Yuan Xie

ORCID

Publication Activity (10 Years)

Years Active: 2000-2023
Publications (10 Years): 298

Top Venues

CoRR

DAC

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

MICRO

Publications

Yiqi Wang, Fengbin Tu, Leibo Liu, Shaojun Wei, Yuan Xie, Shouyi Yin
SPCIM: Sparsity-Balanced Practical CIM Accelerator With Optimized Spatial-Temporal Multi-Macro Utilization. IEEE Trans. Circuits Syst. I Regul. Pap. 70 (1) (2023)
Ling Liang, Jilan Lin, Zheng Qu, Ishtiyaque Ahmad, Fengbin Tu, Trinabh Gupta, Yufei Ding, Yuan Xie
SPG: Structure-Private Graph Database via SqueezePIR. Proc. VLDB Endow. 16 (7) (2023)
Nan Wu, Yuan Xie
A Survey of Machine Learning for Computer Architecture and Systems. ACM Comput. Surv. 55 (3) (2023)
Chen Bai, Xuechao Wei, Youwei Zhuo, Yi Cai, Hongzhong Zheng, Bei Yu, Yuan Xie
Klotski: DNN Model Orchestration Framework for Dataflow Architecture Accelerators. ICCAD (2023)
Fengbin Tu, Yiqi Wang, Ling Liang, Yufei Ding, Leibo Liu, Shaojun Wei, Shouyi Yin, Yuan Xie
SDP: Co-Designing Algorithm, Dataflow, and Architecture for In-SRAM Sparse NN Acceleration. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (1) (2023)
Nan Wu, Yingjie Li, Cong Hao, Steve Dai, Cunxi Yu, Yuan Xie
Gamora: Graph Learning based Symbolic Reasoning for Large-Scale Boolean Networks. CoRR (2023)
Bizhao Shi, Jiaxi Zhang, Zhuolun He, Xuechao Wei, Sicheng Li, Guojie Luo, Hongzhong Zheng, Yuan Xie
Efficient Super-Resolution System With Block-Wise Hybridization and Quantized Winograd on FPGA. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (11) (2023)
Fengbin Tu, Yiqi Wang, Zihan Wu, Ling Liang, Yufei Ding, Bongjin Kim, Leibo Liu, Shaojun Wei, Yuan Xie, Shouyi Yin
ReDCIM: Reconfigurable Digital Computing- In -Memory Processor With Unified FP/INT Pipeline for Cloud AI Acceleration. IEEE J. Solid State Circuits 58 (1) (2023)
Lei Deng, Yujie Wu, Yifan Hu, Ling Liang, Guoqi Li, Xing Hu, Yufei Ding, Peng Li, Yuan Xie
Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization. IEEE Trans. Neural Networks Learn. Syst. 34 (6) (2023)
Xuanle Ren, Zhaohui Chen, Zhen Gu, Yanheng Lu, Ruiguang Zhong, Wen-Jie Lu, Jiansong Zhang, Yichi Zhang, Hanghang Wu, Xiaofu Zheng, Heng Liu, Tingqiang Chu, Cheng Hong, Changzheng Wei, Dimin Niu, Yuan Xie
CHAM: A Customized Homomorphic Encryption Accelerator for Fast Matrix-Vector Product. DAC (2023)
Haiyang Lin, Mingyu Yan, Xiaochun Ye, Dongrui Fan, Shirui Pan, Wenguang Chen, Yuan Xie
A Comprehensive Survey on Distributed Training of Graph Neural Networks. Proc. IEEE 111 (12) (2023)
Zhenhua Zhu, Hanbo Sun, Tongxin Xie, Yu Zhu, Guohao Dai, Lixue Xia, Dimin Niu, Xiaoming Chen, Xiaobo Sharon Hu, Yu Cao, Yuan Xie, Huazhong Yang, Yu Wang
MNSIM 2.0: A Behavior-Level Modeling Tool for Processing-In-Memory Architectures. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (11) (2023)
Nan Wu, Yingjie Li, Cong Hao, Steve Dai, Cunxi Yu, Yuan Xie
Gamora: Graph Learning based Symbolic Reasoning for Large-Scale Boolean Networks. DAC (2023)
Guiming Wu, Qianwen He, Jiali Jiang, Zhenxiang Zhang, Yunfeng Shi, Xin Long, Linquan Jiang, Shuangchen Li, Yuan Xie, Changzheng Wei, Yuan Zhao, Ying Yan, Hui Zhang, Yinchao Zou
E-Booster: A Field-Programmable Gate Array-Based Accelerator for Secure Tree Boosting Using Additively Homomorphic Encryption. IEEE Micro 43 (5) (2023)
Ling Liang, Xing Hu, Lei Deng, Yujie Wu, Guoqi Li, Yufei Ding, Peng Li, Yuan Xie
Exploring Adversarial Attack in Spiking Neural Networks With Spike-Compatible Gradient. IEEE Trans. Neural Networks Learn. Syst. 34 (5) (2023)
Yuanwei Fang, Zihao Liu, Yanheng Lu, Jiawei Liu, Jiajie Li, Yi Jin, Jian Chen, Yenkuang Chen, Hongzhong Zheng, Yuan Xie
NPS: A Framework for Accurate Program Sampling Using Graph Neural Network. CoRR (2023)
Yanhong Wang, Tianchan Guan, Dimin Niu, Qiaosha Zou, Hongzhong Zheng, C.-J. Richard Shi, Yuan Xie
Accelerating Distributed GNN Training by Codes. IEEE Trans. Parallel Distributed Syst. 34 (9) (2023)
Siqi Li, Fengbin Tu, Liu Liu, Jilan Lin, Zheng Wang, Yangwook Kang, Yufei Ding, Yuan Xie
ECSSD: Hardware/Data Layout Co-Designed In-Storage-Computing Architecture for Extreme Classification. ISCA (2023)
Ao Ren, Yuhao Wang, Tao Zhang, Jiaxing Shi, Duo Liu, Xianzhang Chen, Yujuan Tan, Yuan Xie
HBP: Hierarchically Balanced Pruning and Accelerator Co-Design for Efficient DNN Inference. DAC (2023)
Chen Bai, Jiayi Huang, Xuechao Wei, Yuzhe Ma, Sicheng Li, Hongzhong Zheng, Bei Yu, Yuan Xie
ArchExplorer: Microarchitecture Exploration Via Bottleneck Analysis. MICRO (2023)
Nan Wu, Yuan Xie, Cong Hao
IronMan-Pro: Multiobjective Design Space Exploration in HLS via Reinforcement Learning and Graph Neural Network-Based Modeling. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (3) (2023)
Zhaodong Chen, Zheng Qu, Yuying Quan, Liu Liu, Yufei Ding, Yuan Xie
Dynamic N: M Fine-Grained Structured Sparse Attention Mechanism. PPoPP (2023)
Fengbin Tu, Zihan Wu, Yiqi Wang, Ling Liang, Liu Liu, Yufei Ding, Leibo Liu, Shaojun Wei, Yuan Xie, Shouyi Yin
TranCIM: Full-Digital Bitline-Transpose CIM-based Sparse Transformer Accelerator With Pipeline/Parallel Reconfigurable Modes. IEEE J. Solid State Circuits 58 (6) (2023)
Jianyu Xu, Hanwen Zhang, Ling Liang, Lei Deng, Yuan Xie, Guoqi Li
NP-Hardness of Tensor Network Contraction Ordering. CoRR (2023)
Linyong Huang, Zhe Zhang, Shuangchen Li, Dimin Niu, Yijin Guan, Hongzhong Zheng, Yuan Xie
Practical Near-Data-Processing Architecture for Large-Scale Distributed Graph Neural Network. IEEE Access 10 (2022)
Zhaoyang Du, Yijin Guan, Tianchan Guan, Dimin Niu, Hongzhong Zheng, Yuan Xie
Accelerating CPU-Based Sparse General Matrix Multiplication With Binary Row Merging. IEEE Access 10 (2022)
Gongjian Sun, Mingyu Yan, Duo Wang, Han Li, Wenming Li, Xiaochun Ye, Dongrui Fan, Yuan Xie
Multi-node Acceleration for Large-scale GCNs. CoRR (2022)
Yuke Wang, Boyuan Feng, Gushu Li, Lei Deng, Yuan Xie, Yufei Ding
STPAcc: Structural TI-Based Pruning for Accelerating Distance-Related Algorithms on CPU-FPGA Platforms. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (5) (2022)
Xin Liu, Mingyu Yan, Lei Deng, Guoqi Li, Xiaochun Ye, Dongrui Fan, Shirui Pan, Yuan Xie
Survey on Graph Neural Network Acceleration: An Algorithmic Perspective. IJCAI (2022)
Haiyang Lin, Mingyu Yan, Duo Wang, Mo Zou, Fengbin Tu, Xiaochun Ye, Dongrui Fan, Yuan Xie
Alleviating datapath conflicts and design centralization in graph analytics acceleration. DAC (2022)
Zheng Qu, Liu Liu, Fengbin Tu, Zhaodong Chen, Yufei Ding, Yuan Xie
DOTA: detect and omit weak attentions for scalable transformer acceleration. ASPLOS (2022)
Ling Liang, Kaidi Xu, Xing Hu, Lei Deng, Yuan Xie
Toward Robust Spiking Neural Network Against Adversarial Perturbation. NeurIPS (2022)
Guyue Huang, Haoran Li, Minghai Qin, Fei Sun, Yufei Ding, Yuan Xie
Shfl-BW: Accelerating Deep Neural Network Inference with Tensor-Core Aware Weight Pruning. CoRR (2022)
Wenqin Huangfu, Krishna T. Malladi, Andrew Chang, Yuan Xie
BEACON: Scalable Near-Data-Processing Accelerators for Genome Analysis near Memory Pool with the CXL Support. MICRO (2022)
Guohao Dai, Guyue Huang, Shang Yang, Zhongming Yu, Hengrui Zhang, Yufei Ding, Yuan Xie, Huazhong Yang, Yu Wang
Heuristic adaptability to input dynamics for SpMM on CPUs. DAC (2022)
Xuanle Ren, Le Su, Zhen Gu, Sheng Wang, Feifei Li, Yuan Xie, Song Bian, Chao Li, Fan Zhang
HEDA: Multi-Attribute Unbounded Aggregation over Homomorphically Encrypted Database. Proc. VLDB Endow. 16 (4) (2022)
Liu Liu, Zheng Qu, Zhaodong Chen, Fengbin Tu, Yufei Ding, Yuan Xie
Dynamic Sparse Attention for Scalable Transformer Acceleration. IEEE Trans. Computers 71 (12) (2022)
Mingyu Yan, Mo Zou, Xiaocheng Yang, Wenming Li, Xiaochun Ye, Dongrui Fan, Yuan Xie
Characterizing and Understanding HGNNs on GPUs. CoRR (2022)
Fengbin Tu, Yiqi Wang, Zihan Wu, Ling Liang, Yufei Ding, Bongjin Kim, Leibo Liu, Shaojun Wei, Yuan Xie, Shouyi Yin
A 28nm 29.2TFLOPS/W BF16 and 36.5TOPS/W INT8 Reconfigurable Digital CIM Processor with Unified FP/INT Pipeline and Bitwise In-Memory Booth Multiplication for Cloud Deep Learning Acceleration. ISSCC (2022)
Ling Liang, Zheng Qu, Zhaodong Chen, Fengbin Tu, Yujie Wu, Lei Deng, Guoqi Li, Peng Li, Yuan Xie
H2Learn: High-Efficiency Learning Accelerator for High-Accuracy Spiking Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (11) (2022)
Shuangchen Li, Dimin Niu, Yuhao Wang, Wei Han, Zhe Zhang, Tianchan Guan, Yijin Guan, Heng Liu, Linyong Huang, Zhaoyang Du, Fei Xue, Yuanwei Fang, Hongzhong Zheng, Yuan Xie
Hyperscale FPGA-as-a-service architecture for large-scale distributed graph neural network. ISCA (2022)
Gongjian Sun, Mingyu Yan, Duo Wang, Han Li, Wenming Li, Xiaochun Ye, Dongrui Fan, Yuan Xie
Multi-Node Acceleration for Large-Scale GCNs. IEEE Trans. Computers 71 (12) (2022)
Jilan Lin, Ling Liang, Zheng Qu, Ishtiyaque Ahmad, Liu Liu, Fengbin Tu, Trinabh Gupta, Yufei Ding, Yuan Xie
INSPIRE: in-storage private information retrieval via protocol and architecture co-design. ISCA (2022)
Anbang Wu, Hezi Zhang, Gushu Li, Alireza Shabani, Yuan Xie, Yufei Ding
AutoComm: A Framework for Enabling Efficient Communication in Distributed Quantum Programs. MICRO (2022)
Hengrui Zhang, Zhongming Yu, Guohao Dai, Guyue Huang, Yufei Ding, Yuan Xie, Yu Wang
Understanding GNN Computational Graph: A Coordinated Computation, IO, and Memory Perspective. MLSys (2022)
Fengbin Tu, Zihan Wu, Yiqi Wang, Ling Liang, Liu Liu, Yufei Ding, Leibo Liu, Shaojun Wei, Yuan Xie, Shouyi Yin
A 28nm 15.59µJ/Token Full-Digital Bitline-Transpose CIM-Based Sparse Transformer Accelerator with Pipeline/Parallel Reconfigurable Modes. ISSCC (2022)
Guyue Huang, Haoran Li, Minghai Qin, Fei Sun, Yufei Ding, Yuan Xie
Shfl-BW: accelerating deep neural network inference with tensor-core aware weight pruning. DAC (2022)
Xin Liu, Mingyu Yan, Lei Deng, Guoqi Li, Xiaochun Ye, Dongrui Fan, Shirui Pan, Yuan Xie
Survey on Graph Neural Network Acceleration: An Algorithmic Perspective. CoRR (2022)
Anbang Wu, Gushu Li, Hezi Zhang, Gian Giacomo Guerreschi, Yufei Ding, Yuan Xie
A synthesis framework for stitching surface code with superconducting quantum devices. ISCA (2022)
Zhaoyang Du, Yijin Guan, Tianchan Guan, Dimin Niu, Hongzhong Zheng, Yuan Xie
Accelerating CPU-based Sparse General Matrix Multiplication with Binary Row Merging. CoRR (2022)
Zheng Qu, Lei Deng, Bangyan Wang, Hengnu Chen, Jilan Lin, Ling Liang, Guoqi Li, Zheng Zhang, Yuan Xie
Hardware-Enabled Efficient Data Processing With Tensor-Train Decomposition. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (2) (2022)
Nan Wu, Yuan Xie, Cong Hao
AI-assisted Synthesis in Next Generation EDA: Promises, Challenges, and Prospects. ICCD (2022)
Ling Liang, Zhaodong Chen, Lei Deng, Fengbin Tu, Guoqi Li, Yuan Xie
Accelerating Spatiotemporal Supervised Training of Large-Scale Spiking Neural Networks on GPU. DATE (2022)
Zhaoyang Du, Yijin Guan, Tianchan Guan, Dimin Niu, Linyong Huang, Hongzhong Zheng, Yuan Xie
OpSparse: A Highly Optimized Framework for Sparse General Matrix Multiplication on GPUs. IEEE Access 10 (2022)
Xinfeng Xie, Peng Gu, Jiayi Huang, Yufei Ding, Yuan Xie
MPU-Sim: A Simulator for In-DRAM Near-Bank Processing Architectures. IEEE Comput. Archit. Lett. 21 (1) (2022)
Guohao Dai, Guyue Huang, Shang Yang, Zhongming Yu, Hengrui Zhang, Yufei Ding, Yuan Xie, Huazhong Yang, Yu Wang
Heuristic Adaptability to Input Dynamics for SpMM on GPUs. CoRR (2022)
Zhaodong Chen, Lei Deng, Bangyan Wang, Guoqi Li, Yuan Xie
A Comprehensive and Modularized Statistical Framework for Gradient Norm Equality in Deep Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44 (1) (2022)
Haiyang Lin, Mingyu Yan, Duo Wang, Mo Zou, Fengbin Tu, Xiaochun Ye, Dongrui Fan, Yuan Xie
Alleviating Datapath Conflicts and Design Centralization in Graph Analytics Acceleration. CoRR (2022)
Mingyu Yan, Mo Zou, Xiaocheng Yang, Wenming Li, Xiaochun Ye, Dongrui Fan, Yuan Xie
Characterizing and Understanding HGNNs on GPUs. IEEE Comput. Archit. Lett. 21 (2) (2022)
Boyuan Feng, Tianqi Tang, Yuke Wang, Zhaodong Chen, Zheng Wang, Shu Yang, Yuan Xie, Yufei Ding
Faith: An Efficient Framework for Transformer Verification on GPUs. CoRR (2022)
Boyuan Feng, Tianqi Tang, Yuke Wang, Zhaodong Chen, Zheng Wang, Shu Yang, Yuan Xie, Yufei Ding
Faith: An Efficient Framework for Transformer Verification on GPUs. USENIX Annual Technical Conference (2022)
Bangyan Wang, Lei Deng, Zheng Qu, Shuangchen Li, Zheng Zhang, Yuan Xie
Efficient Processing of Sparse Tensor Decomposition via Unified Abstraction and PE-Interactive Architecture. IEEE Trans. Computers 71 (2) (2022)
Zhaoyang Du, Yijin Guan, Tianchan Guan, Dimin Niu, Nianxiong Tan, Xiaopeng Yu, Hongzhong Zheng, Jianyi Meng, Xiaolang Yan, Yuan Xie
Predicting the Output Structure of Sparse Matrix Multiplication with Sampled Compression Ratio. ICPADS (2022)
Nan Wu, Jiwon Lee, Yuan Xie, Cong Hao
LOSTIN: Logic Optimization via Spatio-Temporal Information with Hybrid Graph Models. ASAP (2022)
Linyong Huang, Zhe Zhang, Zhaoyang Du, Shuangchen Li, Hongzhong Zheng, Yuan Xie, Nianxiong Tan
EPQuant: A Graph Neural Network compression approach based on product quantization. Neurocomputing 503 (2022)
Tianqi Tang, Yuan Xie
Cost-Aware Exploration for Chiplet-Based Architecture with Advanced Packaging Technologies. CoRR (2022)
Dimin Niu, Shuangchen Li, Yuhao Wang, Wei Han, Zhe Zhang, Yijin Guan, Tianchan Guan, Fei Sun, Fei Xue, Lide Duan, Yuanwei Fang, Hongzhong Zheng, Xiping Jiang, Song Wang, Fengguo Zuo, Yubing Wang, Bing Yu, Qiwei Ren, Yuan Xie
3D Logic-to-DRAM Hybrid Bonding with Process-Near-Memory Engine for Recommendation System. ISSCC (2022)
Haiyang Lin, Mingyu Yan, Xiaochun Ye, Dongrui Fan, Shirui Pan, Wenguang Chen, Yuan Xie
A Comprehensive Survey on Distributed Training of Graph Neural Networks. CoRR (2022)
Ling Liang, Kaidi Xu, Xing Hu, Lei Deng, Yuan Xie
Toward Robust Spiking Neural Network Against Adversarial Perturbation. CoRR (2022)
Xiaobing Chen, Yuke Wang, Xinfeng Xie, Xing Hu, Abanti Basak, Ling Liang, Mingyu Yan, Lei Deng, Yufei Ding, Zidong Du, Yuan Xie
Rubik: A Hierarchical Architecture for Efficient Graph Neural Network Training. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (4) (2022)
Xing Hu, Ling Liang, Xiaobing Chen, Lei Deng, Yu Ji, Yufei Ding, Zidong Du, Qi Guo, Timothy Sherwood, Yuan Xie
A Systematic View of Model Leakage Risks in Deep Neural Network Systems. IEEE Trans. Computers 71 (12) (2022)
Minghai Qin, Tianyun Zhang, Fei Sun, Yen-Kuang Chen, Makan Fardad, Yanzhi Wang, Yuan Xie
Compact Multi-level Sparse Neural Networks with Input Independent Dynamic Rerouting. ICTAI (2022)
Han Li, Mingyu Yan, Xiaocheng Yang, Lei Deng, Wenming Li, Xiaochun Ye, Dongrui Fan, Yuan Xie
Hardware Acceleration for GCNs via Bidirectional Fusion. IEEE Comput. Archit. Lett. 20 (1) (2021)
Yuke Wang, Boyuan Feng, Gushu Li, Shuangchen Li, Lei Deng, Yuan Xie, Yufei Ding
GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs. OSDI (2021)
Ing-Chao Lin, Chi-Huan Tang, Chi-Ting Ni, Xing Hu, Yu-Tong Shen, Pei-Yin Chen, Yuan Xie
A Novel, Efficient Implementation of a Local Binary Convolutional Neural Network. IEEE Trans. Circuits Syst. II Express Briefs 68 (4) (2021)
Xinfeng Xie, Peng Gu, Yufei Ding, Dimin Niu, Hongzhong Zheng, Yuan Xie
MPU: Towards Bandwidth-abundant SIMT Processor via Near-bank Computing. CoRR (2021)
Zhaodong Chen, Lei Deng, Guoqi Li, Jiawei Sun, Xing Hu, Ling Liang, Yufei Ding, Yuan Xie
Effective and Efficient Batch Normalization Using a Few Uncorrelated Data for Statistics Estimation. IEEE Trans. Neural Networks Learn. Syst. 32 (1) (2021)
Xinfeng Xie, Zheng Liang, Peng Gu, Abanti Basak, Lei Deng, Ling Liang, Xing Hu, Yuan Xie
SpaceA: Sparse Matrix Vector Multiplication on Processing-in-Memory Accelerator. HPCA (2021)
Yuan Xie
Recap of the 39th Edition of the International Conference on Computer-Aided Design (ICCAD 2020). IEEE Des. Test 38 (2) (2021)
Yuke Wang, Boyuan Feng, Gushu Li, Georgios Tzimpragos, Lei Deng, Yuan Xie, Yufei Ding
TiAcc: Triangle-inequality based Hardware Accelerator for K-means on FPGAs. CCGRID (2021)
Ling Liang, Zheng Qu, Zhaodong Chen, Fengbin Tu, Yujie Wu, Lei Deng, Guoqi Li, Peng Li, Yuan Xie
H2Learn: High-Efficiency Learning Accelerator for High-Accuracy Spiking Neural Networks. CoRR (2021)
Hengnu Chen, Lei Deng, Zheng Qu, Ling Liang, Tianyi Yan, Yuan Xie, Guoqi Li
Tensor train decomposition for solving large-scale linear equations. Neurocomputing 464 (2021)
Nan Wu, Lei Deng, Guoqi Li, Yuan Xie
Core Placement Optimization for Multi-chip Many-core Neural Network Systems with Reinforcement Learning. ACM Trans. Design Autom. Electr. Syst. 26 (2) (2021)
Fengbin Tu, Weiwei Wu, Yang Wang, Hongjiang Chen, Feng Xiong, Man Shi, Ning Li, Jinyi Deng, Tianbao Chen, Leibo Liu, Shaojun Wei, Yuan Xie, Shouyi Yin
Erratum to "Evolver: a Deep Learning Processor With On-Device Quantization-Voltage-Frequency Tuning". IEEE J. Solid State Circuits 56 (9) (2021)
Zhaodong Chen, Zheng Qu, Liu Liu, Yufei Ding, Yuan Xie
Efficient tensor core-based GPU kernels for structured sparsity under reduced precision. SC (2021)
Hussam Amrouch, Jian-Jia Chen, Kaushik Roy, Yuan Xie, Indranil Chakraborty, Wenqin Huangfu, Ling Liang, Fengbin Tu, Cheng Wang, Mikail Yayla
Brain-Inspired Computing: Adventure from Beyond CMOS Technologies to Beyond von Neumann Architectures ICCAD Special Session Paper. ICCAD (2021)
Jilan Lin, Shuangchen Li, Yufei Ding, Yuan Xie
Overcoming the Memory Hierarchy Inefficiencies in Graph Processing Applications. ICCAD (2021)
Boyuan Feng, Yuke Wang, Guoyang Chen, Weifeng Zhang, Yuan Xie, Yufei Ding
EGEMM-TC: accelerating scientific computing on tensor cores with extended precision. PPoPP (2021)
Nan Wu, Yuan Xie, Cong Hao
IRONMAN: GNN-assisted Design Space Exploration in High-Level Synthesis via Reinforcement Learning. ACM Great Lakes Symposium on VLSI (2021)
Fengbin Tu, Weiwei Wu, Yang Wang, Hongjiang Chen, Feng Xiong, Man Shi, Ning Li, Jinyi Deng, Tianbao Chen, Leibo Liu, Shaojun Wei, Yuan Xie, Shouyi Yin
Evolver: A Deep Learning Processor With On-Device Quantization-Voltage-Frequency Tuning. IEEE J. Solid State Circuits 56 (2) (2021)
Liu Liu, Zheng Qu, Zhaodong Chen, Yufei Ding, Yuan Xie
Transformer Acceleration with Dynamic Sparse Attention. CoRR (2021)
Nan Wu, Yuan Xie, Cong Hao
IronMan: GNN-assisted Design Space Exploration in High-Level Synthesis via Reinforcement Learning. CoRR (2021)
Anbang Wu, Gushu Li, Hezi Zhang, Gian Giacomo Guerreschi, Yufei Ding, Yuan Xie
Mapping Surface Code to Superconducting Quantum Processors. CoRR (2021)
Boyuan Feng, Yuke Wang, Gushu Li, Yuan Xie, Yufei Ding
Palleon: A Runtime System for Efficient Video Processing toward Dynamic Class Skew. USENIX Annual Technical Conference (2021)
Jilan Lin, Cheng-Da Wen, Xing Hu, Tianqi Tang, Ing-Chao Lin, Yu Wang, Yuan Xie
Rescuing RRAM-Based Computing From Static and Dynamic Faults. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40 (10) (2021)
Hengrui Zhang, Zhongming Yu, Guohao Dai, Guyue Huang, Yufei Ding, Yuan Xie, Yu Wang
Understanding GNN Computational Graph: A Coordinated Computation, IO, and Memory Perspective. CoRR (2021)
Jiayi Yang, Lei Deng, Yukuan Yang, Yuan Xie, Guoqi Li
Training and inference for integer-based semantic segmentation network. Neurocomputing 454 (2021)
Liu Liu, Jilan Lin, Zheng Qu, Yufei Ding, Yuan Xie
ENMC: Extreme Near-Memory Classification via Approximate Screening. MICRO (2021)
Eren Kurshan, Hai Helen Li, Mingoo Seok, Yuan Xie
A Case for 3D Integrated System Design for Neuromorphic Computing & AI Applications. CoRR (2021)
Abanti Basak, Zheng Qu, Jilan Lin, Alaa R. Alameldeen, Zeshan Chishti, Yufei Ding, Yuan Xie
Improving Streaming Graph Processing Performance using Input Knowledge. MICRO (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yuan Xie