| Caffeine: Toward uniformed representation and acceleration for deep convolutional neural networks C Zhang, G Sun, Z Fang, P Zhou, P Pan, J Cong IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2018 | 741 | 2018 |
| SODA: stencil with optimized dataflow architecture Y Chi, J Cong, P Wei, P Zhou (Best Paper Nominee) 2018 IEEE/ACM International Conference on Computer …, 2018 | 137 | 2018 |
| A fully pipelined and dynamically composable architecture of CGRA J Cong, H Huang, C Ma, B Xiao, P Zhou 2014 IEEE 22nd Annual International Symposium on Field-Programmable Custom …, 2014 | 129 | 2014 |
| Bandwidth optimization through on-chip memory restructuring for HLS J Cong, P Wei, CH Yu, P Zhou Proceedings of the 54th Annual Design Automation Conference 2017, 1-6, 2017 | 67 | 2017 |
| Algorithm-hardware co-design of attention mechanism on FPGA devices X Zhang, Y Wu, P Zhou, X Tang, J Hu ACM Transactions on Embedded Computing Systems (TECS) 20 (5s), 1-24, 2021 | 54 | 2021 |
| CHARM: Composing Heterogeneous AcceleRators for Matrix Multiply on Versal ACAP Architecture J Zhuang, J Lau, H Ye, Z Yang, Y Du, J Lo, K Denolf, S Neuendorffer, ... https://dl.acm.org/doi/10.1145/3543622.3573210, https://dl.acm.org/doi/10 …, 2023 | 49 | 2023 |
| 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 | 36 | 2018 |
| ST-Accel: A high-level programming platform for streaming applications on FPGA Z Ruan, T He, B Li, P Zhou, J Cong 2018 IEEE 26th Annual International Symposium on Field-Programmable Custom …, 2018 | 34 | 2018 |
| Doppio: I/O-Aware Performance Analysis, Modeling and Optimization for In-Memory Computing Framework P Zhou, Z Ruan, Z Fang, M Shand, D Roazen, J Cong (Best Paper Nominee) International Symposium on Performance Analysis of …, 2018 | 30 | 2018 |
| Latte: Locality aware transformation for high-level synthesis J Cong, P Wei, CH Yu, P Zhou 2018 IEEE 26th Annual International Symposium on Field-Programmable Custom …, 2018 | 26 | 2018 |
| EF-Train: Enable Efficient On-device CNN Training on FPGA Through Data Reshaping for Online Adaptation or Personalization Y Tang, X Zhang, P Zhou, J Hu ACM Transactions on Design Automation of Embedded Systems (TODAES) Special …, 2022 | 23 | 2022 |
| H2H: heterogeneous model to heterogeneous system mapping with computation and communication awareness X Zhang, C Hao, P Zhou, A Jones, J Hu Proceedings of the 59th ACM/IEEE Design Automation Conference, 601-606, 2022 | 22 | 2022 |
| Caffeine: Towards Uniformed Representation and Acceleration for Deep Convolutional Neural Networks JC Chen Zhang, Zhenman Fang , Peipei Zhou , Peichen Pan (Donald O. Pederson Best Paper Award) International Conference on Computer …, 2016 | 18* | 2016 |
| CS-BWAMEM: A fast and scalable read aligner at the cloud scale for whole genome sequencing PZ Yu-Ting Chen, Jason Cong, Sen Li, Myron Peto, Paul Spellman, Peng Wei High Throughput Sequencing Algorithms and Applications (HiTSeq), Poster Session, 2015 | 18* | 2015 |
| High Performance, Low Power Matrix Multiply Design on ACAP: from Architecture, Design Challenges and DSE Perspectives J Zhuang, Z Yang, P Zhou 60th Annual Design Automation Conference 2023 (DAC'23), 2023 | 17 | 2023 |
| Mocha: Multinode cost optimization in heterogeneous clouds with accelerators P Zhou, J Sheng, CH Yu, P Wei, J Wang, D Wu, J Cong The 2021 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays …, 2021 | 16 | 2021 |
| Enabling on-device large language model personalization with self-supervised data selection and synthesis R Qin, J Xia, Z Jia, M Jiang, A Abbasi, P Zhou, J Hu, Y Shi Proceedings of the 61st ACM/IEEE Design Automation Conference, 1-6, 2024 | 15 | 2024 |
| SSR: Spatial Sequential Hybrid Architecture for Latency Throughput Tradeoff in Transformer Acceleration J Zhuang, Z Yang, S Ji, H Huang, AK Jones, J Hu, Y Shi, P Zhou https://dl.acm.org/doi/10.1145/3626202.3637569, 2024 | 14 | 2024 |
| Algorithm-hardware co-design for bqsr acceleration in genome analysis toolkit M Lo, Z Fang, J Wang, P Zhou, MCF Chang, J Cong 2020 IEEE 28th Annual International Symposium on Field-Programmable Custom …, 2020 | 14 | 2020 |
| Energy Efficiency of Full Pipelining: A Case Study for Matrix Multiplication P Zhou, H Park, Z Fang, J Cong, A DeHon 2016 IEEE 24th Annual International Symposium on Field-Programmable Custom …, 2016 | 14 | 2016 |
Jingsheng Jason CongVolgenau Chair for Engineering Excellence, Computer Science and Electrical Engineering, UniversityVerifierad e-postadress på cs.ucla.edu
