Takip et
Atefeh Sohrabizadeh
Atefeh Sohrabizadeh
Research Scientist @ NVIDIA | UCLA Ph.D.
cs.ucla.edu üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
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
1032022
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
76*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
562020
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
392023
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
372022
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
302023
Democratizing domain-specific computing
Y Chi, W Qiao, A Sohrabizadeh, J Wang, J Cong
Communications of the ACM 66 (1), 74-85, 2022
252022
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
242023
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
152022
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
92023
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
32024
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
22022
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
12024
System and method to accelerate graph feature extraction
A Sohrabizadeh
US Patent App. 17/530,452, 2022
12022
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
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