Elliott Delaye

According to our database1, Elliott Delaye authored at least 9 papers between 2017 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
xDNN: Inference for Deep Convolutional Neural Networks.
ACM Trans. Reconfigurable Technol. Syst., 2022

CGRA4HPC 2022 Invited Speaker: Mapping ML to the AMD/Xilinx AIE-ML architecture.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

Hardware-aware Neural Architecture Search with segmentation-based selection.
Proceedings of the 5th International Conference on Information and Computer Technologies, 2022

2021
Bring Your Own Codegen to Deep Learning Compiler.
CoRR, 2021

Neural network pruning for biomedical image segmentation.
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021

2020
Neural network pruning and hardware acceleration.
Proceedings of the 13th IEEE/ACM International Conference on Utility and Cloud Computing, 2020

2018
Quantizing Convolutional Neural Networks for Low-Power High-Throughput Inference Engines.
CoRR, 2018

Exploration and Tradeoffs of different Kernels in FPGA Deep Learning Applications.
Proceedings of the 2018 International Symposium on Physical Design, 2018

2017
Deep learning challenges and solutions with Xilinx FPGAs.
Proceedings of the 2017 IEEE/ACM International Conference on Computer-Aided Design, 2017


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