Stefan Abi-Karam

Profile

Hello! I am a Ph.D. student at Georgia Tech working on AI for chip design research.

This includes traditional design automation of hardware accelerators, machine learning (ML) for electronic design automation (EDA), datasets for EDA, and using large language models (LLMs) for high-level synthesis and HDL design, along with tool automation. I work in the SHARC Lab under Prof. Callie Hao.

Publications

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

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, L. John, Aman Arora, Cong Hao

Workshop on Machine Learning for CAD 2024

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Evaluating Large Language Models for High-Level Synthesis

Evaluating Large Language Models for High-Level Synthesis

Ali Rizvi, Nia Simon, Janet Tocho, Asil Yongaci, Stefan Abi-Karam, Cong Hao

2024 IEEE Opportunity Research Scholars Symposium (ORSS) 2024

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

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

2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD) 2023

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Cask HLS: A Better Development Tool for Vitis HLS

Cask HLS: A Better Development Tool for Vitis HLS

Andrew Nazareth, Bernardo Perez, Rachel Paul, James Root, Ritarka Samanta, William Vaught, Stefan Abi-Karam, Rishov Sarkar, Cong Hao

2023 IEEE International Opportunity Research Scholars Symposium (ORSS) 2023

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

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

A. Kamath, Stefan Abi-Karam, Ashwin Bhat, Cong Hao

Design, Automation and Test in Europe 2023

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

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

Stefan Abi-Karam, Cong Hao

International Conference on Field-Programmable Logic and Applications 2023

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

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

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

International Symposium on High-Performance Computer Architecture 2022

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GenGNN: A Generic FPGA Framework for Graph Neural Network Acceleration

GenGNN: A Generic FPGA Framework for Graph Neural Network Acceleration

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

arXiv.org 2022

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

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

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

arXiv.org 2022

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