https://github.com/anodicpassion/hybrid_gpu-accelerated_huffman_encoding
This project demonstrates a hybrid implementation of Huffman Encoding, combining GPU-accelerated frequency analysis using CuPy with traditional CPU-based Huffman tree construction and encoding. It runs smoothly on Google Colab with GPU support.
https://github.com/anodicpassion/hybrid_gpu-accelerated_huffman_encoding
cupy gpu-acceleration huffman-encoding
Last synced: about 1 year ago
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This project demonstrates a hybrid implementation of Huffman Encoding, combining GPU-accelerated frequency analysis using CuPy with traditional CPU-based Huffman tree construction and encoding. It runs smoothly on Google Colab with GPU support.
- Host: GitHub
- URL: https://github.com/anodicpassion/hybrid_gpu-accelerated_huffman_encoding
- Owner: anodicpassion
- License: mit
- Created: 2025-04-17T12:58:38.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-04-17T13:12:26.000Z (about 1 year ago)
- Last Synced: 2025-04-18T04:08:37.232Z (about 1 year ago)
- Topics: cupy, gpu-acceleration, huffman-encoding
- Language: Jupyter Notebook
- Homepage: https://colab.research.google.com/drive/1xR_gPCnK5FuTSfRaqT-2-Bg1MYMp4ZJJ?usp=sharing
- Size: 11.7 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0