Atefeh Sohrabizadeh

33 papers A* 6A 8Misc 1Journal 14Unranked 3
YearRankTypeTitle / Venue / Authors
2025 A* conf
Hierarchical Mixture of Experts: Generalizable Learning for High-Level Synthesis.
AAAI
Weikai Li, Ding Wang, Zijian Ding, Atefeh Sohrabizadeh, Zongyue Qin, Jason Cong, Yizhou Sun
2025 A* conf
Nemotron-CORTEXA: Enhancing LLM Agents for Software Engineering Tasks via Improved Localization and Solution Diversity.
ICML
Atefeh Sohrabizadeh, Jialin Song, Mingjie Liu, Rajarshi Roy, Chankyu Lee, Jonathan Raiman, Bryan Catanzaro
2024 — conf
Cross-Modality Program Representation Learning for Electronic Design Automation with High-Level Synthesis.
MLCAD
Zongyue Qin, Yunsheng Bai, Atefeh Sohrabizadeh, Zijian Ding, Ziniu Hu, Yizhou Sun, Jason Cong
2024 J jnl
Cross-Modality Program Representation Learning for Electronic Design Automation with High-Level Synthesis.
CoRR
Zongyue Qin, Yunsheng Bai, Atefeh Sohrabizadeh, Zijian Ding, Ziniu Hu, Yizhou Sun, Jason Cong
2024 — —
Customized Computing and Machine Learning
Atefeh Sohrabizadeh
2024 A conf
Efficient Task Transfer for HLS DSE.
ICCAD
Zijian Ding, Atefeh Sohrabizadeh, Weikai Li, Zongyue Qin, Yizhou Sun, Jason Cong
2024 J jnl
Efficient Task Transfer for HLS DSE.
CoRR
Zijian Ding, Atefeh Sohrabizadeh, Weikai Li, Zongyue Qin, Yizhou Sun, Jason Cong
2024 A conf
GNN-Based Performance Prediction of Quantum Optimization of Maximum Independent Set.
ICCAD
Atefeh Sohrabizadeh, Wan-Hsuan Lin, Daniel Bochen Tan, Madelyn Cain, Sheng-Tao Wang, Mikhail D. Lukin, Jason Cong
2024 J jnl
Harnessing GNNs for Robust Representation Learning in High-Level Synthesis.
IEEE Trans. Circuits Syst. Artif. Intell.
Atefeh Sohrabizadeh, Yunsheng Bai, Yizhou Sun, Jason Cong
2024 J jnl
Hierarchical Mixture of Experts: Generalizable Learning for High-Level Synthesis.
CoRR
Weikai Li, Ding Wang, Zijian Ding, Atefeh Sohrabizadeh, Zongyue Qin, Jason Cong, Yizhou Sun
2024 — conf
Learning to Compare Hardware Designs for High-Level Synthesis.
MLCAD
Yunsheng Bai, Atefeh Sohrabizadeh, Zijian Ding, Rongjian Liang, Weikai Li, Ding Wang, Haoxing Ren, Yizhou Sun, Jason Cong
2024 J jnl
Learning to Compare Hardware Designs for High-Level Synthesis.
CoRR
Yunsheng Bai, Atefeh Sohrabizadeh, Zijian Ding, Rongjian Liang, Weikai Li, Ding Wang, Haoxing Ren, Yizhou Sun, Jason Cong
2023 J jnl
A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware.
CoRR
Shichang Zhang, Atefeh Sohrabizadeh, Cheng Wan, Zijie Huang, Ziniu Hu, Yewen Wang, Yingyan Lin, Jason Cong, Yizhou Sun
2023 J jnl
Democratizing Domain-Specific Computing.
Commun. ACM
Yuze Chi, Weikang Qiao, Atefeh Sohrabizadeh, Jie Wang, Jason Cong
2023 J jnl
FlexCNN: An End-to-end Framework for Composing CNN Accelerators on FPGA.
ACM Trans. Reconfigurable Technol. Syst.
Suhail Basalama, Atefeh Sohrabizadeh, Jie Wang, Licheng Guo, Jason Cong
2023 A conf
Robust GNN-Based Representation Learning for HLS.
ICCAD
Atefeh Sohrabizadeh, Yunsheng Bai, Yizhou Sun, Jason Cong
2023 A* conf
Towards a Comprehensive Benchmark for High-Level Synthesis Targeted to FPGAs.
NeurIPS
Yunsheng Bai, Atefeh Sohrabizadeh, Zongyue Qin, Ziniu Hu, Yizhou Sun, Jason Cong
2022 Misc conf
A Versatile Systolic Array for Transposed and Dilated Convolution on FPGA.
FCCM
Suhail Basalama, Atefeh Sohrabizadeh, Jie Wang, Jason Cong
2022 J jnl
AutoDSE: Enabling Software Programmers to Design Efficient FPGA Accelerators.
ACM Trans. Design Autom. Electr. Syst.
Atefeh Sohrabizadeh, Cody Hao Yu, Min Gao, Jason Cong
2022 A conf
Automated Accelerator Optimization Aided by Graph Neural Networks.
FPGA
Atefeh Sohrabizadeh, Yunsheng Bai, Yizhou Sun, Jason Cong
2022 A* conf
Automated accelerator optimization aided by graph neural networks.
DAC
Atefeh Sohrabizadeh, Yunsheng Bai, Yizhou Sun, Jason Cong
2022 J jnl
Democratizing Domain-Specific Computing.
CoRR
Yuze Chi, Weikang Qiao, Atefeh Sohrabizadeh, Jie Wang, Jason Cong
2022 A* conf
Improving GNN-based accelerator design automation with meta learning.
DAC
Yunsheng Bai, Atefeh Sohrabizadeh, Yizhou Sun, Jason Cong
2022 A* conf
OverGen: Improving FPGA Usability through Domain-specific Overlay Generation.
MICRO
Sihao Liu, Jian Weng, Dylan Kupsh, Atefeh Sohrabizadeh, Zhengrong Wang, Licheng Guo, Jiuyang Liu, Maxim Zhulin, Rishabh Mani, Lucheng Zhang, Jason Cong, Tony Nowatzki
2022 A conf
SPA-GCN: Efficient and Flexible GCN Accelerator with Application for Graph Similarity Computation.
FPGA
Atefeh Sohrabizadeh, Yuze Chi, Jason Cong
2022 A conf
Sextans: A Streaming Accelerator for General-Purpose Sparse-Matrix Dense-Matrix Multiplication.
FPGA
Linghao Song, Yuze Chi, Atefeh Sohrabizadeh, Young-kyu Choi, Jason Lau, Jason Cong
2022 — conf
StreamGCN: Accelerating Graph Convolutional Networks with Streaming Processing.
CICC
Atefeh Sohrabizadeh, Yuze Chi, Jason Cong
2021 A conf
AutoDSE: Enabling Software Programmers Design Efficient FPGA Accelerators.
FPGA
Atefeh Sohrabizadeh, Cody Hao Yu, Min Gao, Jason Cong
2021 J jnl
Enabling Automated FPGA Accelerator Optimization Using Graph Neural Networks.
CoRR
Atefeh Sohrabizadeh, Yunsheng Bai, Yizhou Sun, Jason Cong
2021 J jnl
SPA-GCN: Efficient and Flexible GCN Accelerator with an Application for Graph Similarity Computation.
CoRR
Atefeh Sohrabizadeh, Yuze Chi, Jason Cong
2021 J jnl
Sextans: A Streaming Accelerator for General-Purpose Sparse-Matrix Dense-Matrix Multiplication.
CoRR
Linghao Song, Yuze Chi, Atefeh Sohrabizadeh, Young-kyu Choi, Jason Lau, Jason Cong
2020 J jnl
AutoDSE: Enabling Software Programmers Design Efficient FPGA Accelerators.
CoRR
Atefeh Sohrabizadeh, Cody Hao Yu, Min Gao, Jason Cong
2020 A conf
End-to-End Optimization of Deep Learning Applications.
FPGA
Atefeh Sohrabizadeh, Jie Wang, Jason Cong