They write: The LFortran compiler has made great strides over the last few years. In 2020, it was missing a lot of features and only supported a very small subset of Fortran. Now it now supports a much wider range of language features and can be used to compile a reasonable amount of Fortran code. It can even compile to WebAssembly out of the box!
However, there are still some barriers that make using LFortran a little rough. The project is currently considered to be in alpha phase and the developers state that issues compiling real-world code are expected. While it can successfully compile some projects, such as MINPACK, the full Fortran specification is not yet supported and so many larger projects still cannot be compiled.
The LFortran developers are targeting full support for Fortran 2018, and its standout feature is an interactive Jupyter-like Fortran REPL. With a few more years of development, I expect that LFortran will be an excellent choice for compiling Fortran code for WebAssembly.
and
Check out the LFortran demo at https://dev.lfortran.org. While extremely impressive, note that the first thing I tried was changing x * 2 to x * 3 and saw that such a change is currently not supported by the code generator.
The demo at https://dev.lfortran.org uses our direct WASM backend that does not use LLVM. It is currently more limited, and indeed, we currently do not support the cubic power x**3 there, only square power x**2. Our most advanced backend is LLVM, and that of course supports x**3 and a very wide subset of Fortran (such as 60% of all SciPy packages fully compile and all SciPy tests pass). However, LLVM is huge and relatively slow, so we do not use LLVM in the online demo, which runs the compiler itself in the browser.
For offline LLVM based WASM compilation I think LFortran is ready be tried. We'll be happy to help!
For this post I really wanted to go deeper into the approach we’ve taken with flang, but I can see that LFortran is also a very strong choice here for running Fortran on Wasm.
I think exactly the approach that you took with Flang should work with LFortran also.
"LLVM makes it possible to run LFortran on diverse hardware and take advantage of native Fortran language constructs (such as do concurrent) on multi-core CPUs and GPUs."
...is LFortran close to using coarrays, etc, and farming it out as appropriate to the GPU cores?