Xinfeng Xie

According to our database, Xinfeng Xie authored at least 24 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

MPU: Memory-centric SIMT Processor via In-DRAM Near-bank Computing.

Xinfeng Xie, Peng Gu, Yufei Ding, Dimin Niu, Hongzhong Zheng, Yuan Xie

ACM Trans. Archit. Code Optim., September, 2023

2022

Rubik: A Hierarchical Architecture for Efficient Graph Neural Network Training.

Xiaobing Chen, Yuke Wang, Xinfeng Xie, Xing Hu, Abanti Basak, Ling Liang, Mingyu Yan, Lei Deng, Yufei Ding, Zidong Du, Yuan Xie

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

MPU-Sim: A Simulator for In-DRAM Near-Bank Processing Architectures.

Xinfeng Xie, Peng Gu, Jiayi Huang, Yufei Ding, Yuan Xie

IEEE Comput. Archit. Lett., 2022

A Transferable Approach for Partitioning Machine Learning Models on Multi-Chip-Modules.

Xinfeng Xie, Prakash Prabhu, Ulysse Beaugnon, Phitchaya Mangpo Phothilimthana, Sudip Roy, Azalia Mirhoseini, Eugene Brevdo, James Laudon, Yanqi Zhou

Proceedings of Machine Learning and Systems 2022, 2022

2021

DLUX: A LUT-Based Near-Bank Accelerator for Data Center Deep Learning Training Workloads.

Peng Gu, Xinfeng Xie, Shuangchen Li, Dimin Niu, Hongzhong Zheng, Krishna T. Malladi, Yuan Xie

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021

MPU: Towards Bandwidth-abundant SIMT Processor via Near-bank Computing.

Xinfeng Xie, Peng Gu, Yufei Ding, Dimin Niu, Hongzhong Zheng, Yuan Xie

CoRR, 2021

SpaceA: Sparse Matrix Vector Multiplication on Processing-in-Memory Accelerator.

Xinfeng Xie, Zheng Liang, Peng Gu, Abanti Basak, Lei Deng, Ling Liang, Xing Hu, Yuan Xie

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2021

SEALing Neural Network Models in Encrypted Deep Learning Accelerators.

Pengfei Zuo, Yu Hua, Ling Liang, Xinfeng Xie, Xing Hu, Yuan Xie

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

2020

NNBench-X: A Benchmarking Methodology for Neural Network Accelerator Designs.

Xinfeng Xie, Xing Hu, Peng Gu, Shuangchen Li, Yu Ji, Yuan Xie

ACM Trans. Archit. Code Optim., 2020

Rubik: A Hierarchical Architecture for Efficient Graph Learning.

Xiaobing Chen, Yuke Wang, Xinfeng Xie, Xing Hu, Abanti Basak, Ling Liang, Mingyu Yan, Lei Deng, Yufei Ding, Zidong Du, Yunji Chen, Yuan Xie

CoRR, 2020

SEALing Neural Network Models in Secure Deep Learning Accelerators.

Pengfei Zuo, Yu Hua, Ling Liang, Xinfeng Xie, Xing Hu, Yuan Xie

CoRR, 2020

SAGA-Bench: Software and Hardware Characterization of Streaming Graph Analytics Workloads.

Abanti Basak, Jilan Lin, Ryan Lorica, Xinfeng Xie, Zeshan Chishti, Alaa R. Alameldeen, Yuan Xie

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2020

iPIM: Programmable In-Memory Image Processing Accelerator Using Near-Bank Architecture.

Peng Gu, Xinfeng Xie, Yufei Ding, Guoyang Chen, Weifeng Zhang, Dimin Niu, Yuan Xie

Proceedings of the 47th ACM/IEEE Annual International Symposium on Computer Architecture, 2020

DeepSniffer: A DNN Model Extraction Framework Based on Learning Architectural Hints.

Xing Hu, Ling Liang, Shuangchen Li, Lei Deng, Pengfei Zuo, Yu Ji, Xinfeng Xie, Yufei Ding, Chang Liu, Timothy Sherwood, Yuan Xie

Proceedings of the ASPLOS '20: Architectural Support for Programming Languages and Operating Systems, 2020

2019

Neural Network Model Extraction Attacks in Edge Devices by Hearing Architectural Hints.

Xing Hu, Ling Liang, Lei Deng, Shuangchen Li, Xinfeng Xie, Yu Ji, Yufei Ding, Chang Liu, Timothy Sherwood, Yuan Xie

CoRR, 2019

QGAN: Quantized Generative Adversarial Networks.

Peiqi Wang, Dongsheng Wang, Yu Ji, Xinfeng Xie, Haoxuan Song, XuXin Liu, Yongqiang Lyu, Yuan Xie

CoRR, 2019

NNBench-X: Benchmarking and Understanding Neural Network Workloads for Accelerator Designs.

Xinfeng Xie, Xing Hu, Peng Gu, Shuangchen Li, Yu Ji, Yuan Xie

IEEE Comput. Archit. Lett., 2019

Analysis and Optimization of the Memory Hierarchy for Graph Processing Workloads.

Abanti Basak, Shuangchen Li, Xing Hu, Sang Min Oh, Xinfeng Xie, Li Zhao, Xiaowei Jiang, Yuan Xie

Proceedings of the 25th IEEE International Symposium on High Performance Computer Architecture, 2019

Memory-Bound Proof-of-Work Acceleration for Blockchain Applications.

Kun Wu, Guohao Dai, Xing Hu, Shuangchen Li, Xinfeng Xie, Yu Wang, Yuan Xie

Proceedings of the 56th Annual Design Automation Conference 2019, 2019

FPSA: A Full System Stack Solution for Reconfigurable ReRAM-based NN Accelerator Architecture.

Yu Ji, Youyang Zhang, Xinfeng Xie, Shuangchen Li, Peiqi Wang, Xing Hu, Youhui Zhang, Yuan Xie

Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems, 2019

2018

Exploiting Sparsity to Accelerate Fully Connected Layers of CNN-Based Applications on Mobile SoCs.

Xinfeng Xie, Dayou Du, Qian Li, Yun Liang, Wai Teng Tang, Zhongliang Ong, Mian Lu, Huynh Phung Huynh, Rick Siow Mong Goh

ACM Trans. Embed. Comput. Syst., 2018

HitNet: Hybrid Ternary Recurrent Neural Network.

Peiqi Wang, Xinfeng Xie, Lei Deng, Guoqi Li, Dongsheng Wang, Yuan Xie

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Communication Optimization on GPU: A Case Study of Sequence Alignment Algorithms.

Jie Wang, Xinfeng Xie, Jason Cong

Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium, 2017

2013

The design and implementation of the multi-screen interaction service architecture for the Real-Time streaming media.

Xinfeng Xie, Zhongqing Yu, Kaixi Wang

Proceedings of the Ninth International Conference on Natural Computation, 2013