GUI and generator of the best compression parameters for perspective compressors: BSC and Kanzi. It uses all possible compression parameters and at the end it creates the smallest possible archive. BSC is a high performance file compressor based on lossless, block-sorting data compression algorithms. Multiple algorithms that allows software fine-tuning for maximum speed or compression efficiency. Kanzi is a modern, modular, portable and efficient lossless data compressor implemented in C++. Modern: state-of-the-art algorithms are implemented and multi-core CPUs can take advantage of the built-in multi-threading. Modular: entropy codec and a combination of transforms can be provided at runtime to best match the kind of data to compress. Unlike the most common lossless data compressors, Kanzi uses a variety of different compression algorithms and supports a wider range of compression ratios as a result. Most usual compressors do not take advantage of the many cores and threads available on modern CPUs. Kanzi is multithreaded by design and uses several threads by default to compress blocks concurrently.
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