dynarray
Fastor
| dynarray | Fastor | |
|---|---|---|
| 2 | 5 | |
| 14 | 702 | |
| - | - | |
| 3.3 | 4.3 | |
| about 1 month ago | 19 days ago | |
| C++ | C++ | |
| BSD 3-clause "New" or "Revised" License | MIT License |
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dynarray
Fastor
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Standard way of doing maths with arrays?
I'm going to throw in a recommendation for Fastor. It is generally faster than other libraries, is very lightweight, and has a pretty modern syntax.
- LibRapid -- High Performance Arrays for C++
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From Julia to C++ Struggle
There are C++ libraries that deal with linear algebra and tensors that are able to produce fully vectorized code without requiring you to mess around with SIMD intrinsics. See, for instance, fastor, blaze, eigen and the huge Trillinos set of packages. C++ is very widely used when it comes to scientific HPC applications. All you need to do is google search or better yet, join r/cpp and r/cpp_questions and start asking away for the things you need. The C++ community is very welcoming and full of experts that will be able to help you.
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Use of BLAS vs direct SIMD for linear algebra library operations?
Picking what size you are targeting is really important, though. Could the matrices you are working with realistically be bigger than say 32x32? BLAS is good for big matrices. It's not as great for small matrices. Eigen or Fastor will do better for these smaller problems. And for various common operations on sizes 2, 3, and 4, hand coded graphics-oriented libraries might outperform those.
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Scientific computing in Cpp
Tensorflow, Machine learning: https://www.tensorflow.org/ Fastor, A tensor library: https://github.com/romeric/Fastor GNU Scientific Library(GSL): https://www.gnu.org/software/gsl/ Boost. FEniCS, A finite element library: https://fenicsproject.org/ Intel MKL, a BLAS+LAPACK+other goodies library: https://software.intel.com/content/www/us/en/develop/tools/math-kernel-library.html SuiteSparse, A sparse linear algebra library: http://faculty.cse.tamu.edu/davis/suitesparse.html Sundials, Nonlinear solvers: https://computing.llnl.gov/projects/sundials
What are some alternatives?
xtensor - C++ tensors with broadcasting and lazy computing
DirectXMath - DirectXMath is an all inline SIMD C++ linear algebra library for use in games and graphics apps
ITensors.jl - A Julia library for efficient tensor computations and tensor network calculations
sundials - Official development repository for SUNDIALS - a SUite of Nonlinear and DIfferential/ALgebraic equation Solvers. Pull requests are welcome for bug fixes and minor changes.
ArrayFire - ArrayFire: a general purpose GPU library.
SPTK - A suite of speech signal processing tools
Catch - A modern, C++-native, test framework for unit-tests, TDD and BDD - using C++14, C++17 and later (C++11 support is in v2.x branch, and C++03 on the Catch1.x branch)
conan - Conan - The open-source C and C++ package manager
Google Test - GoogleTest - Google Testing and Mocking Framework
usimd - Cross platform portable accelerate math library using universal intrinsics.
linalg - linalg.h is a single header, public domain, short vector math library for C++