| 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 |
| 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 | 71* | 2022 |
| 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 | 56* | 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 | 55 | 2020 |
| 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 | 39 | 2023 |
| 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 | 37 | 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 | 31 | 2023 |
| Democratizing domain-specific computing Y Chi, W Qiao, A Sohrabizadeh, J Wang, J Cong Communications of the ACM 66 (1), 74-85, 2022 | 26 | 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 | 25 | 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 | 15 | 2022 |
| 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 | 9 | 2023 |
| Streamgcn: accelerating graph convolutional networks with streaming processing A Sohrabizadeh, Y Chi, J Cong 2022 IEEE Custom Integrated Circuits Conference (CICC), 1-8, 2022 | 9* | 2022 |
| Cross-modality program representation learning for electronic design automation with high-level synthesis Z Qin, Y Bai, A Sohrabizadeh, Z Ding, Z Hu, Y Sun, J Cong Proceedings of the 2024 ACM/IEEE International Symposium on Machine Learning …, 2024 | 4* | 2024 |
| Efficient task transfer for HLS DSE Z Ding, A Sohrabizadeh, W Li, Z Qin, Y Sun, J Cong arXiv preprint arXiv:2408.13270, 2024 | 3 | 2024 |
| 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 | 2 | 2022 |
| GNN-Based Performance Prediction of Quantum Optimization of Maximum Independent Set A Sohrabizadeh, WH Lin, DB Tan, M Cain, ST Wang, MD Lukin, J Cong The 43rd International Conference on Computer-Aided Design, 2024 | 1 | 2024 |
| System and method to accelerate graph feature extraction A Sohrabizadeh US Patent App. 17/530,452, 2022 | 1 | 2022 |
| Hierarchical Mixture of Experts: Generalizable Learning for High-Level Synthesis W Li, D Wang, Z Ding, A Sohrabizadeh, Z Qin, J Cong, Y Sun arXiv preprint arXiv:2410.19225, 2024 | | 2024 |
| Harnessing GNNs for Robust Representation Learning in High-Level Synthesis A Sohrabizadeh, Y Bai, Y Sun, J Cong IEEE Transactions on Circuits and Systems for Artificial Intelligence, 2024 | | 2024 |
| Learning to Compare Hardware Designs for High-Level Synthesis Y Bai, A Sohrabizadeh, Z Ding, R Liang, W Li, D Wang, H Ren, Y Sun, ... Proceedings of the 2024 ACM/IEEE International Symposium on Machine Learning …, 2024 | | 2024 |
Jingsheng Jason CongVolgenau Chair for Engineering Excellence, Computer Science and Electrical Engineering, UniversityGeverifieerd e-mailadres voor cs.ucla.edu