| 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 | 72 | 2022 |
| Sextans: A Streaming Accelerator for General-Purpose Sparse-Matrix Dense-Matrix Multiplication L Song, Y Chi, A Sohrabizadeh, Y Choi, J Lau, J Cong Proceedings of the 2022 ACM/SIGDA International Symposium on Field …, 2022 | 59* | 2022 |
| End-to-end Optimization of Deep Learning Applications A Sohrabizadeh, J Wang, J Cong Proceedings of the 2020 ACM/SIGDA International Symposium on Field …, 2020 | 49 | 2020 |
| Automated Accelerator Optimization Aided by Graph Neural Networks A Sohrabizadeh, Y Bai, Y Sun, J Cong Proceedings of the 59th ACM/IEEE Design Automation Conference, 55-60, 2022 | 35* | 2022 |
| OverGen: Improving FPGA usability through domain-specific overlay generation S Liu, J Weng, D Kupsh, A Sohrabizadeh, Z Wang, L Guo, J Liu, M Zhulin, ... 2022 55th IEEE/ACM International Symposium on Microarchitecture (MICRO), 35-56, 2022 | 28 | 2022 |
| FlexCNN: An End-to-End Framework for Composing CNN Accelerators on FPGA S Basalama, A Sohrabizadeh, J Wang, L Guo, J Cong ACM Transactions on Reconfigurable Technology and Systems 16 (2), 1-32, 2023 | 21 | 2023 |
| Democratizing domain-specific computing Y Chi, W Qiao, A Sohrabizadeh, J Wang, J Cong Communications of the ACM 66 (1), 74-85, 2022 | 18 | 2022 |
| A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware S Zhang, A Sohrabizadeh, C Wan, Z Huang, Z Hu, Y Wang, J Cong, ... arXiv preprint arXiv:2306.14052, 2023 | 11* | 2023 |
| Improving GNN-based accelerator design automation with meta learning Y Bai, A Sohrabizadeh, Y Sun, J Cong Proceedings of the 59th ACM/IEEE Design Automation Conference, 1347-1350, 2022 | 8 | 2022 |
| StreamGCN: Accelerating graph convolutional networks with streaming processing A Sohrabizadeh, Y Chi, J Cong 2022 IEEE Custom Integrated Circuits Conference (CICC), 1-8, 2022 | 7* | 2022 |
| Robust GNN-based representation learning for HLS A Sohrabizadeh, Y Bai, Y Sun, J Cong 2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD), 1-9, 2023 | 3 | 2023 |
| ProgSG: Cross-Modality Representation Learning for Programs in Electronic Design Automation Y Bai, A Sohrabizadeh, Z Qin, Z Hu, Y Sun, J Cong arXiv preprint arXiv:2305.10838, 2023 | 2 | 2023 |
| Towards a comprehensive benchmark for high-level synthesis targeted to FPGAs Y Bai, A Sohrabizadeh, Z Qin, Z Hu, Y Sun, J Cong Advances in Neural Information Processing Systems 36, 45288-45299, 2023 | 1 | 2023 |
| System and method to accelerate graph feature extraction A Sohrabizadeh US Patent App. 17/530,452, 2022 | 1 | 2022 |
| A versatile systolic array for transposed and dilated convolution on FPGA S Basalama, A Sohrabizadeh, J Wang, J Cong 2022 IEEE 30th Annual International Symposium on Field-Programmable Custom …, 2022 | 1 | 2022 |
| Customized Computing and Machine Learning A Sohrabizadeh UCLA, 2024 | | 2024 |
| IEEE/CEDA Awards R Oshana, SK Lim, S Reda, Z Zhang, R Kastner, M Vardi, P Wolper, ... | | |
Jingsheng Jason CongVolgenau Chair for Engineering Excellence, Computer Science and Electrical Engineering, University在 cs.ucla.edu 的电子邮件经过验证
