Xinfeng Xie

36 papers A* 11A 1B 1Misc 1Journal 18Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Collective Communication for 100k+ GPUs.
CoRR
Min Si, Pavan Balaji, Yongzhou Chen, Ching-Hsiang Chu, Adi Gangidi, Saif Hasan, Subodh Iyengar, Dan Johnson, Bingzhe Liu, Regina Ren, Ashmitha Jeevaraj Shetty, Greg Steinbrecher, Yulun Wang, Bruce Wu, Xinfeng Xie, Jingyi Yang, Mingran Yang, Kenny Yu, Minlan Yu, Cen Zhao, Wesley Bland, Denis Boyda, Suman Gumudavelli, Prashanth Kannan, Cristian Lumezanu, Rui Miao, Zhe Qu, Venkat Ramesh, Maxim Samoylov, Jan Seidel, Srikanth Sundaresan, Feng Tian, Qiye Tan, Shuqiang Zhang, Yimeng Zhao, Shengbao Zheng, Art Zhu, Hongyi Zeng
2025 — conf
Context Parallelism for Scalable Million-Token Inference.
MLSys
Amy Yang, Jingyi Yang, Aya Ibrahim, Xinfeng Xie, Bangsheng Tang, Grigory Sizov, Jongsoo Park, Jianyu Huang
2025 A* conf
Scaling Llama 3 Training with Efficient Parallelism Strategies.
ISCA
Weiwei Chu, Xinfeng Xie, Jiecao Yu, Jie Wang, Amar Phanishayee, Chunqiang Tang, Yuchen Hao, Jianyu Huang, Mustafa Ozdal, Jun Wang, Vedanuj Goswami, Naman Goyal, Abhishek Kadian, Andrew Gu, Chris Cai, Feng Tian, Xiaodong Wang, Min Si, Pavan Balaji, Ching-Hsiang Chu, Jongsoo Park
2025 A* conf
WLB-LLM: Workload-Balanced 4D Parallelism for Large Language Model Training.
OSDI
Zheng Wang, Anna Cai, Xinfeng Xie, Zaifeng Pan, Yue Guan, Weiwei Chu, Jie Wang, Shikai Li, Jianyu Huang, Chris Cai, Yuchen Hao, Yufei Ding
2025 J jnl
WLB-LLM: Workload-Balanced 4D Parallelism for Large Language Model Training.
CoRR
Zheng Wang, Anna Cai, Xinfeng Xie, Zaifeng Pan, Yue Guan, Weiwei Chu, Jie Wang, Shikai Li, Jianyu Huang, Chris Cai, Yuchen Hao, Yufei Ding
2024 A* conf
CoMERA: Computing- and Memory-Efficient Training via Rank-Adaptive Tensor Optimization.
NeurIPS
Zi Yang, Ziyue Liu, Samridhi Choudhary, Xinfeng Xie, Cao Gao, Siegfried Kunzmann, Zheng Zhang
2024 J jnl
CoMERA: Computing- and Memory-Efficient Training via Rank-Adaptive Tensor Optimization.
CoRR
Zi Yang, Samridhi Choudhary, Xinfeng Xie, Cao Gao, Siegfried Kunzmann, Zheng Zhang
2024 J jnl
Context Parallelism for Scalable Million-Token Inference.
CoRR
Amy Yang, Jingyi Yang, Aya Ibrahim, Xinfeng Xie, Bangsheng Tang, Grigory Sizov, Jeremy Reizenstein, Jongsoo Park, Jianyu Huang
2023 J jnl
MPU: Memory-centric SIMT Processor via In-DRAM Near-bank Computing.
ACM Trans. Archit. Code Optim.
Xinfeng Xie, Peng Gu, Yufei Ding, Dimin Niu, Hongzhong Zheng, Yuan Xie
2022 — conf
A Transferable Approach for Partitioning Machine Learning Models on Multi-Chip-Modules.
MLSys
Xinfeng Xie, Prakash Prabhu, Ulysse Beaugnon, Phitchaya Mangpo Phothilimthana, Sudip Roy, Azalia Mirhoseini, Eugene Brevdo, James Laudon, Yanqi Zhou
2022 — —
Efficient In-DRAM Near-Bank Processing for Emerging Parallel Computing Workloads
Xinfeng Xie
2022 J jnl
MPU-Sim: A Simulator for In-DRAM Near-Bank Processing Architectures.
IEEE Comput. Archit. Lett.
Xinfeng Xie, Peng Gu, Jiayi Huang, Yufei Ding, Yuan Xie
2022 J jnl
Rubik: A Hierarchical Architecture for Efficient Graph Neural Network Training.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Xiaobing Chen, Yuke Wang, Xinfeng Xie, Xing Hu, Abanti Basak, Ling Liang, Mingyu Yan, Lei Deng, Yufei Ding, Zidong Du, Yuan Xie
2021 J jnl
A Transferable Approach for Partitioning Machine Learning Models on Multi-Chip-Modules.
CoRR
Xinfeng Xie, Prakash Prabhu, Ulysse Beaugnon, Phitchaya Mangpo Phothilimthana, Sudip Roy, Azalia Mirhoseini, Eugene Brevdo, James Laudon, Yanqi Zhou
2021 J jnl
DLUX: A LUT-Based Near-Bank Accelerator for Data Center Deep Learning Training Workloads.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Peng Gu, Xinfeng Xie, Shuangchen Li, Dimin Niu, Hongzhong Zheng, Krishna T. Malladi, Yuan Xie
2021 J jnl
MPU: Towards Bandwidth-abundant SIMT Processor via Near-bank Computing.
CoRR
Xinfeng Xie, Peng Gu, Yufei Ding, Dimin Niu, Hongzhong Zheng, Yuan Xie
2021 A* conf
SEALing Neural Network Models in Encrypted Deep Learning Accelerators.
DAC
Pengfei Zuo, Yu Hua, Ling Liang, Xinfeng Xie, Xing Hu, Yuan Xie
2021 A* conf
SpaceA: Sparse Matrix Vector Multiplication on Processing-in-Memory Accelerator.
HPCA
Xinfeng Xie, Zheng Liang, Peng Gu, Abanti Basak, Lei Deng, Ling Liang, Xing Hu, Yuan Xie
2020 A* conf
DeepSniffer: A DNN Model Extraction Framework Based on Learning Architectural Hints.
ASPLOS
Xing Hu, Ling Liang, Shuangchen Li, Lei Deng, Pengfei Zuo, Yu Ji, Xinfeng Xie, Yufei Ding, Chang Liu, Timothy Sherwood, Yuan Xie
2020 J jnl
NNBench-X: A Benchmarking Methodology for Neural Network Accelerator Designs.
ACM Trans. Archit. Code Optim.
Xinfeng Xie, Xing Hu, Peng Gu, Shuangchen Li, Yu Ji, Yuan Xie
2020 J jnl
Rubik: A Hierarchical Architecture for Efficient Graph Learning.
CoRR
Xiaobing Chen, Yuke Wang, Xinfeng Xie, Xing Hu, Abanti Basak, Ling Liang, Mingyu Yan, Lei Deng, Yufei Ding, Zidong Du, Yunji Chen, Yuan Xie
2020 B conf
SAGA-Bench: Software and Hardware Characterization of Streaming Graph Analytics Workloads.
ISPASS
Abanti Basak, Jilan Lin, Ryan Lorica, Xinfeng Xie, Zeshan Chishti, Alaa R. Alameldeen, Yuan Xie
2020 J jnl
SEALing Neural Network Models in Secure Deep Learning Accelerators.
CoRR
Pengfei Zuo, Yu Hua, Ling Liang, Xinfeng Xie, Xing Hu, Yuan Xie
2020 A* conf
iPIM: Programmable In-Memory Image Processing Accelerator Using Near-Bank Architecture.
ISCA
Peng Gu, Xinfeng Xie, Yufei Ding, Guoyang Chen, Weifeng Zhang, Dimin Niu, Yuan Xie
2019 A* conf
Analysis and Optimization of the Memory Hierarchy for Graph Processing Workloads.
HPCA
Abanti Basak, Shuangchen Li, Xing Hu, Sang Min Oh, Xinfeng Xie, Li Zhao, Xiaowei Jiang, Yuan Xie
2019 A* conf
FPSA: A Full System Stack Solution for Reconfigurable ReRAM-based NN Accelerator Architecture.
ASPLOS
Yu Ji, Youyang Zhang, Xinfeng Xie, Shuangchen Li, Peiqi Wang, Xing Hu, Youhui Zhang, Yuan Xie
2019 J jnl
FPSA: A Full System Stack Solution for Reconfigurable ReRAM-based NN Accelerator Architecture.
CoRR
Yu Ji, Youyang Zhang, Xinfeng Xie, Shuangchen Li, Peiqi Wang, Xing Hu, Youhui Zhang, Yuan Xie
2019 A* conf
Memory-Bound Proof-of-Work Acceleration for Blockchain Applications.
DAC
Kun Wu, Guohao Dai, Xing Hu, Shuangchen Li, Xinfeng Xie, Yu Wang, Yuan Xie
2019 — conf
NNBench-X: A Benchmarking Methodology for Neural Network Accelerator Designs.
EMC2@HPCA/CVPR/ISCA
Xinfeng Xie, Xing Hu, Peng Gu, Shuangchen Li, Yu Ji, Yuan Xie
2019 J jnl
NNBench-X: Benchmarking and Understanding Neural Network Workloads for Accelerator Designs.
IEEE Comput. Archit. Lett.
Xinfeng Xie, Xing Hu, Peng Gu, Shuangchen Li, Yu Ji, Yuan Xie
2019 J jnl
Neural Network Model Extraction Attacks in Edge Devices by Hearing Architectural Hints.
CoRR
Xing Hu, Ling Liang, Lei Deng, Shuangchen Li, Xinfeng Xie, Yu Ji, Yufei Ding, Chang Liu, Timothy Sherwood, Yuan Xie
2019 J jnl
QGAN: Quantized Generative Adversarial Networks.
CoRR
Peiqi Wang, Dongsheng Wang, Yu Ji, Xinfeng Xie, Haoxuan Song, XuXin Liu, Yongqiang Lyu, Yuan Xie
2018 J jnl
Exploiting Sparsity to Accelerate Fully Connected Layers of CNN-Based Applications on Mobile SoCs.
ACM Trans. Embed. Comput. Syst.
Xinfeng Xie, Dayou Du, Qian Li, Yun Liang, Wai Teng Tang, Zhongliang Ong, Mian Lu, Huynh Phung Huynh, Rick Siow Mong Goh
2018 A* conf
HitNet: Hybrid Ternary Recurrent Neural Network.
NeurIPS
Peiqi Wang, Xinfeng Xie, Lei Deng, Guoqi Li, Dongsheng Wang, Yuan Xie
2017 A conf
Communication Optimization on GPU: A Case Study of Sequence Alignment Algorithms.
IPDPS
Jie Wang, Xinfeng Xie, Jason Cong
2013 Misc conf
The design and implementation of the multi-screen interaction service architecture for the Real-Time streaming media.
ICNC
Xinfeng Xie, Zhongqing Yu, Kaixi Wang