* Security: The security issue for --sshlogin + --fifo/--cat has been fixed. Thereby all issues with http://lists.gnu.org/archive/html/parallel/2015-04/msg00045.html have been fixed.
* Security: After further security analysis the issue fixed in 20150422 also fixed the problem for --tmux.
* <<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 2015-05-09>> 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
* GNU Parallel was cited in: CIDER: a pipeline for detecting waves of coordinated transcriptional regulation in gene expression time-course data http://biorxiv.org/content/biorxiv/early/2015/03/17/012518.full.pdf
* GNU Parallel was cited in: Building Genomic Analysis Pipelines in a Hackathon Setting with Bioinformatician Teams: DNA-seq, Epigenomics, Metagenomics and RNA-seq http://biorxiv.org/content/biorxiv/early/2015/05/05/018085.full.pdf
* GNU Parallel was cited in: Toward Enhanced Metadata Quality of Large-Scale Digital Libraries: Estimating Volume Time Range https://www.ideals.illinois.edu/bitstream/handle/2142/73656/186_ready.pdf
* GNU Parallel was cited in: Sequencing the cap-snatching repertoire of H1N1 influenza provides insight into the mechanism of viral transcription initiation http://nar.oxfordjournals.org/content/early/2015/04/20/nar.gkv333.full.pdf
* GNU Parallel was cited in: Genome assembly using Nanopore-guided long and error-free DNA reads http://www.biomedcentral.com/content/pdf/s12864-015-1519-z.pdf
* GNU Parallel was cited in: Contrasting regional architectures of schizophrenia and other complex diseases using fast variance components analysis http://biorxiv.org/content/biorxiv/early/2015/03/13/016527.full.pdf
* GNU Parallel was used (unfortunately with wrong citation) in: Comparing the CarbonTracker and TM5-4DVar data assimilation systems for CO2 surface flux inversions http://www.atmos-chem-phys-discuss.net/15/8883/2015/acpd-15-8883-2015-discussion.html
* Execute commands on multiple computers using GNU Parallel (setting up a cluster on the cheap) https://spectraldifferences.wordpress.com/2015/04/26/execute-commands-on-multiple-computers-using-gnu-parallel-setting-up-a-cluster-on-the-cheap/
* Use parallel processing to save time importing databases http://drupalsun.com/node/41854
* Run multiple ssh commands in parallel with GNU Parallel http://www.ameir.net/blog/archives/380-run-multiple-ssh-commands-in-parallel-with-gnu-parallel.html
* Run multiple ssh commands in parallel with GNU Parallel https://www.ameir.net/blog/archives/380-run-multiple-ssh-commands-in-parallel-with-gnu-parallel.html/comment-page-1
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.
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.
