node_crunch VS StaticArrays.jl

Compare node_crunch vs StaticArrays.jl and see what are their differences.

node_crunch

Allows to distribute computations across several nodes (by willi-kappler)

StaticArrays.jl

Statically sized arrays for Julia (by JuliaArrays)
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node_crunch StaticArrays.jl
15 6
78 793
- 1.3%
0.0 6.6
over 1 year ago 8 days ago
Rust Julia
MIT License GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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node_crunch

Posts with mentions or reviews of node_crunch. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-05.

StaticArrays.jl

Posts with mentions or reviews of StaticArrays.jl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-21.
  • How to efficiently get the i-th element of every matrix in an array?
    1 project | /r/Julia | 24 Mar 2023
  • Error With StaticArrays Module & Symbolics.jl
    2 projects | /r/Julia | 21 Oct 2022
    Performance is already 100 times faster than Sympy, but I was running into slowdowns computing the adjugate of the matrices I'm working with. I turned to the StaticArrays.jl module, which did speed up performance, but threw an error at me when the matrix in question went from a 4x4 to a 5x5. Here is the code used to generate the matrices:
  • An optimization story
    3 projects | /r/rust | 7 Feb 2022
    I know this is the Rust subreddit, but I have to ask if you considered Julia? It seems purpose-built for what you're trying to do. It has built-in multidimensional arrays which are significantly more ergonomic to use than either Python or Rust, and because of the way the type system works there are tons of specialized array types you can use with optimized operations (and writing your own is quite easy). In particular you might be interested in StaticArrays.jl which if your arrays have a known, small size at compile-time can give a massive speedup by essentially automatically doing many of the optimizations you did by hand. They show a 25x speedup on eigendecompositions for a 3x3 matrix on their microbenchmark.
  • Easy things to implement to optimize code?
    1 project | /r/Julia | 17 Jan 2022
    Use StaticArrays.jl instead of the built-in Array whenever you need some statically sized array/matrix.
  • From Julia to Rust
    14 projects | news.ycombinator.com | 5 Jun 2021
  • Is there a reason type constraints can't be applied to value-types?
    1 project | /r/Julia | 26 Feb 2021
    If you want to lift your value into the type domain, you may be able to use value-types, like Val(2). If you are interested in seeing how to use value-type parameters efficiently, https://github.com/JuliaArrays/StaticArrays.jl does that to great effect.

What are some alternatives?

When comparing node_crunch and StaticArrays.jl you can also consider the following projects:

libint - Libint: high-performance library for computing Gaussian integrals in quantum mechanics

MacroTools.jl - MacroTools provides a library of tools for working with Julia code and expressions.

constellation - Constellation is the first Confidential Kubernetes. Constellation shields entire Kubernetes clusters from the (cloud) infrastructure using confidential computing.

glow - Compiler for Neural Network hardware accelerators

rust-in-hpc

Catlab.jl - A framework for applied category theory in the Julia language

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