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Stefan Abi-Karam
Stefan Abi-Karam
在 gatech.edu 的电子邮件经过验证 - 首页
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FlowGNN: A dataflow architecture for real-time workload-agnostic graph neural network inference
R Sarkar, S Abi-Karam, Y He, L Sathidevi, C Hao
2023 IEEE International Symposium on High-Performance Computer Architecture …, 2023
47*2023
GenGNN: A generic FPGA framework for graph neural network acceleration
S Abi-Karam, Y He, R Sarkar, L Sathidevi, Z Qiao, C Hao
arXiv preprint arXiv:2201.08475, 2022
172022
GNNBuilder: An Automated Framework for Generic Graph Neural Network Accelerator Generation, Simulation, and Optimization
S Abi-Karam, C Hao
arXiv preprint arXiv:2303.16459, 2023
62023
INR-Arch: A Dataflow Architecture and Compiler for Arbitrary-Order Gradient Computations in Implicit Neural Representation Processing
S Abi-Karam, R Sarkar, D Xu, Z Fan, Z Wang, C Hao
2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD), 1-9, 2023
22023
HLSFactory: A Framework Empowering High-Level Synthesis Datasets for Machine Learning and Beyond
S Abi-Karam, R Sarkar, A Seigler, S Lowe, Z Wei, H Chen, N Rao, L John, ...
arXiv preprint arXiv:2405.00820, 2024
2024
Cask HLS: A Better Development Tool for Vitis HLS
A Nazareth, B Perez, R Paul, J Root, R Samanta, W Vaught, S Abi-Karam, ...
2023 IEEE International Opportunity Research Scholars Symposium (ORSS), 20-23, 2023
2023
M5: Multi-modal Multi-task Model Mapping on Multi-FPGA with Accelerator Configuration Search
AK Kamath, S Abi-Karam, A Bhat, C Hao
2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), 1-6, 2023
2023
AN OPEN SOURCE FRAMEWORK FOR HIGH-LEVEL SYNTHESIS DATASET GENERATION FOR MACHINE LEARNING
S Abi-Karam, R Sarkar, A Seigler, S Lowe, Z Wei, H Chen, N Rao, L John, ...
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