nvcomp VS isa-l

NVIDIA nvcomp had GDeflate significantly earlier on the GPGPU side: https://github.com/NVIDIA/nvcomp. nvcomp releases before 2.3 were open-source.

In case of rANS patent, beside individual donations, also organizations blocked by given patent could donate - e.g. JPEG, Google, Nvidia, Facebook here.

Your link to https://github.com/NVIDIA/nvcomp, is broken because of the comma at the end.

For using accelerators (QAT, I assume, because the article is about this) from the CLI, then QATzip[3] comes with a command line tool qatzip which can be used as described in the project ReadMe. I didn't test it, though, as I have no QAT-enabled device.

[1] https://github.com/intel/isa-l/tree/master/igzip

Ex 1: https://github.com/intel/isa-l/blob/master/README.md

Examples: - Someone I know created machine-optimized library in c and asm to accelerate compression, erasure coding, and encryption on Intel Xeon CPUs (https://github.com/intel/isa-l) which runs those ops WAY faster than the standard linux libraries. - My friend is making a retro SEGA genesis game using a C and asm dev kit (https://github.com/Stephane-D/SGDK)

igzip (https://github.com/intel/isa-l) is much faster than gzip or pigz when it comes to decompression, 2-3x in my experience. There is also a Python module (isal) that provides a GzipFile-like wrapper class, for an easy speed-up of Python scripts that read gzipped files.

However, it only supports up to level 3 when compressing data, so it can't be used as a drop-in replacement for gzip. You also need to make sure to use the latest version if you are going to use it in the context of bioinformatics, since older versions choke on concatenated gzip files common in that field.