LZ4m: A fast compression algorithm for in-memory data
Compressing in-memory data is a cost-effective solution for dealing with the memory demand from data-intensive applications. This paper proposes a fast data compression algorithm for in-memory data that improves performance by utilizing the characteristics frequently observed from in-memory data.
- Issue Date
- 2017-01
- Language
- English
- Citation
2017 IEEE International Conference on Consumer Electronics, ICCE 2017, pp.420 - 423
- Appears in Collection
- RIMS Conference Papers
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