Atefeh Sohrabizadeh

Orcid: 0000-0002-1156-3306

According to our database1, Atefeh Sohrabizadeh authored at least 17 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
FlexCNN: An End-to-end Framework for Composing CNN Accelerators on FPGA.
ACM Trans. Reconfigurable Technol. Syst., June, 2023

A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware.
CoRR, 2023

Democratizing Domain-Specific Computing.
Commun. ACM, 2023

Towards a Comprehensive Benchmark for High-Level Synthesis Targeted to FPGAs.
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.
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

2022
AutoDSE: Enabling Software Programmers to Design Efficient FPGA Accelerators.
ACM Trans. Design Autom. Electr. Syst., 2022

OverGen: Improving FPGA Usability through Domain-specific Overlay Generation.
Proceedings of the 55th IEEE/ACM International Symposium on Microarchitecture, 2022

Sextans: A Streaming Accelerator for General-Purpose Sparse-Matrix Dense-Matrix Multiplication.
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.
Proceedings of the FPGA '22: The 2022 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, Virtual Event, USA, 27 February 2022, 2022

Automated Accelerator Optimization Aided by Graph Neural Networks.
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.
Proceedings of the 30th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2022

Improving GNN-based accelerator design automation with meta learning.
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.
Proceedings of the IEEE Custom Integrated Circuits Conference, 2022

2021
Enabling Automated FPGA Accelerator Optimization Using Graph Neural Networks.
CoRR, 2021

SPA-GCN: Efficient and Flexible GCN Accelerator with an Application for Graph Similarity Computation.
CoRR, 2021

AutoDSE: Enabling Software Programmers Design Efficient FPGA Accelerators.
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.
Proceedings of the FPGA '20: The 2020 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2020


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