Zhenhua Zhu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
46
Venues
14
Active years
2006–2026
Best venue rank
A*
Where they publish
Papers
46 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ASPDAC | SpAct-NDP: Efficient LLM Inference via Sparse Activation on NDP-GPU Heterogeneous Architecture. | Jiaming Xu, Tongxin Xie, Yongkang Zhou, Jinhao Li, Yaoxiu Lian, Zhenhua Zhu, Yu Wang, Guohao Dai |
| 2026 | DATE | CIM-Tuner: Balancing the Compute and Storage Capacity of SRAM-CIM Accelerator via Hardware-mapping Co-exploration. | Jinwu Chen, Yuhui Shi, He Wang, Zhe Jiang, Jun Yang, Xin Si, Zhenhua Zhu |
| 2026 | DATE | PICoSNN: Partially Incoherent Configurable Optical Computing Architecture for SNN Acceleration. | Bowen Duan, Zhenhua Zhu, Zhengyang Duan, Huazhong Yang, Yuan Xie, Yu Wang |
| 2026 | DATE | FlashGEMM: Mesh-Aware Efficient GEMM for 3D-Stacked LLM Accelerators. | Xin Fan, Chen Bai, Xin Yang, Zhenhua Zhu, Yanhong Wang, Zhao Zhang, Yuan Xie |
| 2026 | DATE | Endor: Exploit Nearly-Decode-Only Opportunities of LLM Reasoning on Near-Memory Architecture. | Jun Liu, Tianlang Zhao, Shiyi Liu, Jiancai Ye, Lin Li, Zhen Yu, Li Ding, Hao Zhou, Zhenhua Zhu, Xuefei Ning, Yuan Xie, Yu Wang, Guohao Dai |
| 2026 | EuroSys | Efficient and Adaptable Overlapping for Computation and Communication via Signaling and Reordering. | Ke Hong, Xiuhong Li, Minxu Liu, Qiuli Mao, Tianqi Wu, Zixiao Huang, Lufang Chen, Zhong Wang, Yichong Zhang, Zhenhua Zhu, Guohao Dai, Yu Wang |
| 2026 | EuroSys | STAlloc: Enhancing Memory Efficiency in Large-Scale Model Training with Spatio-Temporal Planning. | Zixiao Huang, Junhao Hu, Hao Lin, Chunyang Zhu, Yueran Tang, Quanlu Zhang, Zhen Guo, Zhenhua Li, Shengen Yan, Zhenhua Zhu, Guohao Dai, Yu Wang |
| 2026 | ISCA | Bringing Near Data Processing Into the Low-Bit Floating-Point Era. | Tongxin Xie, Mingyu Gao, Zehao Wang, Zhihao Jia, Yuechen Xi, Bing Li, Mo Guang, Jiale Yan, Kaiwen Long, Xingcheng Zhang, Huazhong Yang, Yuan Xie, Zhenhua Zhu, Yu Wang |
| 2025 | DAC | PARO: Hardware-Software Co-design with Pattern-aware Reorder-based Attention Quantization in Video Generation Models. | Xinhao Yang, Tianchen Zhao, Hongyi Wang, Wenheng Ma, Shulin Zeng, Zhenhua Zhu, Xuefei Ning, Huazhong Yang, Yu Wang |
| 2025 | DAC | HPIM-NoC: A Priori-Knowledge-Based Optimization Framework for Heterogeneous PIM-Based NoCs. | Shuai Yuan, Angxin Cai, Qiushi Lin, Guoxing Wang, Yu Wang, Zhenhua Zhu, Yanan Sun |
| 2025 | FPGA | FMC-LLM: Enabling FPGAs for Efficient Batched Decoding of 70B+ LLMs with a Memory-Centric Streaming Architecture. | Wenheng Ma, Xinhao Yang, Shulin Zeng, Tengxuan Liu, Libo Shen, Hongyi Wang, Shiyao Li, Jiewen Wang, Yuhan Zhang, Hao Guo, Jintao Li, Ziming Zhang, Zhenhua Zhu, Xuefei Ning, Tsung-Yi Ho, Guohao Dai, Yu Wang |
| 2025 | HPCA | TB-STC: Transposable Block-wise N: M Structured Sparse Tensor Core. | Jun Liu, Shulin Zeng, Junbo Zhao, Li Ding, Zeyu Wang, Jinhao Li, Zhenhua Zhu, Xuefei Ning, Chen Zhang, Yu Wang, Guohao Dai |
| 2025 | HPCA | UniNDP: A Unified Compilation and Simulation Tool for Near DRAM Processing Architectures. | Tongxin Xie, Zhenhua Zhu, Bing Li, Yukai He, Cong Li, Guangyu Sun, Huazhong Yang, Yuan Xie, Yu Wang |
| 2025 | ICCAD | AccelStack: A Cost-Driven Analysis of 3D-Stacked LLM Accelerators. | Chen Bai, Xin Fan, Zhenhua Zhu, Wei Zhang, Yuan Xie |
| 2025 | ICCAD | How Do Errors Impact NN Accuracy on Non-Ideal Analog PIM? Fast Evaluation via an Error-Injected Robustness Metric. | Lidong Guo, Zhenhua Zhu, Qiushi Lin, Yuan Xie, Huazhong Yang, Wangyang Fu, Yu Wang |
| 2025 | MICRO | REACT3D: Real-time Edge Accelerator for Incremental Training in 3D Gaussian Splatting based SLAM Systems. | Hongyi Wang, Zhenhua Zhu, Tianchen Zhao, Yunfei Xiang, Zehao Wang, Jincheng Yu, Huazhong Yang, Yuan Xie, Yu Wang |
| 2024 | ASPLOS | FEASTA: A Flexible and Efficient Accelerator for Sparse Tensor Algebra in Machine Learning. | Kai Zhong, Zhenhua Zhu, Guohao Dai, Hongyi Wang, Xinhao Yang, Haoyu Zhang, Jin Si, Qiuli Mao, Shulin Zeng, Ke Hong, Genghan Zhang, Huazhong Yang, Yu Wang |
| 2024 | DAC | EPIM: Efficient Processing-In-Memory Accelerators based on Epitome. | Chenyu Wang, Zhen Dong, Daquan Zhou, Zhenhua Zhu, Yu Wang, Jiashi Feng, Kurt Keutzer |
| 2024 | DAC | DySpMM: From Fix to Dynamic for Sparse Matrix-Matrix Multiplication Accelerators. | Hongyi Wang, Kai Zhong, Haoyu Zhang, Shulin Zeng, Zhenhua Zhu, Xinhao Yang, Shuang Wang, Guohao Dai, Huazhong Yang, Yu Wang |
| 2024 | DATE | DyPIM: Dynamic-Inference-Enabled Processing - In-Memory Accelerator. | Tongxin Xie, Tianchen Zhao, Zhenhua Zhu, Xuefei Ning, Bing Li, Guohao Dai, Huazhong Yang, Yu Wang |
| 2024 | ICCAD | Towards Floating Point-Based Attention-Free LLM: Hybrid PIM with Non-Uniform Data Format and Reduced Multiplications. | Lidong Guo, Zhenhua Zhu, Tengxuan Liu, Xuefei Ning, Shiyao Li, Guohao Dai, Huazhong Yang, Wangyang Fu, Yu Wang |
| 2024 | ICCD | MOTPE/D: Hardware and Algorithm Co-design for Reconfigurable Neuromorphic Processor. | Yuan Li, Renzhi Chen, Zhijie Yang, Xun Xiao, Jingyue Zhao, Zhenhua Zhu, Huadong Dai, Yuhua Tang, Weixia Xu, Li Luo, Lei Wang |
| 2023 | DAC | Memory-Efficient and Real-Time SPAD-based dToF Depth Sensor with Spatial and Statistical Correlation. | Shiyao Li, Zhenhua Zhu, Yu Zhu, Qingpeng Zhu, Jiangwei Zhang, Wenxiu Sun, Guohao Dai, Fei Qiao, Huazhong Yang, Yu Wang |
| 2023 | DAC | Processing-In-Hierarchical-Memory Architecture for Billion-Scale Approximate Nearest Neighbor Search. | Zhenhua Zhu, Jun Liu, Guohao Dai, Shulin Zeng, Bing Li, Huazhong Yang, Yu Wang |
| 2023 | DAC | PIM-HLS: An Automatic Hardware Generation Tool for Heterogeneous Processing-In-Memory-based Neural Network Accelerators. | Yu Zhu, Zhenhua Zhu, Guohao Dai, Fengbin Tu, Hanbo Sun, Kwang-Ting Cheng, Huazhong Yang, Yu Wang |
| 2023 | DATE | CLAP: Locality Aware and Parallel Triangle Counting with Content Addressable Memory. | Tianyu Fu, Chiyue Wei, Zhenhua Zhu, Shang Yang, Zhongming Yu, Guohao Dai, Huazhong Yang, Yu Wang |
| 2023 | DATE | Minimizing Communication Conflicts in Network-On-Chip Based Processing-In-Memory Architecture. | Hanbo Sun, Tongxin Xie, Zhenhua Zhu, Guohao Dai, Huazhong Yang, Yu Wang |
| 2023 | HPCA | Realizing Extreme Endurance Through Fault-aware Wear Leveling and Improved Tolerance. | Jiangwei Zhang, Chong Wang, Zhenhua Zhu, Donald Kline, Alex K. Jones, Huazhong Yang, Yu Wang |
| 2023 | MICRO | DF-GAS: a Distributed FPGA-as-a-Service Architecture towards Billion-Scale Graph-based Approximate Nearest Neighbor Search. | Shulin Zeng, Zhenhua Zhu, Jun Liu, Haoyu Zhang, Guohao Dai, Zixuan Zhou, Shuangchen Li, Xuefei Ning, Yuan Xie, Huazhong Yang, Yu Wang |
| 2022 | DATE | Gibbon: Efficient Co-Exploration of NN Model and Processing-In-Memory Architecture. | Hanbo Sun, Chenyu Wang, Zhenhua Zhu, Xuefei Ning, Guohao Dai, Huazhong Yang, Yu Wang |
| 2022 | DATE | Exploiting Parallelism with Vertex-Clustering in Processing-In-Memory-based GCN Accelerators. | Yu Zhu, Zhenhua Zhu, Guohao Dai, Kai Zhong, Huazhong Yang, Yu Wang |
| 2022 | ISCA | DIMMining: pruning-efficient and parallel graph mining on near-memory-computing. | Guohao Dai, Zhenhua Zhu, Tianyu Fu, Chiyue Wei, Bangyan Wang, Xiangyu Li, Yuan Xie, Huazhong Yang, Yu Wang |
| 2022 | MDM | Optimizing Graph-based Approximate Nearest Neighbor Search: Stronger and Smarter. | Jun Liu, Zhenhua Zhu, Jingbo Hu, Hanbo Sun, Li Liu, Lingzhi Liu, Guohao Dai, Huazhong Yang, Yu Wang |
| 2022 | WSC | Field-Based Assessment of Joint Motions in Construction Tasks with and Without Exoskeletons in Support of Worker-Exoskeleton Partnership Modeling and Simulation. | Sean Tyler Bennett, Peter Gabriel Adamczyk, Fei Dai, Michael Wehner, Dharmaraj Veeramani, Zhenhua Zhu |
| 2021 | ASPDAC | Reliability-Aware Training and Performance Modeling for Processing-In-Memory Systems. | Hanbo Sun, Zhenhua Zhu, Yi Cai, Shulin Zeng, Kaizhong Qiu, Yu Wang, Huazhong Yang |
| 2021 | ICCAD | Rerec: In-ReRAM Acceleration with Access-Aware Mapping for Personalized Recommendation. | Yitu Wang, Zhenhua Zhu, Fan Chen, Mingyuan Ma, Guohao Dai, Yu Wang, Hai Li, Yiran Chen |
| 2020 | ASPDAC | An Energy-Efficient Quantized and Regularized Training Framework For Processing-In-Memory Accelerators. | Hanbo Sun, Zhenhua Zhu, Yi Cai, Xiaoming Chen, Yu Wang, Huazhong Yang |
| 2020 | DATE | Security Enhancement for RRAM Computing System through Obfuscating Crossbar Row Connections. | Minhui Zou, Zhenhua Zhu, Yi Cai, Junlong Zhou, Chengliang Wang, Yu Wang |
| 2019 | ASPDAC | Learning the sparsity for ReRAM: mapping and pruning sparse neural network for ReRAM based accelerator. | Jilan Lin, Zhenhua Zhu, Yu Wang, Yuan Xie |
| 2019 | DAC | A Configurable Multi-Precision CNN Computing Framework Based on Single Bit RRAM. | Zhenhua Zhu, Hanbo Sun, Yujun Lin, Guohao Dai, Lixue Xia, Song Han, Yu Wang, Huazhong Yang |
| 2019 | ICCAD | A General Logic Synthesis Framework for Memristor-based Logic Design. | Zhenhua Zhu, Mingyuan Ma, Jialong Liu, Liying Xu, Xiaoming Chen, Yuchao Yang, Yu Wang, Huazhong Yang |
| 2018 | ASPDAC | Training low bitwidth convolutional neural network on RRAM. | Yi Cai, Tianqi Tang, Lixue Xia, Ming Cheng, Zhenhua Zhu, Yu Wang, Huazhong Yang |
| 2018 | DATE | Rescuing memristor-based computing with non-linear resistance levels. | Jilan Lin, Lixue Xia, Zhenhua Zhu, Hanbo Sun, Yi Cai, Hui Gao, Ming Cheng, Xiaoming Chen, Yu Wang, Huazhong Yang |
| 2018 | ICCAD | Mixed size crossbar based RRAM CNN accelerator with overlapped mapping method. | Zhenhua Zhu, Jilan Lin, Ming Cheng, Lixue Xia, Hanbo Sun, Xiaoming Chen, Yu Wang, Huazhong Yang |
| 2017 | DAC | TIME: A Training-in-memory Architecture for Memristor-based Deep Neural Networks. | Ming Cheng, Lixue Xia, Zhenhua Zhu, Yi Cai, Yuan Xie, Yu Wang, Huazhong Yang |
| 2006 | CGI | Trajectory-Based Grasp Interaction for Virtual Environments. | Zhenhua Zhu, Shuming Gao, Huagen Wan, Wenzhen Yang |