plf_colony
mdspan
plf_colony | mdspan | |
---|---|---|
1 | 6 | |
389 | 375 | |
- | 2.4% | |
6.7 | 8.5 | |
15 days ago | 11 days ago | |
C++ | C++ | |
zlib License | GNU General Public License v3.0 or later |
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.
plf_colony
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C++23: Near The Finish Line
plf::colony
mdspan
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July 2022 ISO C++ committee virtual meeting report
Why not use https://github.com/kokkos/mdspan though ?
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C++ for scientific programming?
It can be the base of whatever *you* write via bindings generators like pybind11. In that sense, the answer to your question is "however you like". For actual simulation code, you'll see a lot more legacy Fortran and C. That said, with things like mdspan maybe being standardized (proposal), efforts towards a standard linear algebra library, and the existence of ubiquitous HPC frameworks already having been written in C++, I would say it's only a matter of time before C++ accounts for an even bigger share of all HPC code.
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[D] Deep Learning Framework for C++.
I'm aware of only two relevant projects myself, I don't know much, came to reddit kind of by chance. One of the multi-dimensional array libraries proposed for potential standardisation, and a gnu machine learning library that was discontinued which could be worked off of. There's probably a lot more out there, but don't get distracted from making something awesome :)
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Array template implementation
As u/IyeOnline already made the important points about VLAs and std::vector, I would just add that you may find std::mdspan to be a helpful data structure. You can allocate 1d memory and give it a 2d shape of k with nice 2d indexing, eg auto& elem = mymdspan(row, col);.
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C++23: Near The Finish Line
Kokkos mdspan
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Is there an OOP-wrapper library for cublas?
The good thing here is that it heavily relies on mdpsan that is a multidimensional view that handle shape and strides. And kokkos provide a C++14 compatible implementation with a complete CUDA support.
What are some alternatives?
plf_hive - plf::hive is a fork of plf::colony to match the current C++ standards proposal.
stdBLAS - Reference Implementation for stdBLAS
kokkos - Kokkos C++ Performance Portability Programming Ecosystem: The Programming Model - Parallel Execution and Memory Abstraction
LEWG - Project planning for the C++ Library Evolution Working Group
circle - The compiler is available for download. Get it!
stl-header-heft - Measures how parsing overweight the major STLs have become
kokkos-kernels - Kokkos C++ Performance Portability Programming Ecosystem: Math Kernels - Provides BLAS, Sparse BLAS and Graph Kernels
libunifex - Unified Executors
deepdetect - Deep Learning API and Server in C++14 support for Caffe, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE