GNU Parallel Bug Reports GNU Parallel 20140222 ('Euromaidan') released

[Ole Tange]

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.