著作

刘晓义, 蒲中柱, 渠鹏, 郑纬民, 张悠慧 (2024). ActiveN: A Scalable and Flexibly-programmable Event-driven Neuromorphic Processor. In MICRO ’24.

王璇铮, Shuo Miao, 渠鹏, 张悠慧 (2024). DTrans: A Dataflow-transformation FPGA Accelerator with Nonlinear-operators fusion aiming for the Generative Model. In FPL'24.

庞猛, 费翔, 渠鹏, Zhaolin Li, 张悠慧 (2024). A Row Decomposition-based Approach for Sparse Matrix Multiplication on GPUs. In PPoPP ‘24.

渠鹏, Xinglong Ji, 陈嘉杰, 庞猛, 李宇晨, 刘晓义, 张悠慧 (2024). Research on General-purpose Brain-Inspired Computing Systems. In JCST ‘24 Cover Article.

范仁昊, Yikai Cui, Qilin Chen, Mingyu Wang, 张悠慧, 郑纬民, Zhaolin Li (2023). MAICC : A Lightweight Many-core Architecture with In-Cache Computing for Multi-DNN Parallel Inference. In MICRO ’23.

李泽清, Yongwei Wu, 张悠慧 (2023). Multi-objective optimization for Floating Point Mix-Precision Tuning.. In ISLPED ‘23 Best paper candidate..

庞猛, 李宇晨, Zhaolin Li, 张悠慧 (2023). FABLE: A Development and Computing Framework for Brain-inspired Learning Algorithms. In IJCNN ‘23.

渠鹏, Hui Lin, 庞猛, Xiaofei Liu, 郑纬民, 张悠慧 (2023). ENLARGE: An Efficient SNN Simulation Framework on GPU Clusters. In IEEE TPDS ‘24.

陈嘉杰, 杨乐, 张悠慧 (2022). GaBAN: a generic and flexibly programmable vector neuro-processor on FPGA. In DAC ‘22.

费翔, 韩建辉, Jianqiang Huang, 郑纬民, 张悠慧 (2022). Accelerating Neural Network Training with Processing-in-Memory GPU. In IEEE CCGrid ‘22.

渠鹏, 杨乐, 郑纬民, 张悠慧 (2022). A review of basic software for brain-inspired computing. In CCF THPC ‘22.

韩建辉, 费翔, Zhaolin Li, 张悠慧 (2021). Polyhedral-Based Compilation Framework for In-Memory Neural Network Accelerators. In JETC ‘21.

费翔, 张悠慧 (2021). Regu2D: Accelerating Vectorization of SpMV on Intel Processors through 2D-partitioning and Regular Arrangement. In ICPP ‘21.

季宇, 张悠慧, 郑纬民 (2021). 基于忆阻器的近似计算方法. In JST ‘21.

渠鹏, 陈嘉杰, 张悠慧, 郑纬民 (2021). 实现软硬件解耦合的类脑计算硬件设计方法. In JCRD ‘21.

张悠慧, 渠鹏, 郑纬民 (2021). Towards "general purpose" brain-inspired computing system. In TST ‘21.

季宇, Liuzixin, 张悠慧 (2021). A Reduced Architecture for ReRAM-Based Neural Network Accelerator and Its Software Stack. In IEEE TC ‘21.

费翔, 张悠慧, 郑纬民 (2020). XB-SIM*: A Simulation Framework for Modeling and Exploration of ReRAM-Based CNN Acceleration Design. In TST ‘21.

渠鹏, 张悠慧, 费翔 (2020). High Performance Simulation of Spiking Neural Network on GPGPUs. In IEEE TPDS ‘20.

张悠慧, 渠鹏, 季宇, 张伟豪, Guangrong Gao, Guanrui Wang, Sen Song, Guoqi Li, Wenguang Chen, 郑纬民, Feng Chen, Jing Pei, Rong Zhao, Mingguo Zhao, Luping Shi (2020). A system hierarchy for brain-inspired computing. In Nature ‘20.

韩建辉, 刘鹤, Minyu Wang, Zhaolin Li, 张悠慧 (2020). ERA-LSTM: An Efficient ReRAM-Based Architecture for Long Short-Term Memory. In IEEE TPDS ‘20.

韩建辉, Zhaolin Li, 郑纬民, 张悠慧 (2020). Hardware implementation of spiking neural networks on FPGA. In TST ‘20.

Jing Pei, Lei Deng, Sen Song, Mingguo Zhao, 张悠慧, Shuang Wu, Guanrui Wang, Zhe Zou, Zhenzhi Wu, Wei He, Feng Chen, Ning Deng, Si Wu, Yu Wang, Yujie Wu, Zheyu Yang, Cheng Ma, Guoqi Li, Wentao Han, Huanglong Li, Huaqiang Wu, Rong Zhao, Yuan Xie, Luping Shi (2019). Towards artificial general intelligence with hybrid Tianjic chip architecture. In Nature ‘19.

季宇, 张悠慧, Xinfeng Xie, Shuangchen Li, Xing Hu, Yuan Xie (2019). FPSA: A Full System Stack Solution for Reconfigurable ReRAM-based NN Accelerator Architecture. In ASPLOS ‘19.

刘鹤, 韩建辉, 张悠慧 (2019). A Unified Framework for Training, Mapping and Simulation of ReRAM-Based Convolutional Neural Network Acceleration. In IEEE CAL ‘19.

刘鹤, 季宇, 韩建辉, 张悠慧, 郑纬民 (2019). 面向阻变存储器的长短期记忆网络加速器的训练和软件仿真. In JCRD ‘19.

季宇, Liuzixin, Xing Hu, Peiqi Wang, 张悠慧 (2019). Programmable neural network trojan for pre-trained feature extractor. In arXiv.

季宇, Ling Liang, Lei Deng, Youyang Zhang, 张悠慧, Yuan Xie (2018). TETRIS: TilE-matching the TRemendous Irregular Sparsity. In NIPS ‘18.

季宇, 张悠慧, Wenguang Chen, Yuan Xie (2018). Bridge the Gap between Neural Networks and Neuromorphic Hardware with a Neural Network Compiler. In ASPLOS ‘18.

张悠慧, Youyang Zhang, 李艳华, 费翔, 郑纬民 (2017). In-Place Irregular Computation for Message-Passing Chip-Multiprocessors. In ICPPW ‘21.

李艳华, 张悠慧, 姜慈航, 郑纬民 (2017). Hardware support for message-passing in chip multi-processors. In IJHPCN ‘17.

渠鹏, Jin Yan, 张悠慧, Guang R. Gao (2017). Parallel Turing Machine, a Proposal. In JCST ‘17.

季宇, 张悠慧, Shuangchen Li, Ping Chi, 姜慈航, 渠鹏, Yuan Xie, Wenguang Chen (2016). NEUTRAMS: Neural network transformation and co-design under neuromorphic hardware constraints. In MICRO ‘16.

季宇, 张悠慧, 刘鹤, 郑纬民 (2016). Optimized Mapping Spiking Neural Networks onto Network-on-Chip. In ICA3PP ‘16.

张悠慧, 季宇, Wenguang Chen, Yuan Xie (2016). Neural network transformation under hardware constraints. In CASES ‘16.

季宇, 张悠慧, 郑纬民 (2016). Modelling Spiking Neural Network from the Architecture Evaluation Perspective. In JCST ‘16.

姜慈航, 张悠慧, 郑纬民 (2015). Software-Based Lightweight Multithreading to Overlap Memory-Access Latencies of Commodity Processors. In ICPP ‘15.

张悠慧, 渠鹏, 姜慈航, 郑纬民 (2015). A Cloud Gaming System Based on User-Level Virtualization and Its Resource Scheduling. In IEEE TPDS ‘16.