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  2. Hopper (microarchitecture) - Wikipedia

    en.wikipedia.org/wiki/Hopper_(microarchitecture)

    The compressor will automatically choose between several compression algorithms. [ 9 ] The Nvidia Hopper H100 increases the capacity of the combined L1 cache, texture cache, and shared memory to 256 KB.

  3. 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.

  4. List of archive formats - Wikipedia

    en.wikipedia.org/wiki/List_of_archive_formats

    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. The compression algorithm is Deflate, which combines LZSS with Huffman coding. .lz application/x-lzip lzip: Unix-like

  5. KGB Archiver - Wikipedia

    en.wikipedia.org/wiki/KGB_Archiver

    Written in Visual C++ by Tomasz Pawlak, KGB Archiver is designed to achieve a very high compression ratio. It has ten levels of compression, from very weak to maximum. However, at higher compression levels, the time required to compress a file increases significantly. [3] As a consequence, the program uses memory and CPU intensively.

  6. PDF - Wikipedia

    en.wikipedia.org/wiki/PDF

    PDF 2.0 defines 256-bit AES encryption as the standard for PDF 2.0 files. The PDF Reference also defines ways that third parties can define their own encryption systems for PDF. PDF files may be digitally signed, to provide secure authentication; complete details on implementing digital signatures in PDF are provided in ISO 32000-2.

  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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