Amit Hasan

According to our database, Amit Hasan authored at least 9 papers between 2023 and 2025.

Collaborative distances:

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

2025

LLM-VeriPPA: Power, Performance, and Area Optimization aware Verilog Code Generation with Large Language Models.

Kiran Thorat, Jiahui Zhao, Yaotian Liu, Amit Hasan, Hongwu Peng, Xi Xie, Bin Lei, Caiwen Ding

Proceedings of the 7th ACM/IEEE Symposium on Machine Learning for CAD, 2025

TROJAN-GUARD: Hardware Trojans Detection Using GNN in RTL Designs.

Kiran Thorat, Amit Hasan, Caiwen Ding, Zhijie Shi

Proceedings of the International Joint Conference on Neural Networks, 2025

2024

ASPLOS 2024 Artifact for "MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks Training".

Hongwu Peng, Xi Xie, Kaustubh Shivdikar, Amit Hasan, Jiahui Zhao, Shaoyi Huang, Omer Khan, David R. Kaeli, Caiwen Ding

Dataset, February, 2024

ASPLOS 2024 Artifact for "MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks Training".

Hongwu Peng, Xi Xie, Kaustubh Shivdikar, Amit Hasan, Jiahui Zhao, Shaoyi Huang, Omer Khan, David R. Kaeli, Caiwen Ding

Dataset, February, 2024

PruneGNN: Algorithm-Architecture Pruning Framework for Graph Neural Network Acceleration.

Deniz Gurevin, Mohsin Shan, Shaoyi Huang, Md Amit Hasan, Caiwen Ding, Omer Khan

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2024

MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks Training.

Hongwu Peng, Xi Xie, Kaustubh Shivdikar, Md Amit Hasan, Jiahui Zhao, Shaoyi Huang, Omer Khan, David R. Kaeli, Caiwen Ding

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023

MaxK-GNN: Towards Theoretical Speed Limits for Accelerating Graph Neural Networks Training.

Hongwu Peng, Xi Xie, Kaustubh Shivdikar, Md Amit Hasan, Jiahui Zhao, Shaoyi Huang, Omer Khan, David R. Kaeli, Caiwen Ding

CoRR, 2023

Accel-GCN: High-Performance GPU Accelerator Design for Graph Convolution Networks.

Xi Xie, Hongwu Peng, Amit Hasan, Shaoyi Huang, Jiahui Zhao, Haowen Fang, Wei Zhang, Tong Geng, Omer Khan, Caiwen Ding

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

Ising-CF: A Pathbreaking Collaborative Filtering Method Through Efficient Ising Machine Learning.

Zhuo Liu, Yunan Yang, Zhenyu Pan, Anshujit Sharma, Amit Hasan, Caiwen Ding, Ang Li, Michael C. Huang, Tong Geng

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023