GNU Parallel - News
GNU Parallel 20161222 ('Castro') released
Item posted by Ole Tange <tange> on Thu 22 Dec 2016 01:07:42 PM UTC.
GNU Parallel 20161222 ('Castro') has been released. It is available for download at: http://ftpmirror.gnu.org/parallel/
Haiku of the month:
CSV is great:
Simple format to import.
Use --results
-- Ole Tange
- --results foo.csv will save output as a CSV-file. Can be directly imported into R or LibreCalc.
- When using --pipepart a negative --block-size is not interpreted as a block size but as the number of blocks each jobslot should have.
- --sqlmaster/--sqlandworker will append jobs to the DBURL if the DBURL is prepended with +.
- GNU Parallel was cited in: A cloud-based workflow to quantify transcript-expression levels in public cancer compendia http://www.nature.com/articles/srep39259
- GNU Parallel was cited in: Learning string distance with smoothing for OCR spelling correction http://paperity.org/p/78557440/learning-string-distance-with-smoothing-for-ocr-spelling-correction
- GNU Parallel was cited in: Transient compute clustering with GNU Parallel and sshfs https://gist.github.com/Brainiarc7/24c966c8a001061ee86cc4bc05826bf4
- GNU Parallel was cited in: Determination of crystal structures of proteins of unknown identity using a marathon molecular replacement procedure: Structure of Stenotrophomonas maltophilia phosphate-binding protein https://www.researchgate.net/publication/308186413_Determination_of_crystal_structures_of_proteins_of_unknown_identity_using_a_marathon_molecular_replacement_procedure_Structure_of_Stenotrophomonas_maltophilia_phosphate-binding_protein
- GNU Parallel was cited in: The Outer Solar System Origins Survey: I. Design and First-Quarter Discoveries https://arxiv.org/pdf/1511.02895v2.pdf
- GNU Parallel was cited in: Large-scale benchmarking reveals false discoveries and count transformation sensitivity in 16S rRNA gene amplicon data analysis methods used in microbiome studies http://microbiomejournal.biomedcentral.com/articles/10.1186/s40168-016-0208-8
- GNU Parallel was cited in: Decomposing Images into Layers via RGB-space Geometry https://cs.gmu.edu/~ygingold/singleimage/Decomposing%20Images%20into%20Layers%20via%20RGB-space%20Geometry%20(Tan%20et%20al%202016%20TOG)%20small.pdf
- 4 Ways to Batch Convert Your PNG to JPG and Vice-Versa http://www.tecmint.com/linux-image-conversion-tools/
- All's Fair in Love and Distributed Storage http://cohesity.com/blog/alls-fair-love-distributed-storage/
- How can I use GNU Parallel to run a lot of commands in parallel https://www.msi.umn.edu/support/faq/how-can-i-use-gnu-parallel-run-lot-commands-parallel
- 정해영의 블로그 - JEONG Haeyoung's blog http://blog.genoglobe.com/2016/11/gnu-parallel.html
- 在Linux下将PNG和JPG批量互转的四种方法 http://os.51cto.com/art/201612/524182.htm
- Running in parallel http://tomkimpson.com/howto/gnuparallel/
- Taco Bell Parallel Programming https://giorgos.sealabs.net/taco-bell-parallel-programming.html
- 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 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.
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://www.gnu.org/s/parallel/merchandise.html
- 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.
Powered by Savane 3.14-8aba.
Corresponding source code