VastPipe: A High-Throughput Inference System via Adaptive Space-Division Multiplexing for Diverse Accelerators

Li-Xian Ma; Le-Ping Wang; En Shao; Rong-Yu Cao; Guang-Ming Tan

doi:10.1007/s11390-024-3773-5

Citations

378

Views

Abstract not available for this publication.

Cite this Article (APA)

Li-Xian, M., Le-Ping, W., En, S., Rong-Yu, C., Guang-Ming, T. (2025). VastPipe: A High-Throughput Inference System via Adaptive Space-Division Multiplexing for Diverse Accelerators. Journal of Computer Science and Technology. https://doi.org/10.1007/s11390-024-3773-5

Yu-Zhu Sun; He-Li Sun; Jian-Cong Ma; Peng Zhang; Xiao-Yong Huang · 2025

cites

389

FedBone: Towards Large-Scale Federated Multi-Task Learning

Yi-Qiang Chen; Teng Zhang; Xin-Long Jiang; Qian Chen; Chen-Long Gao; Wu-Liang Hu · 2024

cites

388

AI Computing Systems for Large Language Models Training

Zhen-Xing Zhang; Yuan-Bo Wen; Han-Qi Lyu; Chang Liu; Rui Zhang; Xia-Qing Li; Cha · 2025

cites

394

Domain Adaptation for Graph Representation Learning: Challenges, Progress, and Prospects