hipfort
aomp
hipfort | aomp | |
---|---|---|
1 | 1 | |
65 | 181 | |
- | 3.9% | |
7.7 | 9.8 | |
7 days ago | 5 days ago | |
Fortran | 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.
hipfort
-
Joe's Live Coding Sessions - GPU Programming in Fortran : Verifying Spectral Accuracy in the Advection-Diffusion Solvers
HIPFort (GPU Programming API in Fortran) : https://github.com/ROCmSoftwarePlatform/hipfort
aomp
-
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?
SELF - Spectral Element Library in Fortran
rocFFT - Next generation FFT implementation for ROCm
SciFortran - A library of fortran modules and routines for scientific calculations (*in a way* just like scipy for python)
gpufort - GPUFORT: S2S translation tool for CUDA Fortran and Fortran+X in the spirit of hipify
rcc-run - Continuous Integration and Continuous Benchmarking tools for Research Computing applications
stdgpu - stdgpu: Efficient STL-like Data Structures on the GPU
FLAP - Fortran command Line Arguments Parser for poor people
Full-Stack-Fortran - Fortran to WebAssembly
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: