* sql now uses a temporary credentials file for MySQL to avoid warning.
* --sqlmaster and --sqlworker have been reworked.
* --sqlworker only reads from the DBURL: any command and any arguments are ignored.
* --sqlmaster +DBURL will append commands to the DBURL and not erase the table.
* If --results contain a replacement string, no tree structure with args will be generated.
* --fg --tmux or --fg --tmuxpane will connect to the tmux.
* GNU Parallel was cited in: Fast, Automated Indoor Light Detection, Classification, and Measurement https://www2.eecs.berkeley.edu/Pubs/TechRpts/2016/EECS-2016-212.pdf
* GNU Parallel was cited in: Unbiased RNA Shotgun Metagenomics in Social and Solitary Wild Bees Detects Associations with Eukaryote Parasites and New Viruses http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0168456
* GNU Parallel was cited in: Almost Event-Rate Independent Monitoring of Metric Temporal Logic http://people.inf.ethz.ch/trayteld/papers/tacas17-aerial/aerial.pdf
* GNU Parallel as a queuing system: http://puntoblogspot.blogspot.com/2017/01/gnu-parallel-as-queuing-system.html
* AWS re:Invent 2016: Deep Dive on Amazon Elastic File System (STG202) slide 45 http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-deep-dive-on-amazon-elastic-file-system-stg202 and https://youtu.be/PlTuJx4VnGw?t=30m16s
* << 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>>
* <<Citation needed: 3D-GNOME: an integrated web service for structural modeling of the 3D genome http://nar.oxfordjournals.org/content/early/2016/05/16/nar.gkw437.full.pdf+html>>
* <<link No citation: Next-generation TCP for ns-3 simulator http://www.sciencedirect.com/science/article/pii/S1569190X15300939>>
* <<link No citation: Scalable metagenomics alignment research tool (SMART): a scalable, rapid, and complete search heuristic for the classification of metagenomic sequences from complex sequence populations http://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-016-1159-6#Bib1>>
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.
