Abstract
We present a new Fortran source-to-source tool that helps to bridge the gap in the current Fortran tooling ecosystem. The goal of this tool is to translate standard Fortran code to various parallel programming languages in Fortran and C/C++ to enable running on a wide variety of GPUs and CPUs. The translation is performed using the full syntax parsing capabilities of the LFortran compiler, a research compiler currently in development. Using the Abstract Semantic Representation intermediate output of the compiler in this new work has made the translation simpler to accomplish. We also develop a map of the needed parallel constructs for a complete parallel language and begin to identify possible extensions to the existing Fortran language.
Work was performed under U.S. Government contract 89233218CNA000001, managed by Triad National Security, LLC.; LA-UR-20-26284.
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Marks, J., Medwedeff, E., Čertík, O., Bird, R., Robey, R.W. (2022). Improving Fortran Performance Portability. In: Chapman, B., Moreira, J. (eds) Languages and Compilers for Parallel Computing. LCPC 2020. Lecture Notes in Computer Science(), vol 13149. Springer, Cham. https://doi.org/10.1007/978-3-030-95953-1_6
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