). SOSP, page 331-347. ACM, (2023)Nesting Forward Automatic Differentiation for Memory-Efficient Deep Neural Network Training., , , , , , , , and . ICCD, page 738-745. IEEE, (2022)SDPaxos: Building Efficient Semi-Decentralized Geo-replicated State Machines., , , , and . SoCC, page 68-81. ACM, (2018)Efficient GPU Kernels for N: M-Sparse Weights in Deep Learning., , , , , , , , , and 1 other author(s). MLSys, mlsys.org, (2023)SuperScaler: Supporting Flexible DNN Parallelization via a Unified Abstraction., , , , , , , , , and 3 other author(s). CoRR, (2023)