Xinfeng Xie

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 27

Top Topics

Hierarchical Architecture

Top Venues

IEEE Comput. Archit. Lett.

Publications

Zi Yang, Samridhi Choudhary, Xinfeng Xie, Cao Gao, Siegfried Kunzmann, Zheng Zhang
CoMERA: Computing- and Memory-Efficient Training via Rank-Adaptive Tensor Optimization. CoRR (2024)
Xinfeng Xie, Peng Gu, Yufei Ding, Dimin Niu, Hongzhong Zheng, Yuan Xie
MPU: Memory-centric SIMT Processor via In-DRAM Near-bank Computing. ACM Trans. Archit. Code Optim. 20 (3) (2023)
Xinfeng Xie, Prakash Prabhu, Ulysse Beaugnon, Phitchaya Mangpo Phothilimthana, Sudip Roy, Azalia Mirhoseini, Eugene Brevdo, James Laudon, Yanqi Zhou
A Transferable Approach for Partitioning Machine Learning Models on Multi-Chip-Modules. MLSys (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)
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)
Xinfeng Xie, Peng Gu, Yufei Ding, Dimin Niu, Hongzhong Zheng, Yuan Xie
MPU: Towards Bandwidth-abundant SIMT Processor via Near-bank Computing. CoRR (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)
Xinfeng Xie, Prakash Prabhu, Ulysse Beaugnon, Phitchaya Mangpo Phothilimthana, Sudip Roy, Azalia Mirhoseini, Eugene Brevdo, James Laudon, Yanqi Zhou
A Transferable Approach for Partitioning Machine Learning Models on Multi-Chip-Modules. CoRR (2021)
Pengfei Zuo, Yu Hua, Ling Liang, Xinfeng Xie, Xing Hu, Yuan Xie
SEALing Neural Network Models in Encrypted Deep Learning Accelerators. DAC (2021)
Peng Gu, Xinfeng Xie, Shuangchen Li, Dimin Niu, Hongzhong Zheng, Krishna T. Malladi, Yuan Xie
DLUX: A LUT-Based Near-Bank Accelerator for Data Center Deep Learning Training Workloads. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40 (8) (2021)
Xing Hu, Ling Liang, Shuangchen Li, Lei Deng, Pengfei Zuo, Yu Ji, Xinfeng Xie, Yufei Ding, Chang Liu, Timothy Sherwood, Yuan Xie
DeepSniffer: A DNN Model Extraction Framework Based on Learning Architectural Hints. ASPLOS (2020)
Abanti Basak, Jilan Lin, Ryan Lorica, Xinfeng Xie, Zeshan Chishti, Alaa R. Alameldeen, Yuan Xie
SAGA-Bench: Software and Hardware Characterization of Streaming Graph Analytics Workloads. ISPASS (2020)
Xinfeng Xie, Xing Hu, Peng Gu, Shuangchen Li, Yu Ji, Yuan Xie
NNBench-X: A Benchmarking Methodology for Neural Network Accelerator Designs. ACM Trans. Archit. Code Optim. 17 (4) (2020)
Xiaobing Chen, Yuke Wang, Xinfeng Xie, Xing Hu, Abanti Basak, Ling Liang, Mingyu Yan, Lei Deng, Yufei Ding, Zidong Du, Yunji Chen, Yuan Xie
Rubik: A Hierarchical Architecture for Efficient Graph Learning. CoRR (2020)
Peng Gu, Xinfeng Xie, Yufei Ding, Guoyang Chen, Weifeng Zhang, Dimin Niu, Yuan Xie
iPIM: Programmable In-Memory Image Processing Accelerator Using Near-Bank Architecture. ISCA (2020)
Pengfei Zuo, Yu Hua, Ling Liang, Xinfeng Xie, Xing Hu, Yuan Xie
SEALing Neural Network Models in Secure Deep Learning Accelerators. CoRR (2020)
Xinfeng Xie, Xing Hu, Peng Gu, Shuangchen Li, Yu Ji, Yuan Xie
NNBench-X: A Benchmarking Methodology for Neural Network Accelerator Designs. EMC2@HPCA/CVPR/ISCA (2019)
Xing Hu, Ling Liang, Lei Deng, Shuangchen Li, Xinfeng Xie, Yu Ji, Yufei Ding, Chang Liu, Timothy Sherwood, Yuan Xie
Neural Network Model Extraction Attacks in Edge Devices by Hearing Architectural Hints. CoRR (2019)
Abanti Basak, Shuangchen Li, Xing Hu, Sang Min Oh, Xinfeng Xie, Li Zhao, Xiaowei Jiang, Yuan Xie
Analysis and Optimization of the Memory Hierarchy for Graph Processing Workloads. HPCA (2019)
Xinfeng Xie, Xing Hu, Peng Gu, Shuangchen Li, Yu Ji, Yuan Xie
NNBench-X: Benchmarking and Understanding Neural Network Workloads for Accelerator Designs. IEEE Comput. Archit. Lett. 18 (1) (2019)
Kun Wu, Guohao Dai, Xing Hu, Shuangchen Li, Xinfeng Xie, Yu Wang, Yuan Xie
Memory-Bound Proof-of-Work Acceleration for Blockchain Applications. DAC (2019)
Yu Ji, Youyang Zhang, Xinfeng Xie, Shuangchen Li, Peiqi Wang, Xing Hu, Youhui Zhang, Yuan Xie
FPSA: A Full System Stack Solution for Reconfigurable ReRAM-based NN Accelerator Architecture. CoRR (2019)
Yu Ji, Youyang Zhang, Xinfeng Xie, Shuangchen Li, Peiqi Wang, Xing Hu, Youhui Zhang, Yuan Xie
FPSA: A Full System Stack Solution for Reconfigurable ReRAM-based NN Accelerator Architecture. ASPLOS (2019)
Peiqi Wang, Dongsheng Wang, Yu Ji, Xinfeng Xie, Haoxuan Song, XuXin Liu, Yongqiang Lyu, Yuan Xie
QGAN: Quantized Generative Adversarial Networks. CoRR (2019)
Peiqi Wang, Xinfeng Xie, Lei Deng, Guoqi Li, Dongsheng Wang, Yuan Xie
HitNet: Hybrid Ternary Recurrent Neural Network. NeurIPS (2018)
Xinfeng Xie, Dayou Du, Qian Li, Yun Liang, Wai Teng Tang, Zhongliang Ong, Mian Lu, Huynh Phung Huynh, Rick Siow Mong Goh
Exploiting Sparsity to Accelerate Fully Connected Layers of CNN-Based Applications on Mobile SoCs. ACM Trans. Embed. Comput. Syst. 17 (2) (2018)
Jie Wang, Xinfeng Xie, Jason Cong
Communication Optimization on GPU: A Case Study of Sequence Alignment Algorithms. IPDPS (2017)
Xinfeng Xie, Zhongqing Yu, Kaixi Wang
The design and implementation of the multi-screen interaction service architecture for the Real-Time streaming media. ICNC (2013)