fpga_cnn_accelerator

Hardware acceleration of CNN inference on FPGA vs GPU. Achieved 85.59% accuracy on Zynq-7020 with 1.45W power vs GPU's 70W. Full implementation with interactive performance visualizations.

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0 Forks

2 Watchers

Jupyter Notebook Language

53.9 SrcLog Score

Cost to Build

$3.9K

Market Value

$2.1K

How is this calculated?

Growth over time

2 data points · 2026-04-18 → 2026-04-25

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What is the Msundara19/fpga_cnn_accelerator GitHub project? Description: "Hardware acceleration of CNN inference on FPGA vs GPU. Achieved 85.59% accuracy on Zynq-7020 with 1.45W power vs GPU's 70W. Full implementation with interactive performance visualizations.". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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git clone https://github.com/Msundara19/fpga_cnn_accelerator.git

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[email protected]:Msundara19/fpga_cnn_accelerator.git

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Download master.zip

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