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Empirical Evaluation of Fixed-Point Arithmetic for Deep Belief Networks.

J. Jiang, R. Hu, M. Luján, и Y. Dou. ARC, том 7806 из Lecture Notes in Computer Science, стр. 225. Springer, (2013)

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Jingfei Guo

Jingfei Yang

Jianzhong Jiang

Jiang Zhang

Andong Jiang

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A Unified Co-Processor Architecture for Matrix Decomposition.Y. Dou, J. Zhou, G. Wu, J. Jiang, Y. Lei, и S. Ni. J. Comput. Sci. Technol., 25 (4): 874-885 (2010)Empirical Evaluation of Fixed-Point Arithmetic for Deep Belief Networks.J. Jiang, R. Hu, M. Luján, и Y. Dou. ARC, том 7806 из Lecture Notes in Computer Science, стр. 225. Springer, (2013)Study of Multilevel Parallel Algorithm of KPCA for Hyperspectral Images.R. Xu, C. Gao, и J. Jiang. NCTCS, том 882 из Communications in Computer and Information Science, стр. 99-115. Springer, (2018)Design and Implementation of Convolutional Neural Network Accelerator with Variable Layer-by-layer Debugging.S. Huang, J. Jiang, Y. Dou, L. Bai, H. Wang, и B. Qin. ICDLT, стр. 1-6. ACM, (2018)DSIRBS : A Layer-wise Balanced DNN Weight Pruning Method.X. Qian, J. Jiang, J. Xu, C. Gao, и Q. Xu. ICMLC, стр. 146-151. ACM, (2023)Auto-Divide GNN: Accelerating GNN Training with Subgraph Division.H. Chen, Z. Ran, K. Ge, Z. Lai, J. Jiang, и D. Li. Euro-Par, том 14100 из Lecture Notes in Computer Science, стр. 367-382. Springer, (2023)A high-throughput scalable BNN accelerator with fully pipelined architecture.Z. Han, J. Jiang, J. Xu, P. Zhang, X. Zhao, D. Wen, и Y. Dou. CCF Trans. High Perform. Comput., 3 (1): 17-30 (2021)Evaluating a New Attention Framework Based on Matrix Blocking for Attention Models on FPGAs.X. Liu, J. Jiang, J. Xu, и L. Gao. ICTAI, стр. 607-615. IEEE, (2022)An FPGA-based processor for training convolutional neural networks.Z. Liu, Y. Dou, J. Jiang, Q. Wang, и P. Chow. FPT, стр. 207-210. IEEE, (2017)A New Computer Architecture Using a New Program Driving Method.X. Li, X. Cui, X. Ni, C. Ma, J. Jiang, H. Zhou, Z. Zhou, K. Luo, и J. Deng. ACIS-ICIS, стр. 345-349. IEEE Computer Society, (2006)

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