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  2. Smallpdf.com - Wikipedia

    en.wikipedia.org/wiki/Smallpdf.com

    The idea came from the need for their families to compress and send large documents via email. [5] The initial version of the site featured a standalone PDF compression tool. [6] Since then, the online platform has introduced over 16 PDF tools to convert, compress and edit PDF documents. [7]

  3. List of archive formats - Wikipedia

    en.wikipedia.org/wiki/List_of_archive_formats

    The compression algorithm is a modified LZSS, with an adaptive Huffman coding. .genozip application/ vnd.genozip: genozip: Linux, macOS, Windows Genozip, a compressor for genomic file formats such as FASTQ, BAM, VCF and others. [4].gz application/ gzip [5] gzip: Unix-like GNU Zip, the primary compression format used by Unix-like systems.

  4. bzip2 - Wikipedia

    en.wikipedia.org/wiki/Bzip2

    bzip2 is a free and open-source file compression program that uses the Burrows–Wheeler algorithm.It only compresses single files and is not a file archiver.It relies on separate external utilities such as tar for tasks such as handling multiple files, and other tools for encryption, and archive splitting.

  5. rzip - Wikipedia

    en.wikipedia.org/wiki/Rzip

    It allows the program to compress files that are about 10x larger than RAM available. Decompression performed either by reading data from decompressed part of file, or by storing in the memory future matches (future-LZ compression algorithm). Of course, future-LZ compression requires 2 passes over input file but decompression needs tiny memory.

  6. Lion Cove - Wikipedia

    en.wikipedia.org/wiki/Lion_Cove

    The new 192 KB L1 cache in the Lion Cove core acts as a mid-level buffer cache between the L0 data and instruction caches inside the core and the L2 cache outside the core. It is focussed on reducing latency in the event of L0 data cache misses rather than needing to access the L2 cache.

  7. Data compression ratio - Wikipedia

    en.wikipedia.org/wiki/Data_compression_ratio

    Lossless compression of digitized data such as video, digitized film, and audio preserves all the information, but it does not generally achieve compression ratio much better than 2:1 because of the intrinsic entropy of the data. Compression algorithms which provide higher ratios either incur very large overheads or work only for specific data ...

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