Stefan Abi-Karam

According to our database, Stefan Abi-Karam authored at least 7 papers between 2022 and 2024.

Collaborative distances:

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

2024

HLSFactory: A Framework Empowering High-Level Synthesis Datasets for Machine Learning and Beyond.

Stefan Abi-Karam, Rishov Sarkar, Allison Seigler, Sean Lowe, Zhigang Wei, Hanqiu Chen, Nanditha Rao, Lizy Kurian John, Aman Arora, Cong Hao

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

2023

GNNBuilder: An Automated Framework for Generic Graph Neural Network Accelerator Generation, Simulation, and Optimization.

Stefan Abi-Karam, Cong Hao

Softw. Pract. Exp., November, 2023

INR-Arch: A Dataflow Architecture and Compiler for Arbitrary-Order Gradient Computations in Implicit Neural Representation Processing.

Stefan Abi-Karam, Rishov Sarkar, Dejia Xu, Zhiwen Fan, Zhangyang Wang, Cong Hao

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

FlowGNN: A Dataflow Architecture for Real-Time Workload-Agnostic Graph Neural Network Inference.

Rishov Sarkar, Stefan Abi-Karam, Yuqi He, Lakshmi Sathidevi, Cong Hao

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2023

M5: Multi-modal Multi-task Model Mapping on Multi-FPGA with Accelerator Configuration Search.

Akshay Karkal Kamath, Stefan Abi-Karam, Ashwin Bhat, Cong Hao

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

2022

FlowGNN: A Dataflow Architecture for Universal Graph Neural Network Inference via Multi-Queue Streaming.

Rishov Sarkar, Stefan Abi-Karam, Yuqi He, Lakshmi Sathidevi, Cong Hao

CoRR, 2022

GenGNN: A Generic FPGA Framework for Graph Neural Network Acceleration.

Stefan Abi-Karam, Yuqi He, Rishov Sarkar, Lakshmi Sathidevi, Zihang Qiao, Cong Hao

CoRR, 2022