GNU Parallel - News
GNU Parallel 20110722 ('Murdoch') released
Item posted by Ole Tange <tange> on Fri 22 Jul 2011 09:52:10 AM UTC.
GNU Parallel 20110722 ('Murdoch') has been released. It is available for download at: http://ftp.gnu.org/gnu/parallel/
New in this release:
- niceload: --hard will suspend a program if a limit is reached - as opposed to just slowing the program down.
- niceload: --soft will slow the program down - as opposed to suspending the program completely.
- niceload: --run-io will slow down a program if disk io goes above a certain limit.
- niceload: --run-load will slow down a program if loadaverage goes above a certain limit.
- niceload: --run-mem will slow down a program if free memory goes below a certain limit.
- niceload: --run-noswap will slow down a program if the computer is swapping.
- niceload: --start-io, --start-load, --start-mem, --start-noswap will defer starting a program until the system is below the limit.
- --io, --load, --mem, and --noswap sets both --run-* and --start-*.
- niceload got a major rewrite and is now object oriented.
- GNU Parallel was presented at Nordic Perl Workshop 2011. http://conferences.yapceurope.org/npw2011/talk/3416
- Blog post about zcat and GNU Parallel. Thanks to Dr. John. http://drjohnstechtalk.com/blog/2011/06/gnu-parallel-really-helps-with-zcat/
- 2 blog posts in Japanese. Thanks to Negima. http://d.hatena.ne.jp/negima1976/20110607/1307412660 http://d.hatena.ne.jp/negima1976/20110628/1309252494
- Blog post for bioinformatics. Thanks to Chris Miller. http://chrisamiller.com/science/2010/05/26/use-parallel-for-easy-multi-processor-execution/
- Bug fixes and man page updates.
About GNU Parallel
GNU Parallel is a shell tool for executing jobs in parallel using one or more computers. A job is can be a single command or a small script that has to be run for each of the lines in the input. The typical input is a list of files, a list of hosts, a list of users, a list of URLs, or a list of tables. A job can also be a command that reads from a pipe. GNU Parallel can then split the input and pipe it into commands in parallel.
If you use xargs and tee today you will find GNU Parallel very easy to use as GNU Parallel is written to have the same options as xargs. If you write loops in shell, you will find GNU Parallel may be able to replace most of the loops and make them run faster by running several jobs in parallel. GNU Parallel can even replace nested loops.
GNU Parallel makes sure output from the commands is the same output as you would get had you run the commands sequentially. This makes it possible to use output from GNU Parallel as input for other programs.
You can find more about GNU Parallel at: http://www.gnu.org/software/parallel/
Watch the intro video on http://www.youtube.com/watch?v=OpaiGYxkSuQ or at http://tinyogg.com/watch/TORaR/ and http://tinyogg.com/watch/hfxKj/
When using GNU Parallel for a publication please cite:
O. Tange (2011): GNU Parallel - The Command-Line Power Tool, ;login: The USENIX Magazine, February 2011:42-47.
About GNU SQL
GNU sql aims to give a simple, unified interface for accessing databases through all the different databases' command line clients. So far the focus has been on giving a common way to specify login information (protocol, username, password, hostname, and port number), size (database and table size), and running queries.
The database is addressed using a DBURL. If commands are left out you will get that database's interactive shell.
When using GNU SQL for a publication please cite:
O. Tange (2011): GNU SQL - A Command Line Tool for Accessing Different Databases Using DBURLs, ;login: The USENIX Magazine, April 2011:29-32.
About GNU Niceload
GNU niceload slows down a program when the computer load average (or other system activity) is above a certain limit. When the limit is reached the program will be suspended for some time. If the limit is a soft limit the program will be allowed to run for short amounts of time before being suspended again. If the limit is a hard limit the program will only be allowed to run when the system is below the limit.
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