Huanqi Cao

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 20

Top Topics

Conjugate Gradient

Data Processing

Top Venues

Proc. VLDB Endow.

Publications

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)
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 (2024)
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 (2024)
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) (2023)
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 (2023)
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) (2023)
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 (2023)
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 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)
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)
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)
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)
Huanqi Cao, Jiajie Chen
Design and Implementation of ShenWei Universal C/C++. CoRR (2022)
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)
Huanqi Cao, Shizhi Tang, Bowen Yu, Wenguang Chen
Programming Matrices as Staged Sparse Rows to Generate Efficient Matrix-free Differential Equation Solver. CoRR (2022)
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 (2021)
Bowen Yu, Huanqi Cao, Tianyi Shan, Haojie Wang, Xiongchao Tang, Wenguang Chen
Sparker: Efficient Reduction for More Scalable Machine Learning with Spark. ICPP (2021)
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) (2021)
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 (2020)
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)
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)