MatX
mdspan
| MatX | mdspan | |
|---|---|---|
| 7 | 6 | |
| 1,117 | 375 | |
| 1.2% | 2.4% | |
| 9.1 | 8.5 | |
| 4 days ago | 10 days ago | |
| C++ | C++ | |
| BSD 3-clause "New" or "Revised" License | GNU General Public License v3.0 or later |
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MatX
- An efficient C++17 GPU numerical computing library with Python-like syntax
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MatX: Efficient C++17 GPU numerical computing library with Python-like syntax
Hi, what specifically are you looking to benchmark on the K80? Users are free to contribute and we've had many external PRs.
Contribution guide is here: https://github.com/NVIDIA/MatX/blob/main/CONTRIBUTING.md
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Blaze: High Performance Mathematics In C++
For GPU support take a look at our library:
https://github.com/NVIDIA/MatX
If anything is missing we're happy to take feature requests.
- C++ for scientific programming?
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?
ParallelReductionsBenchmark - Thrust, CUB, TBB, AVX2, CUDA, OpenCL, OpenMP, SyCL - all it takes to sum a lot of numbers fast!
stdBLAS - Reference Implementation for stdBLAS
GPU-accelerated-guppy-basecalling - GPU-accelerated guppy basecalling and demultiplexing on Linux
kokkos - Kokkos C++ Performance Portability Programming Ecosystem: The Programming Model - Parallel Execution and Memory Abstraction
cuda_memtest - Fork of CUDA GPU memtest :eyeglasses:
circle - The compiler is available for download. Get it!
Trilinos - Primary repository for the Trilinos Project
kokkos-kernels - Kokkos C++ Performance Portability Programming Ecosystem: Math Kernels - Provides BLAS, Sparse BLAS and Graph Kernels
ginkgo - Numerical linear algebra software package
plf_hive - plf::hive is a fork of plf::colony to match the current C++ standards proposal.
conan - Conan - The open-source C and C++ package manager
deepdetect - Deep Learning API and Server in C++14 support for Caffe, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE