Atefeh Sohrabizadeh

According to our database, Atefeh Sohrabizadeh authored at least 22 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Customized Computing and Machine Learning

Atefeh Sohrabizadeh

PhD thesis, 2024

Hierarchical Mixture of Experts: Generalizable Learning for High-Level Synthesis.

Weikai Li, Ding Wang, Zijian Ding, Atefeh Sohrabizadeh, Zongyue Qin, Jason Cong, Yizhou Sun

CoRR, 2024

Efficient Task Transfer for HLS DSE.

Zijian Ding, Atefeh Sohrabizadeh, Weikai Li, Zongyue Qin, Yizhou Sun, Jason Cong

CoRR, 2024

Cross-Modality Program Representation Learning for Electronic Design Automation with High-Level Synthesis.

Zongyue Qin, Yunsheng Bai, Atefeh Sohrabizadeh, Zijian Ding, Ziniu Hu, Yizhou Sun, Jason Cong

Proceedings of the 2024 ACM/IEEE International Symposium on Machine Learning for CAD, 2024

Learning to Compare Hardware Designs for High-Level Synthesis.

Yunsheng Bai, Atefeh Sohrabizadeh, Zijian Ding, Rongjian Liang, Weikai Li, Ding Wang, Haoxing Ren, Yizhou Sun, Jason Cong

Proceedings of the 2024 ACM/IEEE International Symposium on Machine Learning for CAD, 2024

2023

FlexCNN: An End-to-end Framework for Composing CNN Accelerators on FPGA.

Suhail Basalama, Atefeh Sohrabizadeh, Jie Wang, Licheng Guo, Jason Cong

ACM Trans. Reconfigurable Technol. Syst., June, 2023

A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware.

Shichang Zhang, Atefeh Sohrabizadeh, Cheng Wan, Zijie Huang, Ziniu Hu, Yewen Wang, Yingyan Lin, Jason Cong, Yizhou Sun

CoRR, 2023

Democratizing Domain-Specific Computing.

Yuze Chi, Weikang Qiao, Atefeh Sohrabizadeh, Jie Wang, Jason Cong

Commun. ACM, 2023

Towards a Comprehensive Benchmark for High-Level Synthesis Targeted to FPGAs.

Yunsheng Bai, Atefeh Sohrabizadeh, Zongyue Qin, Ziniu Hu, Yizhou Sun, Jason Cong

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Robust GNN-Based Representation Learning for HLS.

Atefeh Sohrabizadeh, Yunsheng Bai, Yizhou Sun, Jason Cong

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

2022

AutoDSE: Enabling Software Programmers to Design Efficient FPGA Accelerators.

Atefeh Sohrabizadeh, Cody Hao Yu, Min Gao, Jason Cong

ACM Trans. Design Autom. Electr. Syst., 2022

OverGen: Improving FPGA Usability through Domain-specific Overlay Generation.

Sihao Liu, Jian Weng, Dylan Kupsh, Atefeh Sohrabizadeh, Zhengrong Wang, Licheng Guo, Jiuyang Liu, Maxim Zhulin, Rishabh Mani, Lucheng Zhang, Jason Cong, Tony Nowatzki

Proceedings of the 55th IEEE/ACM International Symposium on Microarchitecture, 2022

Sextans: A Streaming Accelerator for General-Purpose Sparse-Matrix Dense-Matrix Multiplication.

Linghao Song, Yuze Chi, Atefeh Sohrabizadeh, Young-kyu Choi, Jason Lau, Jason Cong

Proceedings of the FPGA '22: The 2022 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, Virtual Event, USA, 27 February 2022, 2022

SPA-GCN: Efficient and Flexible GCN Accelerator with Application for Graph Similarity Computation.

Atefeh Sohrabizadeh, Yuze Chi, Jason Cong

Proceedings of the FPGA '22: The 2022 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, Virtual Event, USA, 27 February 2022, 2022

A Versatile Systolic Array for Transposed and Dilated Convolution on FPGA.

Suhail Basalama, Atefeh Sohrabizadeh, Jie Wang, Jason Cong

Proceedings of the 30th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2022

Automated accelerator optimization aided by graph neural networks.

Atefeh Sohrabizadeh, Yunsheng Bai, Yizhou Sun, Jason Cong

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

Improving GNN-based accelerator design automation with meta learning.

Yunsheng Bai, Atefeh Sohrabizadeh, Yizhou Sun, Jason Cong

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

StreamGCN: Accelerating Graph Convolutional Networks with Streaming Processing.

Atefeh Sohrabizadeh, Yuze Chi, Jason Cong

Proceedings of the IEEE Custom Integrated Circuits Conference, 2022

2021

Enabling Automated FPGA Accelerator Optimization Using Graph Neural Networks.

Atefeh Sohrabizadeh, Yunsheng Bai, Yizhou Sun, Jason Cong

CoRR, 2021

SPA-GCN: Efficient and Flexible GCN Accelerator with an Application for Graph Similarity Computation.

Atefeh Sohrabizadeh, Yuze Chi, Jason Cong

CoRR, 2021

AutoDSE: Enabling Software Programmers Design Efficient FPGA Accelerators.

Atefeh Sohrabizadeh, Cody Hao Yu, Min Gao, Jason Cong

Proceedings of the FPGA '21: The 2021 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, Virtual Event, USA, February 28, 2021

2020

End-to-End Optimization of Deep Learning Applications.

Atefeh Sohrabizadeh, Jie Wang, Jason Cong

Proceedings of the FPGA '20: The 2020 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2020