Huanqi Cao

According to our database, Huanqi Cao authored at least 18 papers between 2017 and 2024.

Collaborative distances:

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

2024

Extending the limit of LR-TDDFT on two different approaches: Numerical algorithms and new Sunway heterogeneous supercomputer.

Qingcai Jiang, Zhenwei Cao, Xinhui Cui, Lingyun Wan, Xinming Qin, Huanqi Cao, Hong An, Junshi Chen, Jie Liu, Wei Hu, Jinlong Yang

Parallel Comput., 2024

SampleAttention: Near-Lossless Acceleration of Long Context LLM Inference with Adaptive Structured Sparse Attention.

Qianchao Zhu, Jiangfei Duan, Chang Chen, Siran Liu, Xiuhong Li, Guanyu Feng, Xin Lv, Huanqi Cao, Xiao Chuanfu, Xingcheng Zhang, Dahua Lin, Chao Yang

CoRR, 2024

AdaPipe: Optimizing Pipeline Parallelism with Adaptive Recomputation and Partitioning.

Zhenbo Sun, Huanqi Cao, Yuanwei Wang, Guanyu Feng, Shengqi Chen, Haojie Wang, Wenguang Chen

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023

Mat2Stencil: A Modular Matrix-Based DSL for Explicit and Implicit Matrix-Free PDE Solvers on Structured Grid.

Huanqi Cao, Shizhi Tang, Qianchao Zhu, Bowen Yu, Wenguang Chen

Proc. ACM Program. Lang., October, 2023

TriCache: A User-Transparent Block Cache Enabling High-Performance Out-of-Core Processing with In-Memory Programs.

Guanyu Feng, Huanqi Cao, Xiaowei Zhu, Bowen Yu, Yuanwei Wang, Zixuan Ma, Shengqi Chen, Wenguang Chen

ACM Trans. Storage, May, 2023

PowerFusion: A Tensor Compiler with Explicit Data Movement Description and Instruction-level Graph IR.

Zixuan Ma, Haojie Wang, Jingze Xing, Liyan Zheng, Chen Zhang, Huanqi Cao, Kezhao Huang, Shizhi Tang, Penghan Wang, Jidong Zhai

CoRR, 2023

RWKV: Reinventing RNNs for the Transformer Era.

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

CoRR, 2023

RWKV: Reinventing RNNs for the Transformer Era.

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Design and Implementation of ShenWei Universal C/C++.

Huanqi Cao, Jiajie Chen

CoRR, 2022

Programming Matrices as Staged Sparse Rows to Generate Efficient Matrix-free Differential Equation Solver.

Huanqi Cao, Shizhi Tang, Bowen Yu, Wenguang Chen

CoRR, 2022

Scaling Graph 500 SSSP to 140 Trillion Edges with over 40 Million Cores.

Yuanwei Wang, Huanqi Cao, Zixuan Ma, Wanwang Yin, Wenguang Chen

Proceedings of the SC22: International Conference for High Performance Computing, 2022

BaGuaLu: targeting brain scale pretrained models with over 37 million cores.

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

Proceedings of the PPoPP '22: 27th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Seoul, Republic of Korea, April 2, 2022

Scaling graph traversal to 281 trillion edges with 40 million cores.

Huanqi Cao, Yuanwei Wang, Haojie Wang, Heng Lin, Zixuan Ma, Wanwang Yin, Wenguang Chen

Proceedings of the PPoPP '22: 27th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Seoul, Republic of Korea, April 2, 2022

2021

Chukonu: A Fully-Featured Big Data Processing System by Efficiently Integrating a Native Compute Engine into Spark.

Bowen Yu, Guanyu Feng, Huanqi Cao, Xiaohan Li, Zhenbo Sun, Haojie Wang, Xiaowei Zhu, Weimin Zheng, Wenguang Chen

Proc. VLDB Endow., 2021

CPM: A large-scale generative Chinese Pre-trained language model.

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

AI Open, 2021

Sparker: Efficient Reduction for More Scalable Machine Learning with Spark.

Bowen Yu, Huanqi Cao, Tianyi Shan, Haojie Wang, Xiongchao Tang, Wenguang Chen

Proceedings of the ICPP 2021: 50th International Conference on Parallel Processing, Lemont, IL, USA, August 9, 2021

2019

T2S-Tensor: Productively Generating High-Performance Spatial Hardware for Dense Tensor Computations.

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

Proceedings of the 27th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2019

2017

A hierarchical grid algorithm for accelerating high-performance conjugate gradient benchmark on sunway many-core processor.

Chenzhi Liao, Junshi Chen, Wenting Han, Huanqi Cao, Zhichao Su, Wanwang Yin, Hong An

Proceedings of the 3rd International Conference on Communication and Information Processing, 2017