Item posted by Ole Tange <tange> on Wed 22 Apr 2020 09:13:22 PM UTC.

GNU Parallel 20200422 ('10years') [stable] has been released. It is available for download at: http://ftpmirror.gnu.org/parallel/



No new functionality was introduced in parallel so this is a good candidate for a stable release.



This release celebrates GNU Parallel's 10 years as a GNU tool:



> commit ed2dfb1043768154d4e7678e01e10287155fa834

> Author: Ole Tange <ole@tange.dk>

> Date: Thu Apr 22 01:23:00 2010 +0200

>

> Name change: Parallel is now GNU Parallel.

> Basic structure for sshlogin and sshloginfile.





Unfortunately the physical celebrations has been cancelled due to COVID19.



Quote of the month:



I wish more command line software had example pages as robust as GNU Parallel

-- Lucidbeaming @lucidbeaming



New in this release:



parsort makes GNU sort run faster for files with more than 1M lines.

Bug fixes and man page updates.

News about GNU Parallel:



Several clusters have updated their documentation of GNU Parallel: https://www.grid5000.fr/w/GNU_Parallel https://research-it.berkeley.edu/virtual-training-running-jobs-parallel-savio http://www.hpc.lsu.edu/training/archive/tutorials.php

add_pho uses GNU Parallel: https://github.com/SeedlingsBabylab/add_pho

GNU parallel使用笔记https://zhuanlan.zhihu.com/p/37340011

Virtual Workshop: Running Jobs in Parallel on Savio https://ais.berkeley.edu/events/virtual-workshop-running-jobs-parallel-savio/2020-04-20

Free Concurrency with GNU Parallel https://phili.pe/posts/free-concurrency-with-gnu-parallel/

Get the book: GNU Parallel 2018 http://www.lulu.com/shop/ole-tange/gnu-parallel-2018/paperback/product-23558902.html



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 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.



For example you can run this to convert all jpeg files into png and gif files and have a progress bar:



parallel --bar convert {1} {1.}.{2} ::: *.jpg ::: png gif



Or you can generate big, medium, and small thumbnails of all jpeg files in sub dirs:



find . -name '*.jpg' |

parallel convert -geometry {2} {1} {1//}/thumb{2}_{1/} :::: - ::: 50 100 200



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 || lynx -source pi.dk/3 || curl pi.dk/3/ || \

fetch -o - http://pi.dk/3 ) > install.sh

$ sha1sum install.sh | grep 3374ec53bacb199b245af2dda86df6c9

12345678 3374ec53 bacb199b 245af2dd a86df6c9

$ md5sum install.sh | grep 029a9ac06e8b5bc6052eac57b2c3c9ca

029a9ac0 6e8b5bc6 052eac57 b2c3c9ca

$ sha512sum install.sh | grep f517006d9897747bed8a4694b1acba1b

40f53af6 9e20dae5 713ba06c f517006d 9897747b ed8a4694 b1acba1b 1464beb4

60055629 3f2356f3 3e9c4e3c 76e3f3af a9db4b32 bd33322b 975696fc e6b23cfb

$ bash install.sh



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



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



When using programs that use GNU Parallel to process data for publication please cite:



O. Tange (2018): GNU Parallel 2018, March 2018, https://doi.org/10.5281/zenodo.1146014.



If you like GNU Parallel:



Give a demo at your local user group/team/colleagues

Post the intro videos on Reddit/Diaspora*/forums/blogs/ Identi.ca/Google+/Twitter/Facebook/Linkedin/mailing lists

Get the merchandise https://gnuparallel.threadless.com/designs/gnu-parallel

Request or write a review for your favourite blog or magazine

Request or build a package for your favourite distribution (if it is not already there)

Invite me for your next conference

If you use programs that use GNU Parallel for research:



Please cite GNU Parallel in you publications (use --citation)

If GNU Parallel saves you money:



(Have your company) donate to FSF https://my.fsf.org/donate/

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.

