* << kontakt GNU Parallel was used (unfortunately without citation) in: Instrumentation and Trace Analysis for Ad-hoc Python Workflows in Cloud Environments http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7214035>>
* <<Har angiveligt submittet ny version - afventer opdatering>> GNU Parallel was used (unfortunately without citation) in: MUGBAS: a species free gene-based programme suite for post-GWAS analysis http://www.ncbi.nlm.nih.gov/pubmed/25765345
* <<Afventer updateret publisering>> GNU Parallel was used in: Large Scale Author Name Disambiguation in Digital Libraries http://ieeexplore.ieee.org/xpl/abstractReferences.jsp?tp=&arnumber=7004487&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D7004487
* <<kontaktet 2015-06-22 Afventer svar fra journal>> GNU Parallel was used (unfortunately with wrong citation) in: TADSim: Discrete Event-Based Performance Prediction for Temperature-Accelerated Dynamics http://vruehle.de/publications/2015c.pdf
* << Update forventet juni Rachel har lige svaret >> GNU Parallel was used in: SISRS: Site Identification from Short Read Sequences https://github.com/rachelss/SISRS/
* <<Citation needed: Introspecting for RSA Key Material to Assist Intrusion Detection http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=7331177&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D7331177>>
* :::+ and ::::+ work like ::: and :::: but links this input source to the previous input source in a --xapply fashion. Contrary to --xapply values do not wrap: The shortest input source determines the length.
* --line-buffer --keep-order now outputs continously from the oldest job still running. This is more what you would expect than the earlier behaviour where --keep-order had no effect with --line-buffer.
* env_parallel supports tcsh, csh, pdksh. In fish it now supports arrays. In csh/tcsh it now supports variables, aliases, and arrays with no special chars. In pdksh it supports aliases, functions, variables, and arrays.
* Function exporting on Mac OS X works around old Bash version.
* GNU Parallel was cited in: How Can We Measure the Similarity Between Resumes of Selected Candidates for a Job? https://www.researchgate.net/publication/275954089_How_can_we_measure_the_similarity_between_resumes_of_selected_candidates_for_a_job
* GNU Parallel was cited in: Automatic Methods for Assisted Recruitment https://www.researchgate.net/publication/297738658_Automatic_Methods_for_Assisted_Recruitment
* GNU Parallel was cited in: Tools and techniques for computational reproducibility http://biorxiv.org/content/biorxiv/early/2016/03/17/022707.full.pdf
* GNU Parallel was cited in: Reinterpretation of ATLAS 8 TeV searches for Natural SUSY with a R-Sneutrino LSP http://arxiv.org/pdf/1603.06130.pdf
* GNU Parallel was cited in: An Operational Radiometric Landsat Preprocessing Framework for Large-Area Time Series Applications https://www.uni-trier.de/fileadmin/fb6/prof/FER/Publikationen/frantz_et_al_ieee-tgrs-2016-post-print.pdf
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.
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.
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.
