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2020 – today
- 2024
[j5]Qingcai Jiang
, Zhenwei Cao, Xinhui Cui, Lingyun Wan, Xinming Qin, Huanqi Cao, Hong An, Junshi Chen, Jie Liu, Wei Hu, Jinlong Yang:
Extending the limit of LR-TDDFT on two different approaches: Numerical algorithms and new Sunway heterogeneous supercomputer. Parallel Comput. 120: 103085 (2024)- [c9]Zhenbo Sun, Huanqi Cao, Yuanwei Wang, Guanyu Feng, Shengqi Chen, Haojie Wang, Wenguang Chen:
AdaPipe: Optimizing Pipeline Parallelism with Adaptive Recomputation and Partitioning. ASPLOS (3) 2024: 86-100 - [i6]Qianchao Zhu, Jiangfei Duan, Chang Chen, Siran Liu, Xiuhong Li, Guanyu Feng, Xin Lv, Huanqi Cao, Xiao Chuanfu, Xingcheng Zhang, Dahua Lin, Chao Yang:
SampleAttention: Near-Lossless Acceleration of Long Context LLM Inference with Adaptive Structured Sparse Attention. CoRR abs/2406.15486 (2024) - 2023
- [j4]Huanqi Cao, Shizhi Tang, Qianchao Zhu, Bowen Yu, Wenguang Chen:
Mat2Stencil: A Modular Matrix-Based DSL for Explicit and Implicit Matrix-Free PDE Solvers on Structured Grid. Proc. ACM Program. Lang. 7(OOPSLA2): 686-715 (2023) - [j3]Guanyu Feng, Huanqi Cao, Xiaowei Zhu, Bowen Yu, Yuanwei Wang, Zixuan Ma, Shengqi Chen, Wenguang Chen:
TriCache: A User-Transparent Block Cache Enabling High-Performance Out-of-Core Processing with In-Memory Programs. ACM Trans. Storage 19(2): 15:1-15:30 (2023) - [c8]Bo Peng, Eric Alcaide, Quentin Anthony, Alon Albalak, Samuel Arcadinho, Stella Biderman, Huanqi Cao, Xin Cheng, Michael Chung, Leon Derczynski, Xingjian Du, Matteo Grella, Kranthi Kiran GV, Xuzheng He, Haowen Hou, Przemyslaw Kazienko, Jan Kocon, Jiaming Kong, Bartlomiej Koptyra, Hayden Lau, Jiaju Lin, Krishna Sri Ipsit Mantri, Ferdinand Mom, Atsushi Saito, Guangyu Song, Xiangru Tang, Johan S. Wind, Stanislaw Wozniak, Zhenyuan Zhang, Qinghua Zhou, Jian Zhu, Rui-Jie Zhu:
RWKV: Reinventing RNNs for the Transformer Era. EMNLP (Findings) 2023: 14048-14077 - [i5]Bo Peng, Eric Alcaide, Quentin Anthony, Alon Albalak, Samuel Arcadinho, Huanqi Cao, Xin Cheng, Michael Chung, Matteo Grella, Kranthi Kiran G. V., Xuzheng He, Haowen Hou, Przemyslaw Kazienko, Jan Kocon, Jiaming Kong, Bartlomiej Koptyra, Hayden Lau, Krishna Sri Ipsit Mantri, Ferdinand Mom, Atsushi Saito, Xiangru Tang, Bolun Wang, Johan S. Wind, Stanislaw Wozniak, Ruichong Zhang, Zhenyuan Zhang, Qihang Zhao, Peng Zhou, Jian Zhu, Rui-Jie Zhu:
RWKV: Reinventing RNNs for the Transformer Era. CoRR abs/2305.13048 (2023) - [i4]Zixuan Ma, Haojie Wang, Jingze Xing, Liyan Zheng, Chen Zhang, Huanqi Cao, Kezhao Huang, Shizhi Tang, Penghan Wang, Jidong Zhai:
PowerFusion: A Tensor Compiler with Explicit Data Movement Description and Instruction-level Graph IR. CoRR abs/2307.04995 (2023) - 2022
- [c7]Guanyu Feng, Huanqi Cao, Xiaowei Zhu, Bowen Yu, Yuanwei Wang, Zixuan Ma, Shengqi Chen, Wenguang Chen:
TriCache: A User-Transparent Block Cache Enabling High-Performance Out-of-Core Processing with In-Memory Programs. OSDI 2022: 395-411 - [c6]Zixuan Ma, Jiaao He, Jiezhong Qiu, Huanqi Cao, Yuanwei Wang, Zhenbo Sun, Liyan Zheng, Haojie Wang, Shizhi Tang, Tianyu Zheng, Junyang Lin, Guanyu Feng, Zeqiang Huang, Jie Gao, Aohan Zeng, Jianwei Zhang, Runxin Zhong, Tianhui Shi, Sha Liu, Weimin Zheng, Jie Tang, Hongxia Yang, Xin Liu, Jidong Zhai, Wenguang Chen:
BaGuaLu: targeting brain scale pretrained models with over 37 million cores. PPoPP 2022: 192-204 - [c5]Huanqi Cao, Yuanwei Wang, Haojie Wang, Heng Lin, Zixuan Ma, Wanwang Yin, Wenguang Chen:
Scaling graph traversal to 281 trillion edges with 40 million cores. PPoPP 2022: 234-245 - [c4]Yuanwei Wang, Huanqi Cao, Zixuan Ma, Wanwang Yin, Wenguang Chen:
Scaling Graph 500 SSSP to 140 Trillion Edges with over 40 Million Cores. SC 2022: 19:1-19:15 - [i3]Huanqi Cao, Shizhi Tang, Bowen Yu, Wenguang Chen:
Programming Matrices as Staged Sparse Rows to Generate Efficient Matrix-free Differential Equation Solver. CoRR abs/2204.13304 (2022) - [i2]Huanqi Cao, Jiajie Chen:
Design and Implementation of ShenWei Universal C/C++. CoRR abs/2208.00607 (2022) - 2021
- [j2]Zhengyan Zhang, Xu Han, Hao Zhou, Pei Ke, Yuxian Gu, Deming Ye, Yujia Qin, Yusheng Su, Haozhe Ji, Jian Guan, Fanchao Qi, Xiaozhi Wang, Yanan Zheng, Guoyang Zeng, Huanqi Cao, Shengqi Chen, Daixuan Li, Zhenbo Sun, Zhiyuan Liu, Minlie Huang, Wentao Han, Jie Tang, Juanzi Li, Xiaoyan Zhu, Maosong Sun:
CPM: A large-scale generative Chinese Pre-trained language model. AI Open 2: 93-99 (2021) - [j1]Bowen Yu, Guanyu Feng, Huanqi Cao, Xiaohan Li, Zhenbo Sun, Haojie Wang, Xiaowei Zhu, Weimin Zheng, Wenguang Chen:
Chukonu: A Fully-Featured Big Data Processing System by Efficiently Integrating a Native Compute Engine into Spark. Proc. VLDB Endow. 15(4): 872-885 (2021) - [c3]Bowen Yu, Huanqi Cao, Tianyi Shan, Haojie Wang, Xiongchao Tang, Wenguang Chen:
Sparker: Efficient Reduction for More Scalable Machine Learning with Spark. ICPP 2021: 58:1-58:11 - 2020
- [i1]Zhengyan Zhang, Xu Han, Hao Zhou, Pei Ke, Yuxian Gu, Deming Ye, Yujia Qin, YuSheng Su, Haozhe Ji, Jian Guan, Fanchao Qi, Xiaozhi Wang, Yanan Zheng, Guoyang Zeng, Huanqi Cao, Shengqi Chen, Daixuan Li, Zhenbo Sun, Zhiyuan Liu, Minlie Huang, Wentao Han, Jie Tang, Juanzi Li, Xiaoyan Zhu, Maosong Sun:
CPM: A Large-scale Generative Chinese Pre-trained Language Model. CoRR abs/2012.00413 (2020)
2010 – 2019
- 2019
- [c2]Nitish Kumar Srivastava, Hongbo Rong, Prithayan Barua, Guanyu Feng, Huanqi Cao, Zhiru Zhang, David H. Albonesi, Vivek Sarkar, Wenguang Chen, Paul Petersen, Geoff Lowney, Adam Herr, Christopher J. Hughes, Timothy G. Mattson, Pradeep Dubey:
T2S-Tensor: Productively Generating High-Performance Spatial Hardware for Dense Tensor Computations. FCCM 2019: 181-189 - 2017
- [c1]Chenzhi Liao, Junshi Chen, Wenting Han, Huanqi Cao, Zhichao Su, Wanwang Yin, Hong An:
A hierarchical grid algorithm for accelerating high-performance conjugate gradient benchmark on sunway many-core processor. ICCIP 2017: 361-368
Coauthor Index
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