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AsynGraph: Maximizing Data Parallelism for Efficient Iterative Graph Processing on GPUs.

Y. Zhang, X. Liao, L. Gu, H. Jin, K. Hu, H. Liu, и B. He. ACM Trans. Archit. Code Optim., 17 (4): 29:1-29:21 (2020)

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Bingsheng He

Bingsheng Ke

Chunmao He

Ning He

Hongxia He

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Effective and Efficient Federated Tree Learning on Hybrid Data.Q. Li, C. Xie, X. Xu, X. Liu, C. Zhang, B. Li, B. He, и D. Song. CoRR, (2023)NIOT: A Novel Inference Optimization of Transformers on Modern CPUs.Z. Zhang, Y. Chen, B. He, и Z. Zhang. IEEE Trans. Parallel Distributed Syst., 34 (6): 1982-1995 (июня 2023)A Survey on Spark Ecosystem: Big Data Processing Infrastructure, Machine Learning, and Applications (Extended abstract).S. Tang, B. He, C. Yu, Y. Li, и K. Li. ICDE, стр. 3779-3780. IEEE, (2023)A High-Performance Index for Real-Time Matrix Retrieval (Extended Abstract).Z. Wen, M. Liang, B. He, и Z. Xia. ICDE, стр. 3757-3758. IEEE, (2023)EdgeNN: Efficient Neural Network Inference for CPU-GPU Integrated Edge Devices.C. Zhang, F. Zhang, K. Chen, M. Chen, B. He, и X. Du. ICDE, стр. 1193-1207. IEEE, (2023)Dynamic Graph Segmentation for Deep Graph Neural Networks.J. Kang, S. Yang, S. Venkatesan, S. Tan, F. Cheng, и B. He. KDD, стр. 4601-4611. ACM, (2022)Parallelizing Intra-Window Join on Multicores: An Experimental Study.S. Zhang, Y. Mao, J. He, P. Grulich, S. Zeuch, B. He, R. Ma, и V. Markl. SIGMOD Conference, стр. 2089-2101. ACM, (2021)Poet: an Interactive Spatial Query Processing System in Grab.J. Paul, J. Ang, T. Fu, B. He, S. Lu, S. Tan, и F. Cheng. SIGSPATIAL/GIS, стр. 477-486. ACM, (2020)HARL: Hierarchical Adaptive Reinforcement Learning Based Auto Scheduler for Neural Networks.Z. Zhang, B. He, и Z. Zhang. ICPP, стр. 77:1-77:13. ACM, (2022)Practical One-Shot Federated Learning for Cross-Silo Setting.Q. Li, B. He, и D. Song. IJCAI, стр. 1484-1490. ijcai.org, (2021)

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