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NASPipe: high performance and reproducible pipeline parallel supernet training via causal synchronous parallelism.

, , , , , , , , and . ASPLOS, page 374-387. ACM, (2022)

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Kakute: A Precise, Unified Information Flow Analysis System for Big-data Security., , , , , , and . ACSAC, page 79-90. ACM, (2017)NASPipe: high performance and reproducible pipeline parallel supernet training via causal synchronous parallelism., , , , , , , , and . ASPLOS, page 374-387. ACM, (2022)Coorp: Satisfying Low-Latency and High-Throughput Requirements of Wireless Network for Coordinated Robotic Learning., , , , , , , , , and 2 other author(s). IEEE Internet Things J., 10 (3): 1946-1960 (February 2023)Efficient and DoS-resistant Consensus for Permissioned Blockchains., , , , , , , , , and 3 other author(s). Perform. Evaluation, (2022)MVSAS: Semantic-Aware Scheduling for Low Latency and High Precision in Wireless Multi-View Application., , , , , , , , and . ICPADS, page 266-273. IEEE, (2021)XL3M: A Training-free Framework for LLM Length Extension Based on Segment-wise Inference., , , , , , , , , and . CoRR, (2024)ROG: A High Performance and Robust Distributed Training System for Robotic IoT., , , , , , , , , and 4 other author(s). MICRO, page 336-353. IEEE, (2022)PLOVER: Fast, Multi-core Scalable Virtual Machine Fault-tolerance., , , , , , and . NSDI, page 483-489. USENIX Association, (2018)Towards Effective Developer Recommendation in Software Crowdsourcing., , , and . SEKE, page 326-329. KSI Research Inc. and Knowledge Systems Institute Graduate School, (2015)AGRNav: Efficient and Energy-Saving Autonomous Navigation for Air-Ground Robots in Occlusion-Prone Environments., , , , , , , , and . CoRR, (2024)