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Distributed on-demand MAC scheduling for underwater acoustic networks.

, , , and . GLOBECOM, page 4884-4890. IEEE, (2014)

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Fountain code based Adaptive multi-hop Reliable data transfer for underwater acoustic networks., , , , , and . ICC, page 6396-6400. IEEE, (2012)Aqua-Sim Next Generation: A NS-3 Based Simulator for Underwater Sensor Networks., , , , , , and . WUWNet, page 18:1-18:2. ACM, (2015)An Efficient Geo-Routing Aware MAC Protocol for Underwater Acoustic Networks - (Invited Paper)., , , and . ADHOCNETS, volume 49 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 185-200. Springer, (2010)FreeFlow: Software-based Virtual RDMA Networking for Containerized Clouds., , , , , , , , and . NSDI, page 113-126. USENIX Association, (2019)A Unified Architecture for Accelerating Distributed DNN Training in Heterogeneous GPU/CPU Clusters., , , , , and . OSDI, page 463-479. USENIX Association, (2020)SAPipe: Staleness-Aware Pipeline for Data Parallel DNN Training., , , , , , , and . NeurIPS, (2022)CDMPP: A Device-Model Agnostic Framework for Latency Prediction of Tensor Programs., , , , , , and . CoRR, (2023)Serf and turf: crowdturfing for fun and profit., , , , , , and . WWW, page 679-688. ACM, (2012)Hi-Speed DNN Training with Espresso: Unleashing the Full Potential of Gradient Compression with Near-Optimal Usage Strategies., , , and . EuroSys, page 867-882. ACM, (2023)Reusing 60GHz Radios for Mobile Radar Imaging., , , and . MobiCom, page 103-116. ACM, (2015)