| Efficient memory management for large language model serving with pagedattention W Kwon, Z Li, S Zhuang, Y Sheng, L Zheng, CH Yu, J Gonzalez, H Zhang, ... Proceedings of the 29th Symposium on Operating Systems Principles, 611-626, 2023 | 1380 | 2023 |
| Automated systolic array architecture synthesis for high throughput CNN inference on FPGAs X Wei, CH Yu, P Zhang, Y Chen, Y Wang, H Hu, Y Liang, J Cong Proceedings of the 54th Annual Design Automation Conference 2017, 1-6, 2017 | 511 | 2017 |
| Ansor: Generating {High-Performance} tensor programs for deep learning L Zheng, C Jia, M Sun, Z Wu, CH Yu, A Haj-Ali, Y Wang, J Yang, D Zhuo, ... 14th USENIX symposium on operating systems design and implementation (OSDI …, 2020 | 444 | 2020 |
| HeteroCL: A multi-paradigm programming infrastructure for software-defined reconfigurable computing YH Lai, Y Chi, Y Hu, J Wang, CH Yu, Y Zhou, J Cong, Z Zhang Proceedings of the 2019 ACM/SIGDA International Symposium on Field …, 2019 | 120 | 2019 |
| Programming and runtime support to blaze FPGA accelerator deployment at datacenter scale M Huang, D Wu, CH Yu, Z Fang, M Interlandi, T Condie, J Cong Proceedings of the Seventh ACM Symposium on Cloud Computing, 456-469, 2016 | 115 | 2016 |
| AutoDSE: Enabling software programmers to design efficient FPGA accelerators A Sohrabizadeh, CH Yu, M Gao, J Cong ACM Transactions on Design Automation of Electronic Systems (TODAES) 27 (4 …, 2022 | 103 | 2022 |
| TGPA: Tile-grained pipeline architecture for low latency CNN inference X Wei, Y Liang, X Li, CH Yu, P Zhang, J Cong 2018 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 1-8, 2018 | 86 | 2018 |
| Automated accelerator generation and optimization with composable, parallel and pipeline architecture J Cong, P Wei, CH Yu, P Zhang Proceedings of the 55th Annual Design Automation Conference, 1-6, 2018 | 86 | 2018 |
| Efficiently Programming Large Language Models using SGLang. L Zheng, L Yin, Z Xie, J Huang, C Sun, CH Yu, S Cao, C Kozyrakis, ... arXiv, 2023 | 79 | 2023 |
| Systems and methods for systolic array design from a high-level program P Zhang, CH Yu, X Wei, P Pan US Patent 10,838,910, 2020 | 75 | 2020 |
| Tensorir: An abstraction for automatic tensorized program optimization S Feng, B Hou, H Jin, W Lin, J Shao, R Lai, Z Ye, L Zheng, CH Yu, Y Yu, ... Proceedings of the 28th ACM International Conference on Architectural …, 2023 | 71 | 2023 |
| Bandwidth Optimization Through On-Chip Memory Restructuring for HLS J Cong, P Wei, CH Yu, P Zhou | 66 | 2017 |
| The SMEM Seeding Acceleration for DNA Sequence Alignment MCF Chang, YT Chen, J Cong, PT Huang, CL Kuo, CH Yu The 24th IEEE International Symposium on Field-Programmable Custom Computing …, 2016 | 65 | 2016 |
| S2FA: An accelerator automation framework for heterogeneous computing in datacenters CH Yu, P Wei, M Grossman, P Zhang, V Sarker, J Cong Proceedings of the 55th Annual Design Automation Conference, 1-6, 2018 | 53 | 2018 |
| On the preconditioner of conjugate gradient method: a power grid simulation perspective CH Chou, NY Tsai, H Yu, CR Lee, Y Shi, SC Chang Proceedings of the International Conference on Computer-Aided Design, 494-497, 2010 | 42 | 2010 |
| DietCode: Automatic optimization for dynamic tensor programs B Zheng, Z Jiang, CH Yu, H Shen, J Fromm, Y Liu, Y Wang, L Ceze, ... Proceedings of Machine Learning and Systems 4, 848-863, 2022 | 40 | 2022 |
| Best-effort FPGA programming: A few steps can go a long way J Cong, Z Fang, Y Hao, P Wei, CH Yu, C Zhang, P Zhou arXiv preprint arXiv:1807.01340, 2018 | 37 | 2018 |
| Sglang: Efficient execution of structured language model programs L Zheng, L Yin, Z Xie, CL Sun, J Huang, CH Yu, S Cao, C Kozyrakis, ... Advances in Neural Information Processing Systems 37, 62557-62583, 2025 | 36 | 2025 |
| Tensor program optimization with probabilistic programs J Shao, X Zhou, S Feng, B Hou, R Lai, H Jin, W Lin, M Masuda, CH Yu, ... Advances in Neural Information Processing Systems 35, 35783-35796, 2022 | 30 | 2022 |
| Analysis and optimization of the implicit broadcasts in FPGA HLS to improve maximum frequency L Guo, J Lau, Y Chi, J Wang, CH Yu, Z Chen, Z Zhang, J Cong 2020 57th ACM/IEEE Design Automation Conference (DAC), 1-6, 2020 | 30 | 2020 |
Jingsheng Jason CongVolgenau Chair for Engineering Excellence, Computer Science and Electrical Engineering, UniversityPatvirtintas el. paštas cs.ucla.edu
