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2020 – today
- 2024
[c19]Lei Wang, Lingxiao Ma, Shijie Cao, Quanlu Zhang, Jilong Xue, Yining Shi, Ningxin Zheng, Ziming Miao, Fan Yang, Ting Cao, Yuqing Yang, Mao Yang:
Ladder: Enabling Efficient Low-Precision Deep Learning Computing through Hardware-aware Tensor Transformation. OSDI 2024: 307-323- [c18]Yuetao Chen
, Kun Li, Yuhao Wang, Donglin Bai, Lei Wang, Lingxiao Ma, Liang Yuan, Yunquan Zhang, Ting Cao, Mao Yang:
ConvStencil: Transform Stencil Computation to Matrix Multiplication on Tensor Cores. PPoPP 2024: 333-347 - [c17]Yiqi Liu, Yuqi Xue, Yu Cheng, Lingxiao Ma, Ziming Miao, Jilong Xue, Jian Huang:
Scaling Deep Learning Computation over the Inter-Core Connected Intelligence Processor with T10. SOSP 2024: 505-521 - [i10]Shuming Ma, Hongyu Wang, Lingxiao Ma, Lei Wang, Wenhui Wang, Shaohan Huang, Li Dong, Ruiping Wang, Jilong Xue, Furu Wei:
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits. CoRR abs/2402.17764 (2024) - [i9]Jianyu Wei, Shijie Cao, Ting Cao, Lingxiao Ma, Lei Wang, Yanyong Zhang, Mao Yang:
T-MAC: CPU Renaissance via Table Lookup for Low-Bit LLM Deployment on Edge. CoRR abs/2407.00088 (2024) - [i8]Yiqi Liu, Yuqi Xue, Yu Cheng, Lingxiao Ma, Ziming Miao, Jilong Xue, Jian Huang:
Scaling Deep Learning Computation over the Inter-Core Connected Intelligence Processor. CoRR abs/2408.04808 (2024) - [i7]Zhiwen Mo, Lei Wang, Jianyu Wei, Zhichen Zeng, Shijie Cao, Lingxiao Ma, Naifeng Jing, Ting Cao, Jilong Xue, Fan Yang, Mao Yang:
LUT Tensor Core: Lookup Table Enables Efficient Low-Bit LLM Inference Acceleration. CoRR abs/2408.06003 (2024) - 2023
- [j3]Xiaonan Nie, Xupeng Miao, Zilong Wang, Zichao Yang, Jilong Xue, Lingxiao Ma, Gang Cao, Bin Cui:
FlexMoE: Scaling Large-scale Sparse Pre-trained Model Training via Dynamic Device Placement. Proc. ACM Manag. Data 1(1): 110:1-110:19 (2023) - [c16]Bin Lin, Ningxin Zheng, Lei Wang, Shijie Cao, Lingxiao Ma, Quanlu Zhang, Yi Zhu, Ting Cao, Jilong Xue, Yuqing Yang, Fan Yang:
Efficient GPU Kernels for N: M-Sparse Weights in Deep Learning. MLSys 2023 - [c15]Chen Zhang, Lingxiao Ma, Jilong Xue, Yining Shi, Ziming Miao, Fan Yang, Jidong Zhai, Zhi Yang, Mao Yang:
Cocktailer: Analyzing and Optimizing Dynamic Control Flow in Deep Learning. OSDI 2023: 681-699 - [c14]Yining Shi, Zhi Yang, Jilong Xue, Lingxiao Ma, Yuqing Xia, Ziming Miao, Yuxiao Guo, Fan Yang, Lidong Zhou:
Welder: Scheduling Deep Learning Memory Access via Tile-graph. OSDI 2023: 701-718 - [c13]Weihao Cui, Zhenhua Han, Lingji Ouyang, Yichuan Wang, Ningxin Zheng, Lingxiao Ma, Yuqing Yang, Fan Yang, Jilong Xue, Lili Qiu, Lidong Zhou, Quan Chen, Haisheng Tan, Minyi Guo:
Optimizing Dynamic Neural Networks with Brainstorm. OSDI 2023: 797-815 - [c12]Ningxin Zheng, Huiqiang Jiang, Quanlu Zhang, Zhenhua Han, Lingxiao Ma, Yuqing Yang, Fan Yang, Chengruidong Zhang, Lili Qiu, Mao Yang, Lidong Zhou:
PIT: Optimization of Dynamic Sparse Deep Learning Models via Permutation Invariant Transformation. SOSP 2023: 331-347 - [i6]Ningxin Zheng, Huiqiang Jiang, Quanlu Zhang, Zhenhua Han, Yuqing Yang, Lingxiao Ma, Fan Yang, Lili Qiu, Mao Yang, Lidong Zhou:
SparDA: Accelerating Dynamic Sparse Deep Neural Networks via Sparse-Dense Transformation. CoRR abs/2301.10936 (2023) - [i5]Xiaonan Nie, Xupeng Miao, Zilong Wang, Zichao Yang, Jilong Xue, Lingxiao Ma, Gang Cao, Bin Cui:
FlexMoE: Scaling Large-scale Sparse Pre-trained Model Training via Dynamic Device Placement. CoRR abs/2304.03946 (2023) - [i4]Hongyu Wang, Shuming Ma, Li Dong, Shaohan Huang, Huaijie Wang, Lingxiao Ma, Fan Yang, Ruiping Wang, Yi Wu, Furu Wei:
BitNet: Scaling 1-bit Transformers for Large Language Models. CoRR abs/2310.11453 (2023) - 2022
- [j2]Xupeng Miao, Lingxiao Ma, Zhi Yang, Yingxia Shao, Bin Cui, Lele Yu, Jiawei Jiang:
CuWide: Towards Efficient Flow-Based Training for Sparse Wide Models on GPUs. IEEE Trans. Knowl. Data Eng. 34(9): 4119-4132 (2022) - [c11]Ningxin Zheng, Bin Lin, Quanlu Zhang, Lingxiao Ma, Yuqing Yang, Fan Yang, Yang Wang, Mao Yang, Lidong Zhou:
SparTA: Deep-Learning Model Sparsity via Tensor-with-Sparsity-Attribute. OSDI 2022: 213-232 - [c10]Hongyu Zhu, Ruofan Wu, Yijia Diao, Shanbin Ke, Haoyu Li, Chen Zhang, Jilong Xue, Lingxiao Ma, Yuqing Xia, Wei Cui, Fan Yang, Mao Yang, Lidong Zhou, Asaf Cidon, Gennady Pekhimenko:
ROLLER: Fast and Efficient Tensor Compilation for Deep Learning. OSDI 2022: 233-248 - 2021
- [c9]Taehyun Kim, Changho Hwang, KyoungSoo Park, Zhiqi Lin, Peng Cheng, Youshan Miao, Lingxiao Ma, Yongqiang Xiong:
Accelerating GNN training with locality-aware partial execution. APSys 2021: 34-41 - [c8]Xupeng Miao, Lingxiao Ma, Zhi Yang, Yingxia Shao, Bin Cui, Lele Yu, Jiawei Jiang:
CuWide: Towards Efficient Flow-based Training for Sparse Wide Models on GPUs (Extended Abstract). ICDE 2021: 2330-2331 - [c7]Xupeng Miao, Xiaonan Nie, Yingxia Shao, Zhi Yang, Jiawei Jiang, Lingxiao Ma, Bin Cui:
Heterogeneity-Aware Distributed Machine Learning Training via Partial Reduce. SIGMOD Conference 2021: 2262-2270 - [i3]Xiaonan Nie, Shijie Cao, Xupeng Miao, Lingxiao Ma, Jilong Xue, Youshan Miao, Zichao Yang, Zhi Yang, Bin Cui:
Dense-to-Sparse Gate for Mixture-of-Experts. CoRR abs/2112.14397 (2021) - 2020
- [j1]Zhihui Zhang, Jingwen Leng, Lingxiao Ma, Youshan Miao, Chao Li, Minyi Guo:
Architectural Implications of Graph Neural Networks. IEEE Comput. Archit. Lett. 19(1): 59-62 (2020) - [c6]Chao Tian, Lingxiao Ma, Zhi Yang, Yafei Dai:
PCGCN: Partition-Centric Processing for Accelerating Graph Convolutional Network. IPDPS 2020: 936-945 - [c5]Lingxiao Ma, Zhiqiang Xie, Zhi Yang, Jilong Xue, Youshan Miao, Wei Cui, Wenxiang Hu, Fan Yang, Lintao Zhang, Lidong Zhou:
Rammer: Enabling Holistic Deep Learning Compiler Optimizations with rTasks. OSDI 2020: 881-897 - [i2]Zhihui Zhang, Jingwen Leng, Lingxiao Ma, Youshan Miao, Chao Li, Minyi Guo:
Architectural Implications of Graph Neural Networks. CoRR abs/2009.00804 (2020)
2010 – 2019
- 2019
- [c4]Shijie Cao, Lingxiao Ma, Wencong Xiao, Chen Zhang, Yunxin Liu, Lintao Zhang, Lanshun Nie, Zhi Yang:
SeerNet: Predicting Convolutional Neural Network Feature-Map Sparsity Through Low-Bit Quantization. CVPR 2019: 11216-11225 - [c3]Lingxiao Ma, Zhi Yang, Youshan Miao, Jilong Xue, Ming Wu, Lidong Zhou, Yafei Dai:
NeuGraph: Parallel Deep Neural Network Computation on Large Graphs. USENIX ATC 2019: 443-458 - 2018
- [i1]Lingxiao Ma, Zhi Yang, Youshan Miao, Jilong Xue, Ming Wu, Lidong Zhou, Yafei Dai:
Towards Efficient Large-Scale Graph Neural Network Computing. CoRR abs/1810.08403 (2018) - 2017
- [c2]Lingxiao Ma, Zhi Yang, Han Chen, Jilong Xue, Yafei Dai:
Garaph: Efficient GPU-accelerated Graph Processing on a Single Machine with Balanced Replication. USENIX ATC 2017: 195-207
2000 – 2009
- 2005
- [c1]Jianwei Yin, Weipeng Yao, Lingxiao Ma, Jinxiang Dong:
CoopStreaming: A Novel Peer-to-Peer System for Fast Live Media Streaming. WAIM 2005: 882-887
Coauthor Index
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last updated on 2024-11-19 21:43 CET by the dblp team
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