hipfort
SELF
| hipfort | SELF | |
|---|---|---|
| 1 | 4 | |
| 65 | 43 | |
| - | - | |
| 7.7 | 8.9 | |
| 7 days ago | 14 days ago | |
| Fortran | Fortran | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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hipfort
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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
SELF
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[RANT] I really, really wish working with compiled languages is as easy as working with Python.
Could you go into more detail? If you're referring to https://github.com/FluidNumerics/SELF, I've just taken a look and it does seem like their documentation on how to build is lacking. Usually if that's the case, you can dig for whatever their CI configuration is and manually follow those steps, but it's not clear here: they have a mechanism to build Singularity containers (ci/run_tests) but everything else in ci seems unrelated. Their CONTRIBUTING.md is out of date and incomplete, and as you've already seen their build system (Makefile, install.sh, test.sh) is a total mess. Pretty much all modern scientific codes are using at least CMake now. (It's either that or hacked-up and hardcoded recursive make, rather than autoconf.)
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The "F" Word - GPU Programming in Fortran : Building the Shallow Water Equation Solver
You can freely download SELF source code online at https://github.com/fluidnumerics/self
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Joe's Live Coding Sessions - GPU Programming in Fortran : Verifying Spectral Accuracy in the Advection-Diffusion Solvers
SELF Github Repository : https://github.com/fluidnumerics/self
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[February] Programming languages for CFD
I'm definitely a fan of Fortran for writing CFD and numerical PDE solvers (https://github.com/FluidNumerics/SELF) in general. Fortran was my first programming language, and I'm not a "geezer geek" (I'm 30 years old). While I also program in C and C++ on some projects, Fortran is my go-to. As others have already mentioned, the array syntax in Fortran is fantastic. It really helps to be able to work out algorithms on paper and translate cleanly into multi-dimensional arrays.
What are some alternatives?
aomp - AOMP is an open source Clang/LLVM based compiler with added support for the OpenMP® API on Radeon™ GPUs. Use this repository for releases, issues, documentation, packaging, and examples.
fpm - Fortran Package Manager (fpm)
SciFortran - A library of fortran modules and routines for scientific calculations (*in a way* just like scipy for python)
stdlib - Fortran Standard Library
rcc-run - Continuous Integration and Continuous Benchmarking tools for Research Computing applications
shenfun - High performance computational platform in Python for the spectral Galerkin method
FLAP - Fortran command Line Arguments Parser for poor people
Nim - Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness, and elegance (in that order of priority).
stdgpu - stdgpu: Efficient STL-like Data Structures on the GPU
focal - A modern Fortran abstraction layer for OpenCL
gpufort - GPUFORT: S2S translation tool for CUDA Fortran and Fortran+X in the spirit of hipify
sdk - The Dart SDK, including the VM, dart2js, core libraries, and more.