Multi-threaded gzip
The traditional (yet very popular) gzip is a single-threaded application from the single-processor/single-core hardware era. Its just fine if you are compressing a few files occasionally, but it become a great pain when you are compressing 32,000 files on an 8-processor server and you suddenly figure out that you are using only 1/8 of your total processor power. Which means you should wait 8 times longer than if you could use all processing power on your machine. I encountered such case in which I should wait about 40 minutes to compress hundreds of gigabytes of a few thousand files, using traditional gzip, while I had one processor doing the whole job and 7 other processors were sitting idle.
So I thought there should be a way to speed-up the process. The most simple method I could use was to open up multiple terminal windows and run parallel copies of gzip, each of them to compress a specific set of files. While this method worked for me, but I was wondering why the gzip itself doesn’t support multi-threading.
The solution: pigz
I came across pigz after searching the internet for a multi-threaded gzip replacement. pigz is a drop-in replacement for gzip that supports parallel compression/decompression when multiple files are involved.
Figure 1: Running “systat -iostat 1” on a FreeBSD 7.2 machine running pigz
Using pigz, I could exploit more than 70% of my processing power. pigz also maintains compatibility with standard gzip command line parameter and supports all switches while adding “-p” command to specify maximum number of compression threads.

Thanks. This was very useful.
little but important point, thanx
Good job…
Is can this support mpi or is it only shared memory?
No mpi as far as I know
I had plenty of time on my hands while I was compressing a bunch of large files. It seemed like my Nehalem was doing about as good as Core 2 Duo. My curiosity got me checking the monitor wondering if gzip was smart enough to thread. Apparently not. The monitor showed I was using one core. I Googled and happened on your post. I appreciate you posting this. I will have to check it out.
Thanks, really good tool – I often compress 3-5GB files on 8-core machine and this tool speeds it up a lot!