GNU Parallel - News: GNU Parallel 20140222 ('Euromaidan') released

GNU Parallel 20140222 ('Euromaidan') released

Item posted by Ole Tange <tange> on Sat 22 Feb 2014 10:34:23 AM UTC.

GNU Parallel 20140222 ('Euromaidan') has been released. It is available for download at: http://ftp.gnu.org/gnu/parallel/

Packagers that default to --tollef should take note that --tollef is now retired after a full year of being obsolete.

The --compress change is so big that this release is of alpha quality.

New in this release:

• --tollef has been retired.

• --compress has be redesigned due to bugs.

• Format of --eta and --joblog has changed slightly.

• GNU Parallel was cited in: Speaker Verification and Keyword Spotting Systems for Forensic Applications http://lantana.tenet.res.in/website_files/thesis/Phd/srikanth.pdf

• GNU Parallel was cited in: Scaleable Code Clone Detection http://scg.unibe.ch/archive/phd/schwarz-phd.pdf

• GNU Parallel was cited in: Clone Detection that scales http://scg.unibe.ch/archive/masters/Vogt14a.pdf

• GNU Parallel was cited in: Scalable Positional Analysis for Studying Evolution of Nodes in Networks http://arxiv-web3.library.cornell.edu/pdf/1402.3797

• GNU Parallel was cited in: Aggregate Characterization of User Behavior in Twitter and Analysis of the Retweet Graph http://arxiv.org/pdf/1402.2671v1

• GNU Parallel was used (unfortunately without citation) in: Causal Network Models for Predicting Compound Targets and Driving Pathways in Cancer http://jbx.sagepub.com/content/early/2014/02/10/1087057114522690.full

• GNU Parallel was used (unfortunately without citation) in: Performance and Energy Efficiency of Common Compression / Decompression Utilities http://www.researchgate.net/publication/243962643_Performance_and_Energy_Efficiency_of_Common_CompressionDecompression_Utilities_An_Experimental_Study_in_Mobile_and_Workstation_Computer_Platforms/file/3deec51d1dbc0474f9.pdf

• GNU Parallel was used (unfortunately without citation) in: SpringFS: Bridging Agility and Performance in Elastic Distributed Storage http://www.istc-cc.cmu.edu/publications/papers/2014/SpringFS-FAST14.pdf

• GNU Parallel was recommended (without citation) in: Redesigning the Specificity of Protein-DNA Interactions with Rosetta http://link.springer.com/protocol/10.1007/978-1-62703-968-0_17

• GNU Parallel is co-distributed with RepeatExplorer http://www.vcru.wisc.edu/simonlab/bioinformatics/programs/repeatexplorer/README.txt

• Convert MP3 to a scrolling spectrum waterfall plot video http://jdesbonnet.blogspot.dk/2014/02/convert-mp3-to-scrolling-spectrum.html

• PHP wrapper class for the GNU Parallel tool https://github.com/geopal-solutions/gnu-parallel-wrapper/tree/master

• Exploratory Data Analysis http://www.slideshare.net/thinrhino/gnunify

• Copias de archivos con rsync y parallel http://linuxmanr4.com/2014/02/20/copias-de-archivos-con-rsync-y-parallel

• Single-Thread-Programme auf Multicore-Rechnern parallelisieren http://www.adlerweb.info/blog/2014/02/08/linux-single-thread-programme-auf-multicore-rechnern-parallelisieren

• Распараллеливаем процессы для ускорения вычислений и выполнения заданий в Linux http://savepearlharbor.com/?p=210480

• 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/

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.