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On application-level approaches to avoiding TCP throughput collapse in cluster-based storage systems., , , , , , and . PDSW, page 1-4. ACM Press, (2007)Parameter Hub: High Performance Parameter Servers for Efficient Distributed Deep Neural Network Training., , , , and . CoRR, (2018)Packrat: Automatic Reconfiguration for Latency Minimization in CPU-based DNN Serving., , , , and . CoRR, (2023)Efficient Algorithms for Device Placement of DNN Graph Operators., , , , and . NeurIPS, (2020)Workload-Aware Hardware Accelerator Mining for Distributed Deep Learning Training., , , , and . CoRR, (2024)Ditto: a system for opportunistic caching in multi-hop wireless networks., , , , and . MobiCom, page 279-290. ACM, (2008)Scalable Multicast Platforms for a New Generation of Robust Distributed Applications., , , , , and . COMSWARE, IEEE, (2007)CheckFreq: Frequent, Fine-Grained DNN Checkpointing., , and . FAST, page 203-216. USENIX Association, (2021)HomeLab: a platform for conducting experiments with connected devices in the home., , , , , , , and . SIGCOMM, page 493-494. ACM, (2013)Doing more with less: training large DNN models on commodity servers for the masses., , , and . HotOS, page 119-127. ACM, (2021)