libcudacxx
HIP-CPU
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| libcudacxx | HIP-CPU | |
|---|---|---|
| 4 | 5 | |
| 2,292 | 103 | |
| - | 3.9% | |
| 7.9 | 7.2 | |
| 2 months ago | about 1 month ago | |
| C++ | C++ | |
| GNU General Public License v3.0 or later | MIT License |
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.
libcudacxx
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Is it better to learn c or c++ for cuda?
If you are thinking of using new features through https://github.com/NVIDIA/libcudacxx , you'll have to learn c++
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When will CUDA have C++ std libraries out of box in kernel function?
Checkout https://github.com/NVIDIA/libcudacxx
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cuda-oxide: Host-safe CUDA Driver API
And an implementation of the C++ standard library for CUDA.
- Learn C in Y Minutes
HIP-CPU
- HIP CPU
- [P] Pure C/C++ port of OpenAI's Whisper
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AMD publishes GPUFORT as Open Source to address CUDA’s dominance
If I'm reading this right, this is Fortran's equivalent of HIP, i.e. a way to (semi-)automatically convert CUDA-based solution to a more backend-independent one so that the same source can be run both on CUDA and ROCm GPUs (and potentially more; e.g. they also have an experimental CPU backend).
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Test Coverage with CUDA
So, I know that you asked about cuda, but this might actually be possible in hip, and you can convert your code to hip relatively easily. The path would be to use the CPU implementation (https://github.com/ROCm-Developer-Tools/HIP-CPU) and then run your code coverage on that.
What are some alternatives?
Thrust - [ARCHIVED] The C++ parallel algorithms library. See https://github.com/NVIDIA/cccl
AdaptiveCpp - Implementation of SYCL and C++ standard parallelism for CPUs and GPUs from all vendors: The independent, community-driven compiler for C++-based heterogeneous programming models. Lets applications adapt themselves to all the hardware in the system - even at runtime!
stdgpu - stdgpu: Efficient STL-like Data Structures on the GPU
rocFFT - Next generation FFT implementation for ROCm
modern-cpp-tutorial - 📚 Modern C++ Tutorial: C++11/14/17/20 On the Fly | https://changkun.de/modern-cpp/
HIP - HIP: C++ Heterogeneous-Compute Interface for Portability
gtl - A collection of useful well-commented, self-contained, simple, and/or interesting C++ classes
vim-cpp-modern - Extended Vim syntax highlighting for C and C++ (C++11/14/17/20/23)
AITemplate - AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.
wif500 - Try to find the WIF key and get a donation 200 btc
Taskflow - A General-purpose Parallel and Heterogeneous Task Programming System