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09/17/2023
Performance of Graph Neural Networks for Point Cloud Applications
Graph Neural Networks (GNNs) have gained significant momentum recently d...
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08/04/2023
Exploiting On-chip Heterogeneity of Versal Architecture for GNN Inference Acceleration
Graph Neural Networks (GNNs) have revolutionized many Machine Learning (...
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05/11/2023
Graph Neural Network for Accurate and Low-complexity SAR ATR
Synthetic Aperture Radar (SAR) Automatic Target Recognition (ATR) is the...
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03/22/2023
Dynasparse: Accelerating GNN Inference through Dynamic Sparsity Exploitation
Graph Neural Network (GNN) inference is used in many real-world applicat...
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03/02/2023
HitGNN: High-throughput GNN Training Framework on CPU+Multi-FPGA Heterogeneous Platform
As the size of real-world graphs increases, training Graph Neural Networ...
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02/02/2023
GraphAGILE: An FPGA-based Overlay Accelerator for Low-latency GNN Inference
This paper presents GraphAGILE, a domain-specific FPGA-based overlay acc...
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01/04/2023
Accurate, Low-latency, Efficient SAR Automatic Target Recognition on FPGA
Synthetic aperture radar (SAR) automatic target recognition (ATR) is the...
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08/22/2022
Performance Modeling Sparse MTTKRP Using Optical Static Random Access Memory on FPGA
Electrical static random memory (E-SRAM) is the current standard for int...
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06/17/2022
Low-latency Mini-batch GNN Inference on CPU-FPGA Heterogeneous Platform
Mini-batch inference of Graph Neural Networks (GNNs) is a key problem in...
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03/10/2022
Model-Architecture Co-Design for High Performance Temporal GNN Inference on FPGA
Temporal Graph Neural Networks (TGNNs) are powerful models to capture te...
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12/22/2021
