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GNU Parallel Bug Reports GNU Parallel 20160522 ('TTIPleaks') released

From: Ole Tange
Subject: GNU Parallel Bug Reports GNU Parallel 20160522 ('TTIPleaks') released
Date: Sun, 22 May 2016 15:01:17 +0200

GNU Parallel 20160522 ('TTIPleaks') has been released. It is available
for download at: http://ftp.gnu.org/gnu/parallel/

Haiku of the month:

  Programs using net
  only spare capacity
  niceload dash dash net
      -- Ole Tange

New in this release:

* niceload --net pauses the program if the internet connection is overloaded.

* Vote for GNU Parallel's community ad on

* Updated speed comparison between versions

* GNU Parallel was cited in: Improving computation efficiency by
parallel programming

* GNU Parallel was cited in: A supernova feedback implementation for
the astrophysical simulation software Arepo

* GNU Parallel was cited in: Lorenz-Mie theory for 2D scattering and
resonance calculations https://arxiv.org/pdf/1505.07691v2.pdf

* GNU Parallel was cited in: Host-pathogen co-evolution and the
emergence of broadly neutralizing antibodies in chronic infections

* GNU Parallel was cited in: Pacific People, Metabolic Disease and
Evolutionary Processes: a mitochondrial DNA study

* GNU Parallel was cited in: The effect of domain modeling on
efficiency of planning: Lessons from the Nomystery domain

* GNU Parallel was cited in: Oops, my tests broke the build: An
analysis of Travis CI buildswith GitHub

* GNU Parallel was cited in: Drosophila Muller F Elements Maintain a
Distinct Set of Genomic Properties Over 40 Million Years of Evolution

* GNU Parallel was cited in: An Empirical Comparison of Neural
Architectures for Reinforcement Learning in Partially Observable
Environments http://biorxiv.org/content/biorxiv/early/2016/03/24/022707.full.pdf

* GNU Parallel was cited in: Functional enrichments of disease
variants across thousands of independent loci in eight diseases

* GNU Parallel was cited in: PleaseTM: Enabling Transaction Conflict
Management in Requester-wins Hardware Transactional Memory

* GNU Parallel was cited in: EASE-MM: Sequence-Based Prediction of
Mutation-Induced Stability Changes with Feature-Based Multiple Models

* GNU Parallel was cited in: A new orthology assessment method for
phylogenomic data: Unrooted Phylogenetic Orthology

* GNU Parallel was cited in: Distinctive Interest Point Selection for
Efficient Near-duplicate Image Retrieval

* GNU Parallel was cited in: The Evolution of C Programming Practices:
A Study of the Unix Operating System 1973-2015
https://dl.acm.org/citation.cfm?id=2884799 (It has the cutest
thumbnail graphs I have ever seen scattered all over the text)

* GNU Parallel was cited in: StrAuto: Automation and Parallelization
of STRUCTURE Analysis

* GNU Parallel was cited in: Data processing pipeline for serial
femtosecond crystallography at SACLA

* GNU Parallel was cited in: Reconstruction of Fine-Scale Auroral
Dynamics http://arxiv.org/pdf/1512.01460.pdf

* GNU Parallel was cited in: The Outer Solar System Origins Survey: I.
Design and First-Quarter Discoveries

* GNU Parallel was cited in: Multiscale Estimation of Binding Kinetics
Using Brownian Dynamics, Molecular Dynamics and Milestoning

* GNU Parallel was cited in: Genomic legacy of the African cheetah,
Acinonyx jubatus

* GNU Parallel was cited in: Don't Forget to Lock the Back Door! A
Characterization of IPv6 Network Security Policy

* GNU Parallel was cited in: Comprehensive Annotation of the
Parastagonospora nodorum Reference Genome Using Next-Generation
Genomics, Transcriptomics and Proteogenomics

* GNU Parallel was cited in: Stride Search: a general algorithm for
storm detection in high-resolution climate data

* GNU Parallel was cited in: How attention influences perceptual
decision making: Single-trial EEG correlates of drift-diffusion model
parameters http://www.cidlab.com/prints/nunez2016attention.pdf

* GNU Parallel was cited in: Telomere And Proximal Sequence Analysis
Using High-Throughput Sequencing Reads

* GNU Parallel was cited in: AT-GIS: Highly Parallel Spatial Query
Processing with Associative Transducers

* GNU Parallel was cited in: PVAIR: Partial Variable Assignment
InterpolatoR http://verify.inf.usi.ch/sites/default/files/main-2.pdf

* GNU Parallel was cited in: Comparative Cladistics: Fossils,
Morphological Data Partitions and Lost Branches in the Fossil Tree of
Life http://opus.bath.ac.uk/43955/

* GNU Parallel was cited in: Shannon: An Information-Optimal de
NovoRNA-Seq Assembler

* GNU Parallel was cited in: Adaptive Measure-Theoretic Parameter
Estimation for Coastal Ocean Modeling

* GNU Parallel was cited in: Computational Design of DNA-Binding
Proteins http://link.springer.com/protocol/10.1007/978-1-4939-3569-7_16

* GNU Parallel was cited in: Reference genotype and exome data from an
Australian Aboriginal population for health-based research

* GNU Parallel was cited in: Computational Design of DNA-Binding
Proteins http://link.springer.com/protocol/10.1007/978-1-4939-3569-7_16

* GNU Parallel was cited in: Do aye-ayes echolocate?

* GNU Parallel was cited in: Functional enrichments of disease
variants across thousands of independent loci in eight diseases

* GNU Parallel was cited in: From genomes to phenotypes: Traitar, the
microbial trait analyzer

* GNU Parallel was mentioned in: Fast Playback Framework for Analysis
of Ground-Based Doppler Radar Observations Using MapReduce Technology

* NCBI blast tutorial https://github.com/enormandeau/ncbi_blast_tutorial

* Distributed Preservation Made Simple

* Parallel Jobs in Luigi

* 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 GNU Parallel for research:

* Please cite GNU Parallel in you publications (use --bibtex)

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

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