GNU Parallel 20151122 ('Kronan/Sharm el-Sheik/Bataclan') <<[stable]>> has been released. It is available for download at: http://ftp.gnu.org/gnu/parallel/
* << 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/
* GNU Parallel packaged for CERN CentOS: http://linuxsoft.cern.ch/cern/centos/7/cern/x86_64/repoview/parallel.html
* GNU Parallel was cited in: The Outer Solar System Origins Survey: I. Design and First-Quarter Discoveries http://arxiv.org/pdf/1511.02895.pdf
* GNU Parallel was cited in: Contrasting genetic architectures of schizophrenia and other complex diseases using fast variance-components analysis http://www.nature.com/ng/journal/vaop/ncurrent/full/ng.3431.html
* GNU Parallel was cited in: Named-Entity Chunking for Norwegian Text using Support Vector Machines http://ojs.bibsys.no/index.php/NIK/article/viewFile/248/211
* GNU Parallel was cited in: Multiscale Estimation of Binding Kinetics Using Brownian Dynamics, Molecular Dynamics and Milestoning http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1004381#pcbi.1004381.ref072
* GNU Parallel was cited in: A Detailed Characterization of Errors in Logic Circuits due to Single-Event Transients http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=7302348&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D7302348
* GNU Parallel was cited in: Exploiting Multiple Levels of Parallelism in Sparse Matrix-Matrix Multiplication http://arxiv.org/pdf/1510.00844.pdf
* GNU Parallel was cited in: Arabic Speaker Emotion Classification Using Rhythm Metrics and Neural Networks http://www.eurasip.org/Proceedings/Eusipco/Eusipco2015/papers/1570104855.pdf
* GNU Parallel was cited in: Stride Search: a general algorithm for storm detection in high resolution climate data http://www.geosci-model-dev-discuss.net/8/7727/2015/gmdd-8-7727-2015.pdf
* GNU Parallel was cited in: Decomposing Digital Paintings into Layers via RGB-space Geometry http://arxiv.org/pdf/1509.03335.pdf
* GNU Parallel was cited in: Structure and evolutionary history of a large family of NLR proteins in the zebrafish http://www.biorxiv.org/content/biorxiv/early/2015/09/18/027151.full.pdf
* GNU Parallel was cited in: Evolution of movement strategies under competitive interactions http://digital.csic.es/bitstream/10261/115973/1/evolution_movement_strategies_Kiziridis.pdf
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.
