Atefeh Sohrabizadeh

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 23

Top Topics

Similarity Computation

Design Automation

Top Venues

ACM Trans. Reconfigurable Technol. Syst.

Publications

Zongyue Qin, Yunsheng Bai, Atefeh Sohrabizadeh, Zijian Ding, Ziniu Hu, Yizhou Sun, Jason Cong
Cross-Modality Program Representation Learning for Electronic Design Automation with High-Level Synthesis. CoRR (2024)
Yuze Chi, Weikang Qiao, Atefeh Sohrabizadeh, Jie Wang, Jason Cong
Democratizing Domain-Specific Computing. Commun. ACM 66 (1) (2023)
Atefeh Sohrabizadeh, Yunsheng Bai, Yizhou Sun, Jason Cong
Robust GNN-Based Representation Learning for HLS. ICCAD (2023)
Yunsheng Bai, Atefeh Sohrabizadeh, Zongyue Qin, Ziniu Hu, Yizhou Sun, Jason Cong
ProgSG: Cross-Modality Representation Learning for Programs in Electronic Design Automation. CoRR (2023)
Yunsheng Bai, Atefeh Sohrabizadeh, Zongyue Qin, Ziniu Hu, Yizhou Sun, Jason Cong
Towards a Comprehensive Benchmark for High-Level Synthesis Targeted to FPGAs. NeurIPS (2023)
Shichang Zhang, Atefeh Sohrabizadeh, Cheng Wan, Zijie Huang, Ziniu Hu, Yewen Wang, Yingyan Lin, Jason Cong, Yizhou Sun
A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware. CoRR (2023)
Suhail Basalama, Atefeh Sohrabizadeh, Jie Wang, Licheng Guo, Jason Cong
FlexCNN: An End-to-end Framework for Composing CNN Accelerators on FPGA. ACM Trans. Reconfigurable Technol. Syst. 16 (2) (2023)
Atefeh Sohrabizadeh, Yunsheng Bai, Yizhou Sun, Jason Cong
Automated Accelerator Optimization Aided by Graph Neural Networks. FPGA (2022)
Atefeh Sohrabizadeh, Cody Hao Yu, Min Gao, Jason Cong
AutoDSE: Enabling Software Programmers to Design Efficient FPGA Accelerators. ACM Trans. Design Autom. Electr. Syst. 27 (4) (2022)
Yuze Chi, Weikang Qiao, Atefeh Sohrabizadeh, Jie Wang, Jason Cong
Democratizing Domain-Specific Computing. CoRR (2022)
Atefeh Sohrabizadeh, Yunsheng Bai, Yizhou Sun, Jason Cong
Automated accelerator optimization aided by graph neural networks. DAC (2022)
Yunsheng Bai, Atefeh Sohrabizadeh, Yizhou Sun, Jason Cong
Improving GNN-based accelerator design automation with meta learning. DAC (2022)
Sihao Liu, Jian Weng, Dylan Kupsh, Atefeh Sohrabizadeh, Zhengrong Wang, Licheng Guo, Jiuyang Liu, Maxim Zhulin, Rishabh Mani, Lucheng Zhang, Jason Cong, Tony Nowatzki
OverGen: Improving FPGA Usability through Domain-specific Overlay Generation. MICRO (2022)
Atefeh Sohrabizadeh, Yuze Chi, Jason Cong
SPA-GCN: Efficient and Flexible GCN Accelerator with Application for Graph Similarity Computation. FPGA (2022)
Linghao Song, Yuze Chi, Atefeh Sohrabizadeh, Young-kyu Choi, Jason Lau, Jason Cong
Sextans: A Streaming Accelerator for General-Purpose Sparse-Matrix Dense-Matrix Multiplication. FPGA (2022)
Suhail Basalama, Atefeh Sohrabizadeh, Jie Wang, Jason Cong
A Versatile Systolic Array for Transposed and Dilated Convolution on FPGA. FCCM (2022)
Atefeh Sohrabizadeh, Yuze Chi, Jason Cong
StreamGCN: Accelerating Graph Convolutional Networks with Streaming Processing. CICC (2022)
Atefeh Sohrabizadeh, Yuze Chi, Jason Cong
SPA-GCN: Efficient and Flexible GCN Accelerator with an Application for Graph Similarity Computation. CoRR (2021)
Atefeh Sohrabizadeh, Yunsheng Bai, Yizhou Sun, Jason Cong
Enabling Automated FPGA Accelerator Optimization Using Graph Neural Networks. CoRR (2021)
Atefeh Sohrabizadeh, Cody Hao Yu, Min Gao, Jason Cong
AutoDSE: Enabling Software Programmers Design Efficient FPGA Accelerators. FPGA (2021)
Linghao Song, Yuze Chi, Atefeh Sohrabizadeh, Young-kyu Choi, Jason Lau, Jason Cong
Sextans: A Streaming Accelerator for General-Purpose Sparse-Matrix Dense-Matrix Multiplication. CoRR (2021)
Atefeh Sohrabizadeh, Jie Wang, Jason Cong
End-to-End Optimization of Deep Learning Applications. FPGA (2020)
Atefeh Sohrabizadeh, Cody Hao Yu, Min Gao, Jason Cong
AutoDSE: Enabling Software Programmers Design Efficient FPGA Accelerators. CoRR (2020)