Fortran-code-on-GitHub
dockcross
Fortran-code-on-GitHub | dockcross | |
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9 | 12 | |
259 | 3,137 | |
- | 0.9% | |
9.8 | 7.9 | |
6 days ago | 14 days ago | |
Shell | ||
The Unlicense | 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.
Fortran-code-on-GitHub
- Fortran 2023 has been published
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Any help or tips for Neural Networks on Computer Clusters
The hints in place ("there is more infrastructure already available outside Fortran, consider using them instead"). Beliavsky's compilation Fortran code on GitHub with its section about neural networks and machine learning still may be worth a visit e.g. how let Fortran reach out for the implementations in other languages.
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Is Fortran good to program IA ?
There is an interesting directories compiled about projects around Fortran, Fortran code on GitHub. Though artificial intelligence does not appear by name, section Neural networks and Machine Learning may provide an entry.
- Directory of Fortran codes on GitHub, arranged by topic
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how do you deal with not having common useful functions and data-structures that languages like c++ have?
My list of Fortran codes on GitHub has a section Containers and Generic Programming with some of the data structures you mention.
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Why Fortran is easy to learn
There's modern stuff being written in astro(nomy/physics) (I can attest to some of the codebases listed in https://github.com/Beliavsky/Fortran-code-on-GitHub#astrophy... being modern, at least in terms of development), but I'd say C++ likely does have the upper hand for newer codebases (unless things have changed dramatically last time I looked, algorithms that don't nicely align with nd-arrays are still painful in Fortran).
I've also heard rumours of Julia and even Rust being used (the latter because of the ability to reuse libraries in the browser e.g. for visualisation), but the writers of these codebases (and the Fortran/C/C++/Java) are unusual—Python and R (and for some holdouts, IDL) are what are most people write in (even if those languages call something else).
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Ask HN: What tools do people use for Computational Economics?
"QuantEcon:Open source code for economic modeling" https://quantecon.org/ has Python and Julia versions. The Federal Reserve uses Julia in its macroeconomic models: https://frbny-dsge.github.io/DSGE.jl/latest/ . Some economists use Fortran (which is much modernized since FORTRAN 77), and there is a 2018 book Introduction to Computational Economics using Fortran https://www.ce-fortran.com/ . Some Fortran codes in economics, statistics, and time series analysis are listed at https://github.com/Beliavsky/Fortran-code-on-GitHub .
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Climate Change Open Source Projects on GitHub
At the "Fortran Code on GitHub" repo https://github.com/Beliavsky/Fortran-code-on-GitHub there are many codes listed in the "Climate and Weather" and "Earth Science" sections.
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A simple string handling library for Microsoft Fortran-80
Fortran 77 and later versions (most recently Fortran 2018) have strings. There is the limitation that the elements of an array of strings must have equal length, so that ["boy","girl"] is invalid but ["boy ","girl"] is. Libraries for manipulating strings in Fortran are listed at https://github.com/Beliavsky/Fortran-code-on-GitHub#strings .
dockcross
- Cross compiling toolchains in Docker images
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Hello Wasm World!
We use the add_executable command to build executables with itk-wasm. The Emscripten and WASI toolchains along with itk-wasm build and execution configurations are contained in itk-wasm dockcross Docker images invoked by the itk-wasm command line interface (CLI). Note that the same code can also be built and tested with native operating system toolchains. This is useful for development and debugging.
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Stable or unstable distros for cross-compiling?
Docker is great for self-contained build environments, no risk of them breaking each other. Eg. https://github.com/dockcross/dockcross
- Dockcross – Cross compiling toolchains in Docker images
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Fast CRC32 library
It is C ++ 11 compatible, I recommend C ++ 17, it is cross-platform (x86, ARMv7, ARMv8, PowerPC, windows, Linux...), Thanks to [dockcross](https://github.com/dockcross/dockcross) .
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COOL Compiler for AArch64
First of all, I learned basic instructions of AArch64 and how to use cross compile COOL codes into AArch64 assembly codes via dockcross.
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What do you think of my C++ project and how to improve it ?
It is C ++ 11 compatible, I recommend C ++ 17, with OpenMP (For better multi-core performance), it is cross-platform (x86, ARMv7, ARMv8, PowerPC, windows, Linux...), Thanks to dockcross .
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What is the easiest way to create a docker image for CI/CD with a specific distro and libs for C/C++?
I would not say it easy, but checkout this setup: https://github.com/dockcross/dockcross
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Which is better? Docker in Proxmox Debian or in LXC?
I still maintain a single LXC container for each service. So far I'm doing this to run Nginx Proxy Manager and Vaultwarden, as well as a development container where I use Docker to run cross-platform builds with dockcross.
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Initial Release: "Zero-Setup" Cross-Compilation for C and C++
xcross provides Docker images with toolchains for a wide variety of different architectures, C and C++ standard libraries, and both bare-metal and Linux-based systems. A complete list of supported targets can be found here. This differs from dockcross in that it supports numerous more architectures and C runtimes.
What are some alternatives?
stdlib - Fortran Standard Library
cross - “Zero setup” cross compilation and “cross testing” of Rust crates
cmake-cookbook - CMake Cookbook recipes.
xcross - "Zero Setup" cross-compilation for C/C++. Supports numerous architectures, build systems, C standard libraries, vcpkg, and Conan.
fpm - Fortran Package Manager (fpm)
steam-runtime - A runtime environment for Steam applications
neural-fortran - A parallel framework for deep learning
cmake-init - The missing CMake project initializer
string - Microsoft FORTRAN-80 (F80) string handling library. Simple, fast, mostly FORTRAN.
mint-docker - Mint development environment running in Docker
ftl - The Fortran Template Library
SDL - Simple Directmedia Layer