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GNU Parallel 20111122 ('Silvio') released

Item posted by Ole Tange <tange> on Tue 22 Nov 2011 09:57:02 PM UTC.

GNU Parallel 20111122 ('Silvio') has been released. It is available for download at: http://ftp.gnu.org/gnu/parallel/

This is a bugfix release with no new features. Probably a good release for stable long-term use.

New in this release:

GNU Parallel package for Fedora.

https://admin.fedoraproject.org/pkgdb/acls/name/parallel

Using GNU Parallel with Mozilla cross referencing.

https://blog.mozilla.com/it/2011/11/15/mxr-improvements/

Neat flash presentation of GNU Parallel.

http://prezi.com/0nq74b2elgtx/about-gnu-parallel/

How to create tar files of dirs in parallel.

https://joneslee85.wordpress.com/2011/11/22/shell-tips-how-to-recursively-archive-many-folders/

Article in Admin Network&Security by Ben Martin.

http://www.admin-magazine.com/HPC/Articles/GNU-Parallel

Blog post in Polish.

http://blog.tiger.com.pl/2011/01/05/gnu-parallel/

Blog post on using GNU Parallel of Mac OS X.

http://www.0xcb0.com/2011/10/19/running-parallel-bash-tasks-on-os-x/

Blog post in English about using zip with GNU Parallel.

http://nuclear-imaging.info/site_content/2011/05/11/gnu-parallel/

Blog post in English by researcher.

http://zandyware.wordpress.com/2011/10/15/gnu-parallell-make-best-use-of-your-multicore-computer/

Blog entry in Chinese.

http://blog.csdn.net/tossense/article/details/6889026

Blog entry in Japanese on managing many servers.

http://hiroakis.com/blog/2011/11/13/gnu-parallel/

GNU Parallel is now part of ppbs.

http://physiology.med.cornell.edu/faculty/mason/lab/ppbs/introduction/introduction.html

How to use GNU Parallel with MCX.

http://mcx.sourceforge.net/cgi-bin/index.cgi?MMC/Doc/MMCCluster

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/s/parallel/

Watch the intro video on http://www.youtube.com/playlist?list=PL284C9FF2488BC6D1 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.