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Tessel: Boosting Distributed Execution of Large DNN Models via Flexible Schedule Search.

, , , , , , and . HPCA, page 803-816. IEEE, (2024)

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Efficient Data Loader for Fast Sampling-Based GNN Training on Large Graphs., , , , , , and . IEEE Trans. Parallel Distributed Syst., 32 (10): 2541-2556 (2021)PaGraph: Scaling GNN training on large graphs via computation-aware caching., , , , and . SoCC, page 401-415. ACM, (2020)Adaptive Time-Varying Routing for Energy Saving and Load Balancing in Wireless Body Area Networks., , , and . IEEE Trans. Mob. Comput., 23 (1): 90-101 (January 2024)Flexible high-resolution object detection on edge devices with tunable latency., , , , and . MobiCom, page 559-572. ACM, (2021)Accelerating GNN training with locality-aware partial execution., , , , , , , and . APSys, page 34-41. ACM, (2021)Tessel: Boosting Distributed Execution of Large DNN Models via Flexible Schedule Search., , , , , , and . HPCA, page 803-816. IEEE, (2024)Aceso: Efficient Parallel DNN Training through Iterative Bottleneck Alleviation., , , , , , , and . EuroSys, page 163-181. ACM, (2024)Occlumency: Privacy-preserving Remote Deep-learning Inference Using SGX., , , , , , , , , and . MobiCom, page 46:1-46:17. ACM, (2019)LED Virtual Simulation based on Web3D., , , , and . J. Multim., 9 (1): 43-50 (2014)SuperScaler: Supporting Flexible DNN Parallelization via a Unified Abstraction., , , , , , , , , and 3 other author(s). CoRR, (2023)