gnu-parallel
lolcate-rs
Our great sponsors
| gnu-parallel | lolcate-rs | |
|---|---|---|
| 22 | 3 | |
| 25 | 278 | |
| - | - | |
| 10.0 | 0.0 | |
| about 9 years ago | about 1 year ago | |
| Perl | Rust | |
| GNU General Public License v3.0 only | GNU General Public License v3.0 only |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
gnu-parallel
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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/
lolcate-rs
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Right too for the job...
Indexing is the correct answer to this situation. Apparently mlocate is the direct upgrade to locate, but then of course someone made a Rust version, lolcate-rs
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My hoard is SOOOO huge I need ..... to search! - How do you search your hoard?
lolcate-rs
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Could we avoid having package descriptions like this? It makes it harder to find stuff using the terminal.
I am an idiot. You are right. I was looking for this and somehow got confused. Shouldn't have that many tabs open. My bad.
What are some alternatives?
Parallel
sonic - 🦔 Fast, lightweight & schema-less search backend. An alternative to Elasticsearch that runs on a few MBs of RAM.
bazel-buildfarm - Bazel remote caching and execution service
fd - A simple, fast and user-friendly alternative to 'find'
xidel - Command line tool to download and extract data from HTML/XML pages or JSON-APIs, using CSS, XPath 3.0, XQuery 3.0, JSONiq or pattern matching. It can also create new or transformed XML/HTML/JSON documents.
orange - Cross-platform local file search engine.
jc - CLI tool and python library that converts the output of popular command-line tools, file-types, and common strings to JSON, YAML, or Dictionaries. This allows piping of output to tools like jq and simplifying automation scripts.
ripgrep - ripgrep recursively searches directories for a regex pattern while respecting your gitignore
Toshi - A full-text search engine in rust
parallel - xargs for concurrent, distributed execution of shell commands
grex - A command-line tool and Rust library with Python bindings for generating regular expressions from user-provided test cases