rocFFT
aomp
rocFFT | aomp | |
---|---|---|
1 | 1 | |
146 | 181 | |
0.7% | 3.9% | |
9.0 | 9.8 | |
7 days ago | 3 days ago | |
C++ | Fortran | |
GNU General Public License v3.0 or later | Apache License 2.0 |
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.
rocFFT
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"error making: rocfft" when installing rocm-tensorflow
Might make sense to raise an issue at https://github.com/ROCmSoftwarePlatform/rocFFT ?
aomp
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GPU support RDNA3 7900 xtx
AMD engineers have released AOMP compiler support for the new RDNA3 GPU architecture (GFX11). https://www.phoronix.com/news/AMD-AOMP-16.0-1 https://github.com/ROCm-Developer-Tools/aomp/releases/tag/rel_16.0-1 But as there are no released models with that architecture, it is hard to know which models AOMP engineers will "support". After seeing the table above, an educated guess would be a future "Pro" workstation model, based on recent history.
What are some alternatives?
VkFFT - Vulkan/CUDA/HIP/OpenCL/Level Zero/Metal Fast Fourier Transform library
gpufort - GPUFORT: S2S translation tool for CUDA Fortran and Fortran+X in the spirit of hipify
HIP-CPU - An implementation of HIP that works on CPUs, across OSes.
stdgpu - stdgpu: Efficient STL-like Data Structures on the GPU
rocm-arch - A collection of Arch Linux PKGBUILDS for the ROCm platform
hipfort - Fortran interfaces for ROCm libraries
OceanFFT - OpenGL Demo: Simulating Ocean Waves with FFT
Full-Stack-Fortran - Fortran to WebAssembly
benchmarking-fft - choosing FFT library...
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!
alpaka - Abstraction Library for Parallel Kernel Acceleration :llama: