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Gnu-parallel Alternatives
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gnu-parallel reviews and mentions
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SQL query execution idea
You can use GNU Parallel (https://www.gnu.org/software/parallel/) to run command-line clients with all of those queries. You can set up the upper limit of simultaneous clients run, and this will automatically handle all possible parallelism.
- Parallel – shell tool for executing jobs in parallel using one or more computers
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Distcc: A fast, free distributed C/C++ compiler
Some other multi machine options that have worked well for me, well beyond just compilation of C/C++ on multiple machines with multiple cores.
1) set up passwordless, ssh.
and
2) use the gnu parallel. https://www.gnu.org/software/parallel/
gnu parallel is super flexible, very useful.
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Peplum: F/OSS distributed parallel computing and supercomputing at Home with Ruby infrastructure
How does this stack up againg GNU parallel? If you just wanna parallelize CLI work-loads (like nmap), parallel should be easier, I guess.
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Search in your Jupyter notebooks from the CLI, fast.
It requires jq for JSON processing and GNU parallel for concurrent searches in the notebooks.
- Is there a way to use all CPU cores while using RIBlast?
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Can cuda help me here?
Since you've got lots of images, you could use GNU Parallel to spread the job across multiple CPUs.
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5 great Perl scripts to keep in your sysadmin toolbox
Gnu parallel
- Is there an .deb package for installing GNU parallel?
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Modern SPAs without bundlers, CDNs, or Node.js
You could easily use something like GNU Parallel:
https://www.gnu.org/software/parallel/
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Stats
martinda/gnu-parallel is an open source project licensed under GNU General Public License v3.0 only which is an OSI approved license.
The primary programming language of gnu-parallel is Perl.
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