Guangyu Sun

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 117

Top Venues

CoRR

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.

DAC

HPCA

Publications

Chenguang Zhang, Zhihang Yuan, Xingchen Li, Guangyu Sun
Algorithm-Hardware Co-Design for Energy-Efficient A/D Conversion in ReRAM-Based Accelerators. DATE (2024)
Zhihang Yuan, Yuzhang Shang, Yang Zhou, Zhen Dong, Zhe Zhou, Chenhao Xue, Bingzhe Wu, Zhikai Li, Qingyi Gu, Yong Jae Lee, Yan Yan, Beidi Chen, Guangyu Sun, Kurt Keutzer
LLM Inference Unveiled: Survey and Roofline Model Insights. CoRR (2024)
Fan Cui, Chenyang Yin, Kexing Zhou, Youwei Xiao, Guangyu Sun, Qiang Xu, Qipeng Guo, Demin Song, Dahua Lin, Xingcheng Zhang, Yun Liang
OriGen:Enhancing RTL Code Generation with Code-to-Code Augmentation and Self-Reflection. CoRR (2024)
Lei Chen, Yiqi Chen, Zhufei Chu, Wenji Fang, Tsung-Yi Ho, Yu Huang, Sadaf Khan, Min Li, Xingquan Li, Yun Liang, Yibo Lin, Jinwei Liu, Yi Liu, Guojie Luo, Zhengyuan Shi, Guangyu Sun, Dimitrios Tsaras, Runsheng Wang, Ziyi Wang, Xinming Wei, Zhiyao Xie, Qiang Xu, Chenhao Xue, Evangeline F. Y. Young, Bei Yu, Mingxuan Yuan, Haoyi Zhang, Zuodong Zhang, Yuxiang Zhao, Hui-Ling Zhen, Ziyang Zheng, Binwu Zhu, Keren Zhu, Sunan Zou
The Dawn of AI-Native EDA: Promises and Challenges of Large Circuit Models. CoRR (2024)
Cong Li, Zhe Zhou, Yang Wang, Fan Yang, Ting Cao, Mao Yang, Yun Liang, Guangyu Sun
PIM-DL: Expanding the Applicability of Commodity DRAM-PIMs for Deep Learning via Algorithm-System Co-Optimization. ASPLOS (2) (2024)
Lixia Han, Renjie Pan, Zheng Zhou, Hairuo Lu, Yiyang Chen, Haozhang Yang, Peng Huang, Guangyu Sun, Xiaoyan Liu, Jinfeng Kang
CoMN: Algorithm-Hardware Co-Design Platform for Nonvolatile Memory-Based Convolutional Neural Network Accelerators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43 (7) (2024)
Jingchen Zhu, Chenhao Xue, Yiqi Chen, Zhao Wang, Guangyu Sun
Theseus: Towards High-Efficiency Wafer-Scale Chip Design Space Exploration for Large Language Models. CoRR (2024)
Yuda An, Yunxiao Tang, Shushu Yi, Li Peng, Xiurui Pan, Guangyu Sun, Zhaochu Luo, Qiao Li, Jie Zhang
StreamPIM: Streaming Matrix Computation in Racetrack Memory. HPCA (2024)
An Guo, Xi Chen, Fangyuan Dong, Jinwu Chen, Zhihang Yuan, Xing Hu, Yuanpeng Zhang, Jingmin Zhang, Yuchen Tang, Zhican Zhang, Gang Chen, Dawei Yang, Zhaoyang Zhang, Lizheng Ren, Tianzhu Xiong, Bo Wang, Bo Liu, Weiwei Shan, Xinning Liu, Hao Cai, Guangyu Sun, Jun Yang, Xin Si
34.3 A 22nm 64kb Lightning-Like Hybrid Computing-in-Memory Macro with a Compressed Adder Tree and Analog-Storage Quantizers for Transformer and CNNs. ISSCC (2024)
Chenguang Zhang, Zhihang Yuan, Xingchen Li, Guangyu Sun
Algorithm-hardware co-design for Energy-Efficient A/D conversion in ReRAM-based accelerators. CoRR (2024)
Zhe Zhou, Yiqi Chen, Tao Zhang, Yang Wang, Ran Shu, Shuotao Xu, Peng Cheng, Lei Qu, Yongqiang Xiong, Guangyu Sun
Toward CXL-Native Memory Tiering via Device-Side Profiling. CoRR (2024)
Cong Li, Zhe Zhou, Size Zheng, Jiaxi Zhang, Yun Liang, Guangyu Sun
SpecPIM: Accelerating Speculative Inference on PIM-Enabled System via Architecture-Dataflow Co-Exploration. ASPLOS (3) (2024)
Zhe Zhou, Cong Li, Fan Yang, Guangyu Sun
DIMM-Link: Enabling Efficient Inter-DIMM Communication for Near-Memory Processing. HPCA (2023)
Zhihang Yuan, Yuzhang Shang, Yue Song, Qiang Wu, Yan Yan, Guangyu Sun
ASVD: Activation-aware Singular Value Decomposition for Compressing Large Language Models. CoRR (2023)
Zhihang Yuan, Lin Niu, Jiawei Liu, Wenyu Liu, Xinggang Wang, Yuzhang Shang, Guangyu Sun, Qiang Wu, Jiaxiang Wu, Bingzhe Wu
RPTQ: Reorder-based Post-training Quantization for Large Language Models. CoRR (2023)
Zhihang Yuan, Jiawei Liu, Jiaxiang Wu, Dawei Yang, Qiang Wu, Guangyu Sun, Wenyu Liu, Xinggang Wang, Bingzhe Wu
Benchmarking the Reliability of Post-training Quantization: a Particular Focus on Worst-case Performance. CoRR (2023)
Qiankun Wang, Xingchen Li, Bingzhe Wu, Ke Yang, Wei Hu, Guangyu Sun, Yuchao Yang
COPPER: a combinatorial optimization problem solver with processing-in-memory architecture. Frontiers Inf. Technol. Electron. Eng. 24 (5) (2023)
Zhe Zhou, Junlin Liu, Zhenyu Gu, Guangyu Sun
Energon: Toward Efficient Acceleration of Transformers Using Dynamic Sparse Attention. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (1) (2023)
Chen Zhang, Guangyu Sun, Zhenman Fang, Peipei Zhou, Jason Cong
Caffeine: Towards Uniformed Representation and Acceleration for Deep Convolutional Neural Networks. ACM TUR-C (2023)
Zhe Zhou, Shuotao Xu, Yiqi Chen, Tao Zhang, Ran Shu, Lei Qu, Peng Cheng, Yongqiang Xiong, Guangyu Sun
Polaris: Enhancing CXL-based Memory Expanders with Memory-side Prefetching. APPT (2023)
Size Zheng, Siyuan Chen, Siyuan Gao, Liancheng Jia, Guangyu Sun, Runsheng Wang, Yun Liang
TileFlow: A Framework for Modeling Fusion Dataflow via Tree-based Analysis. MICRO (2023)
Cong Li, Zhe Zhou, Xingchen Li, Guangyu Sun, Dimin Niu
NMExplorer: An Efficient Exploration Framework for DIMM-based Near-Memory Tensor Reduction. DAC (2023)
Xiaoyang Wang, Zhe Zhou, Zhihang Yuan, Jingchen Zhu, Yulong Cao, Yao Zhang, Kangrui Sun, Guangyu Sun
FD-CNN: A Frequency-Domain FPGA Acceleration Scheme for CNN-Based Image-Processing Applications. ACM Trans. Embed. Comput. Syst. 22 (6) (2023)
Xingchen Li, Zhihang Yuan, Yijin Guan, Guangyu Sun, Tao Zhang, Rongshan Wei, Dimin Niu
Flatfish: A Reinforcement Learning Approach for Application-Aware Address Mapping. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (11) (2022)
Yizeng Han, Zhihang Yuan, Yifan Pu, Chenhao Xue, Shiji Song, Guangyu Sun, Gao Huang
Latency-aware Spatial-wise Dynamic Networks. CoRR (2022)
Zhe Zhou, Cong Li, Xuechao Wei, Xiaoyang Wang, Guangyu Sun
GNNear: Accelerating Full-Batch Training of Graph Neural Networks with near-Memory Processing. PACT (2022)
Chenren Xu, Shuang Jiang, Guojie Luo, Guangyu Sun, Ning An, Gang Huang, Xuanzhe Liu
The Case for FPGA-Based Edge Computing. IEEE Trans. Mob. Comput. 21 (7) (2022)
Xingchen Li, Zhihang Yuan, Guangyu Sun, Liang Zhao, Zhichao Lu
Tailor: removing redundant operations in memristive analog neural network accelerators. DAC (2022)
Bingzhe Wu, Jintang Li, Junchi Yu, Yatao Bian, Hengtong Zhang, Chaochao Chen, Chengbin Hou, Guoji Fu, Liang Chen, Tingyang Xu, Yu Rong, Xiaolin Zheng, Junzhou Huang, Ran He, Baoyuan Wu, Guangyu Sun, Peng Cui, Zibin Zheng, Zhe Liu, Peilin Zhao
A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection. CoRR (2022)
Xingchen Li, Bingzhe Wu, Guangyu Sun, Zhe Zhang, Zhihang Yuan, Runsheng Wang, Ru Huang, Dimin Niu, Hongzhong Zheng, Zhichao Lu, Liang Zhao, Meng-Fan Marvin Chang, Tianchan Guan, Xin Si
Enabling High-Quality Uncertainty Quantification in a PIM Designed for Bayesian Neural Network. HPCA (2022)
Xin Liu, Mingyu Yan, Shuhan Song, Zhengyang Lv, Wenming Li, Guangyu Sun, Xiaochun Ye, Dongrui Fan
GNNSampler: Bridging the Gap Between Sampling Algorithms of GNN and Hardware. ECML/PKDD (5) (2022)
Qilin Zheng, Xingchen Li, Yijin Guan, Zongwei Wang, Yimao Cai, Yiran Chen, Guangyu Sun, Ru Huang
PIMulator-NN: An Event-Driven, Cross-Level Simulation Framework for Processing-In-Memory-Based Neural Network Accelerators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (12) (2022)
Zhihang Yuan, Chenhao Xue, Yiqi Chen, Qiang Wu, Guangyu Sun
PTQ4ViT: Post-training Quantization for Vision Transformers with Twin Uniform Quantization. ECCV (12) (2022)
Ying Liu, Zhixuan Wang, Wei He, Linxiao Shen, Yihan Zhang, Peiyu Chen, Meng Wu, Hao Zhang, Peng Zhou, Jinguang Liu, Guangyu Sun, Jiayoon Ru, Le Ye, Ru Huang
An 82nW 0.53pJ/SOP Clock-Free Spiking Neural Network with 40µs Latency for AloT Wake-Up Functions Using Ultimate-Event-Driven Bionic Architecture and Computing-in-Memory Technique. ISSCC (2022)
Xiuping Cui, Xiaochen Hao, Yun Liang, Guangyu Sun, Xiaoxin Cui, Yuan Wang, Ru Huang
A Mapping Model of SNNs to Neuromorphic Hardware. AICAS (2022)
Zhe Zhou, Junlin Liu, Zhenyu Gu, Guangyu Sun
Energon: Towards Efficient Acceleration of Transformers Using Dynamic Sparse Attention. CoRR (2021)
Zihan Zheng, Peichen Xie, Xian Zhang, Shuo Chen, Yang Chen, Xiaobing Guo, Guangzhong Sun, Guangyu Sun, Lidong Zhou
Agatha: Smart Contract for DNN Computation. CoRR (2021)
Zhihang Yuan, Chenhao Xue, Yiqi Chen, Qiang Wu, Guangyu Sun
PTQ4ViT: Post-Training Quantization Framework for Vision Transformers. CoRR (2021)
Spencer Nelson, Sang Yun Kim, Jia Di, Zhe Zhou, Zhihang Yuan, Guangyu Sun
Reconfigurable ASIC Implementation of Asynchronous Recurrent Neural Networks. ASYNC (2021)
Zhihang Yuan, Jingze Liu, Xingchen Li, Longhao Yan, Haoxiang Chen, Bingzhe Wu, Yuchao Yang, Guangyu Sun
NAS4RRAM: neural network architecture search for inference on RRAM-based accelerators. Sci. China Inf. Sci. 64 (6) (2021)
Zhe Zhou, Bizhao Shi, Zhe Zhang, Yijin Guan, Guangyu Sun, Guojie Luo
BlockGNN: Towards Efficient GNN Acceleration Using Block-Circulant Weight Matrices. CoRR (2021)
Zhihang Yuan, Yiqi Chen, Chenhao Xue, Chenguang Zhang, Qiankun Wang, Guangyu Sun
PTQ-SL: Exploring the Sub-layerwise Post-training Quantization. CoRR (2021)
Feng Wang, Guangyu Sun, Guojie Luo
SSR: A Skeleton-based Synthesis Flow for Hybrid Processing-in-RRAM Modes. ICCAD (2021)
Ye Zhang, Shuo Wang, Xian Zhang, Jiangbin Dong, Xingzhong Mao, Fan Long, Cong Wang, Dong Zhou, Mingyu Gao, Guangyu Sun
PipeZK: Accelerating Zero-Knowledge Proof with a Pipelined Architecture. ISCA (2021)
Xin Liu, Mingyu Yan, Shuhan Song, Zhengyang Lv, Wenming Li, Guangyu Sun, Xiaochun Ye, Dongrui Fan
GNNSampler: Bridging the Gap between Sampling Algorithms of GNN and Hardware. CoRR (2021)
Zhe Zhou, Cong Li, Xuechao Wei, Guangyu Sun
GCNear: A Hybrid Architecture for Efficient GCN Training with Near-Memory Processing. CoRR (2021)
Feng Wang, Guojie Luo, Guangyu Sun, Jiaxi Zhang, Jinfeng Kang, Yuhao Wang, Dimin Niu, Hongzhong Zheng
STAR: Synthesis of Stateful Logic in RRAM Targeting High Area Utilization. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40 (5) (2021)
Zhe Zhou, Bizhao Shi, Zhe Zhang, Yijin Guan, Guangyu Sun, Guojie Luo
BlockGNN: Towards Efficient GNN Acceleration Using Block-Circulant Weight Matrices. DAC (2021)
Zhao Wang, Guangyu Sun, Jingchen Zhu, Zhe Zhou, Yijiang Guo, Zhihang Yuan
METRO: A Software-Hardware Co-Design of Interconnections for Spatial DNN Accelerators. CoRR (2021)
Bingzhe Wu, Chaochao Chen, Shiwan Zhao, Cen Chen, Yuan Yao, Guangyu Sun, Li Wang, Xiaolu Zhang, Jun Zhou
Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics. AAAI (2020)
Zhihang Yuan, Bingzhe Wu, Guangyu Sun, Zheng Liang, Shiwan Zhao, Weichen Bi
S2DNAS: Transforming Static CNN Model for Dynamic Inference via Neural Architecture Search. ECCV (2) (2020)
Yijin Guan, Guangyu Sun, Zhihang Yuan, Xingchen Li, Ningyi Xu, Shu Chen, Jason Cong, Yuan Xie
Crane: Mitigating Accelerator Under-utilization Caused by Sparsity Irregularities in CNNs. IEEE Trans. Computers 69 (7) (2020)
Zhao Wang, Yijin Guan, Guangyu Sun, Dimin Niu, Yuhao Wang, Hongzhong Zheng, Yinhe Han
GNN-PIM: A Processing-in-Memory Architecture for Graph Neural Networks. ACA (2020)
Xiaoyang Wang, Zhe Zhou, Ping Han, Tong Meng, Guangyu Sun, Jidong Zhai
Edge-Stream: a Stream Processing Approach for Distributed Applications on a Hierarchical Edge-computing System. SEC (2020)
Zhe Zhou, Xintong Li, Xiaoyang Wang, Zheng Liang, Guangyu Sun, Guojie Luo
Hardware-assisted Service Live Migration in Resource-limited Edge Computing Systems. DAC (2020)
Yuncong Zhang, Xiaoyang Wang, Cong Wang, Yao Xu, Jian-Wei Zhang, Xiaodong Lin, Guangyu Sun, Gong-Lin Zheng, Shan-Hui Yin, Xian-Jin Ye, Li Li, Zhan Song, Dong-Dong Miao
Bigflow: A General Optimization Layer for Distributed Computing Frameworks. J. Comput. Sci. Technol. 35 (2) (2020)
Zhihang Yuan, Xin Liu, Bingzhe Wu, Guangyu Sun
ENAS4D: Efficient Multi-stage CNN Architecture Search for Dynamic Inference. CoRR (2020)
Zhe Zhou, Bingzhe Wu, Zheng Liang, Guangyu Sun, Chenren Xu, Guojie Luo
SaFace: Towards Scenario-aware Face Recognition via Edge Computing System. HotEdge (2020)
Jingchen Zhu, Guangyu Sun, Xian Zhang, Chao Zhang, Weiqi Zhang, Yun Liang, Tao Wang, Yiran Chen, Jia Di
Fork Path: Batching ORAM Requests to Remove Redundant Memory Accesses. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (10) (2020)
Peichen Xie, Xuanle Ren, Guangyu Sun
Customizing Trusted AI Accelerators for Efficient Privacy-Preserving Machine Learning. CoRR (2020)
Bingzhe Wu, Shiwan Zhao, Guangyu Sun, Xiaolu Zhang, Zhong Su, Caihong Zeng, Zhihong Liu
P3SGD: Patient Privacy Preserving SGD for Regularizing Deep CNNs in Pathological Image Classification. CoRR (2019)
Guohao Dai, Tianhao Huang, Yuze Chi, Jishen Zhao, Guangyu Sun, Yongpan Liu, Yu Wang, Yuan Xie, Huazhong Yang
GraphH: A Processing-in-Memory Architecture for Large-Scale Graph Processing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38 (4) (2019)
Chao Yao, Xiaoyang Wang, Zijie Zheng, Guangyu Sun, Lingyang Song
EdgeFlow: Open-Source Multi-layer Data Flow Processing in Edge Computing for 5G and Beyond. IEEE Netw. 33 (2) (2019)
Bingzhe Wu, Shiwan Zhao, Haoyang Xu, Chaochao Chen, Li Wang, Xiaolu Zhang, Guangyu Sun, Jun Zhou
Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection. CoRR (2019)
Zhe Zhou, Xintong Li, Guangyu Sun
Accelerate service live migration in resource-limited edge computing systems. SEC (2019)
Peichen Xie, Bingzhe Wu, Guangyu Sun
BAYHENN: Combining Bayesian Deep Learning and Homomorphic Encryption for Secure DNN Inference. CoRR (2019)
Bingzhe Wu, Chaochao Chen, Shiwan Zhao, Cen Chen, Yuan Yao, Guangyu Sun, Li Wang, Xiaolu Zhang, Jun Zhou
Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics. CoRR (2019)
Bingzhe Wu, Shiwan Zhao, Guangyu Sun, Xiaolu Zhang, Zhong Su, Caihong Zeng, Zhihong Liu
P3SGD: Patient Privacy Preserving SGD for Regularizing Deep CNNs in Pathological Image Classification. CVPR (2019)
Peichen Xie, Bingzhe Wu, Guangyu Sun
BAYHENN: Combining Bayesian Deep Learning and Homomorphic Encryption for Secure DNN Inference. IJCAI (2019)
Shuo Li, Nong Xiao, Peng Wang, Guangyu Sun, Xiaoyang Wang, Yiran Chen, Hai Helen Li, Jason Cong, Tao Zhang
RC-NVM: Dual-Addressing Non-Volatile Memory Architecture Supporting Both Row and Column Memory Accesses. IEEE Trans. Computers 68 (2) (2019)
Feng Wang, Guojie Luo, Guangyu Sun, Jiaxi Zhang, Peng Huang, Jinfeng Kang
Parallel Stateful Logic in RRAM: Theoretical Analysis and Arithmetic Design. ASAP (2019)
Bingzhe Wu, Shiwan Zhao, Chaochao Chen, Haoyang Xu, Li Wang, Xiaolu Zhang, Guangyu Sun, Jun Zhou
Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection. NeurIPS (2019)
Bingzhe Wu, Xiaolu Zhang, Shiwan Zhao, Lingxi Xie, Caihong Zeng, Zhihong Liu, Guangyu Sun
G2C: A Generator-to-Classifier Framework Integrating Multi-Stained Visual Cues for Pathological Glomerulus Classification. AAAI (2019)
Zheng Liang, Guangyu Sun, Wang Kang, Xing Chen, Weisheng Zhao
ZUMA: Enabling Direct Insertion/Deletion Operations with Emerging Skyrmion Racetrack Memory. DAC (2019)
Zhihang Yuan, Bingzhe Wu, Zheng Liang, Shiwan Zhao, Weichen Bi, Guangyu Sun
S2DNAS: Transforming Static CNN Model for Dynamic Inference via Neural Architecture Search. CoRR (2019)
Chao Yao, Xiaoyang Wang, Zijie Zheng, Guangyu Sun, Lingyang Song
EdgeFlow: Open-Source Multi-layer Data Flow Processing in Edge Computing for 5G and Beyond. CoRR (2018)
Peng Wang, Shuo Li, Guangyu Sun, Xiaoyang Wang, Yiran Chen, Hai Li, Jason Cong, Nong Xiao, Tao Zhang
RC-NVM: Enabling Symmetric Row and Column Memory Accesses for In-memory Databases. HPCA (2018)
Xiaolong Xie, Yun Liang, Xiuhong Li, Yudong Wu, Guangyu Sun, Tao Wang, Dongrui Fan
CRAT: Enabling Coordinated Register Allocation and Thread-Level Parallelism Optimization for GPUs. IEEE Trans. Computers 67 (6) (2018)
Yun Liang, Xiaolong Xie, Yu Wang, Guangyu Sun, Tao Wang
Optimizing Cache Bypassing and Warp Scheduling for GPUs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37 (8) (2018)
Bingzhe Wu, Xiaolu Zhang, Shiwan Zhao, Lingxi Xie, Caihong Zeng, Zhihong Liu, Guangyu Sun
G2C: A Generator-to-Classifier Framework Integrating Multi-Stained Visual Cues for Pathological Glomerulus Classification. CoRR (2018)
Peichen Xie, Guangyu Sun, Feng Wang, Guojie Luo
V-PIM: An Analytical Overhead Model for Processing-in-Memory Architectures. NVMSA (2018)
Chao Zhang, Tong Meng, Guangyu Sun
PM3: Power Modeling and Power Management for Processing-in-Memory. HPCA (2018)
Xian Zhang, Guangyu Sun, Peichen Xie, Chao Zhang, Yannan Liu, Lingxiao Wei, Qiang Xu, Chun Jason Xue
Shadow Block: Accelerating ORAM Accesses with Data Duplication. MICRO (2018)
Yongpan Liu, Jinshan Yue, Hehe Li, Qinghang Zhao, Mengying Zhao, Chun Jason Xue, Guangyu Sun, Meng-Fan Chang, Huazhong Yang
Data Backup Optimization for Nonvolatile SRAM in Energy Harvesting Sensor Nodes. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 36 (10) (2017)
Wang Kang, Liang Chang, Zhaohao Wang, Weifeng Lv, Guangyu Sun, Weisheng Zhao
Pseudo-Differential Sensing Framework for STT-MRAM: A Cross-Layer Perspective. IEEE Trans. Computers 66 (3) (2017)
Xian Zhang, Guangyu Sun
Toss-up Wear Leveling: Protecting Phase-Change Memories from Inconsistent Write Patterns. DAC (2017)
Bingzhe Wu, Haodong Duan, Zhichao Liu, Guangyu Sun
SRPGAN: Perceptual Generative Adversarial Network for Single Image Super Resolution. CoRR (2017)
Shuo Li, Peng Wang, Nong Xiao, Guangyu Sun, Fang Liu
SPMS: Strand based persistent memory system. DATE (2017)
Yijin Guan, Hao Liang, Ningyi Xu, Wenqiang Wang, Shaoshuai Shi, Xi Chen, Guangyu Sun, Wei Zhang, Jason Cong
FP-DNN: An Automated Framework for Mapping Deep Neural Networks onto FPGAs with RTL-HLS Hybrid Templates. FCCM (2017)
Haiyu Mao, Xian Zhang, Guangyu Sun, Jiwu Shu
Protect non-volatile memory from wear-out attack based on timing difference of row buffer hit/miss. DATE (2017)
Yijin Guan, Zhihang Yuan, Guangyu Sun, Jason Cong
FPGA-based accelerator for long short-term memory recurrent neural networks. ASP-DAC (2017)
Bingzhe Wu, Zhichao Liu, Zhihang Yuan, Guangyu Sun, Charles Wu
Reducing Overfitting in Deep Convolutional Neural Networks Using Redundancy Regularizer. ICANN (2) (2017)
Yue Zhang, Chao Zhang, Jiang Nan, Zhizhong Zhang, Xueying Zhang, Jacques-Olivier Klein, Dafine Ravelosona, Guangyu Sun, Weisheng Zhao
Perspectives of Racetrack Memory for Large-Capacity On-Chip Memory: From Device to System. IEEE Trans. Circuits Syst. I Regul. Pap. (5) (2016)
Hongbin Zhang, Chao Zhang, Xian Zhang, Guangyu Sun, Jiwu Shu
Pin Tumbler Lock: A shift based encryption mechanism for racetrack memory. ASP-DAC (2016)
Xian Zhang, Guangyu Sun, Yaojun Zhang, Yiran Chen, Hai Li, Wujie Wen, Jia Di
A novel PUF based on cell error rate distribution of STT-RAM. ASP-DAC (2016)
Qingda Hu, Guangyu Sun, Jiwu Shu, Chao Zhang
Exploring Main Memory Design Based on Racetrack Memory Technology. ACM Great Lakes Symposium on VLSI (2016)
Wang Kang, Tingting Pang, Bi Wu, Weifeng Lv, Youguang Zhang, Guangyu Sun, Weisheng Zhao
PDS: pseudo-differential sensing scheme for STT-MRAM. DAC (2016)
Chaofei Yang, Beiye Liu, Yandan Wang, Yiran Chen, Hai Li, Xian Zhang, Guangyu Sun
The Applications of NVM Technology in Hardware Security. ACM Great Lakes Symposium on VLSI (2016)
Weiqi Zhang, Chao Zhang, Guangyu Sun
Accelerate context switch by racetrack-SRAM hybrid cells. NANOARCH (2016)
Shuo Wang, Yun Liang, Chao Zhang, Xiaolong Xie, Guangyu Sun, Yongpan Liu, Yu Wang, Xiuhong Li
Performance-centric register file design for GPUs using racetrack memory. ASP-DAC (2016)

Guangyu Sun.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Guangyu Sun