parallel_primes_rs
A very naïve implementation of rust algorithm that finds all primes between two numbers (by pcrumley)
Polyester.jl
The cheapest threads you can find! (by JuliaSIMD)
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parallel_primes_rs | Polyester.jl | |
---|---|---|
1 | 3 | |
0 | 214 | |
- | 5.6% | |
10.0 | 7.5 | |
over 3 years ago | 10 days ago | |
Rust | Julia | |
GNU General Public License v3.0 only | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
parallel_primes_rs
Posts with mentions or reviews of parallel_primes_rs.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-11-09.
-
Concurrency in Julia
For a job interview I did the same parallelization of a`isPrime` in Rust, and it the basically as simple as the one for Julia, replacing a call of `into_iter()` with `into_par_iter()`. I also show the strong scaling relationship, which i wish all things talking about concurrency did. Link for the curious: https://github.com/pcrumley/parallel_primes_rs
Polyester.jl
Posts with mentions or reviews of Polyester.jl.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-11-09.
-
[2207.08135] Parallelizing Explicit and Implicit Extrapolation Methods for Ordinary Differential Equations
This is a new stiff ODE solver which uses multi-threading within the method to make the solve of single ODEs faster in cases where it's too small to benefit from implicit threading in BLAS. Uses Polyester mixed with a very specific adaptivity method to optimize the work calculation to hit this performance. And of note, it's the type of manual parallel algorithm that cannot use array-based parallelism offered by machine learning libraries, so it's an algorithm you kind of need to implement in C++ or... Julia! Was a fun multi-year project and am really glad to see it completed.
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Concurrency in Julia
The Folds.jl [1] package mentioned in the article is very nicely written.
For another alternative to Julia's built-in `Threads.@threads` macro, folks may also be interested in checking out `@batch` from Polyester.jl [2] (formerly CheapThreads.jl), which features particularly low-overhead threading.
[1] https://github.com/JuliaFolds/Folds.jl
[2] https://github.com/JuliaSIMD/Polyester.jl
- Pynguin – Allow developers to generate Python unit tests automatically
What are some alternatives?
When comparing parallel_primes_rs and Polyester.jl you can also consider the following projects:
Primes.jl - Prime numbers in Julia
CrossHair - An analysis tool for Python that blurs the line between testing and type systems.
ReusePatterns.jl - Implement composition and concrete subtyping in Julia.
Folds.jl - A unified interface for sequential, threaded, and distributed fold
pynguin - The PYthoN General UnIt Test geNerator is a test-generation tool for Python
icontract-hypothesis - Combine contracts and automatic testing.