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Efficient Distributed Machine Learning with Trigger Driven Parallel Training., , , and . GLOBECOM, page 1-6. IEEE, (2016)Retentive Network: A Successor to Transformer for Large Language Models., , , , , , , and . CoRR, (2023)A Topology Construct and Control Model with Small-World and Scale-Free Concepts for Heterogeneous Sensor Networks., , , and . IJDSN, (2014)When computing meets heterogeneous cluster: Workload assignment in graph computation., , , and . IEEE BigData, page 154-163. IEEE Computer Society, (2015)Uncovering User Interaction Dynamics in Online Social Networks., , , , and . ICWSM, page 698-701. AAAI Press, (2015)ROLLER: Fast and Efficient Tensor Compilation for Deep Learning., , , , , , , , , and 5 other author(s). OSDI, page 233-248. USENIX Association, (2022)Cocktailer: Analyzing and Optimizing Dynamic Control Flow in Deep Learning., , , , , , , , and . OSDI, page 681-699. USENIX Association, (2023)The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits., , , , , , , , , and . CoRR, (2024)Distributed Graph Computation Meets Machine Learning., , , , , , , and . IEEE Trans. Parallel Distributed Syst., 31 (7): 1588-1604 (2020)Unfolding dynamics in a social network: co-evolution oflink formation and user interaction., , , , , and . WWW (Companion Volume), page 67-68. International World Wide Web Conferences Steering Committee / ACM, (2013)