arXiv Open Access 2023

Parallel Data Compression Techniques

David Noel Elizabeth Graham Liyuan Liu

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Abstrak

With endless amounts of data and very limited bandwidth, fast data compression is one solution for the growing datasharing problem. Compression helps lower transfer times and save memory, but if the compression takes too long, this no longer seems viable. Multi-core processors enable parallel data compression; however, parallelizing the algorithms is anything but straightforward since compression is inherently serial. This paper explores techniques to parallelize three compression schemes: Huffman coding, LZSS, and MP3 coding

Topik & Kata Kunci

cs.DC

Penulis (3)

David Noel

Elizabeth Graham

Liyuan Liu

Format Sitasi

APA MLA BibTeX

Noel, D., Graham, E., Liu, L. (2023). Parallel Data Compression Techniques. https://arxiv.org/abs/2306.11070

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Informasi Jurnal

Tahun Terbit: 2023
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓