GNU Parallel - News: GNU Parallel 20140622 ('Brazil') released

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GNU Parallel 20140622 ('Brazil') released

Item posted by Ole Tange <tange> on Mon 23 Jun 2014 01:41:48 AM UTC.

GNU Parallel 20140622 ('Brazil') has been released. It is available for download at: http://ftp.gnu.org/gnu/parallel/

Haiku of the month:

goodbye to xargs
quoting is still a black art
welcome parallel
-- Malcolm Cook

New in this release:

--shebang and --shebang-wrap now works on FreeBSD.

--pipepart works with --header, --regexp, --cat and --fifo.

./configure --disable-documentation will not build documentation.

{%} works as job slot.

GNU Parallel was cited in: Energy Efficient, High-speed Communication in WSNs https://gupea.ub.gu.se/bitstream/2077/35801/1/gupea_2077_35801_1.pdf

GNU Parallel was cited in: Ferroelectric contributions to anomalous hysteresis in hybrid perovskite solar cells http://arxiv.org/pdf/1405.5810.pdf

Processes Paralleling to Speed up Computing and Tasks Execution in Linux http://kukuruku.co/hub/nix/processes-paralleling-to-speed-up-computing-and-tasks-execution-in-linux

Moving / Copying lots of s3 files quickly using gnu parallel http://blog.aclarke.eu/moving-copying-lots-of-s3-files-quickly-using-gnu-parallel/

Speeding up grep log queries with GNU Parallel http://www.tripwire.com/state-of-security/incident-detection/speeding-grep-queries-gnu-parallel/

Ubuntu - Gnu parallel - It's awesome http://kasunweranga.blogspot.dk/2014/06/ubuntu-gnu-parallel-its-awesome.html

Export quicklooks with vector overlay using TuiView http://spectraldifferences.wordpress.com/2014/03/08/export-quicklooks-with-vector-overlay-using-tuiview/

GNU Parallel指南 http://my.oschina.net/enyo/blog/271612

GNU parallelで違和感 http://jarp.does.notwork.org/diary/201405c.html#201405301

Bug fixes and man page updates.

GNU Parallel - For people who live life in the parallel lane.

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/

You can install GNU Parallel in just 10 seconds with: (wget -O - pi.dk/3 || curl pi.dk/3/) | bash

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

Walk through the tutorial (man parallel_tutorial). Your commandline will love you for it.

When using programs that use GNU Parallel to process data for 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.