Can Fortran's `do concurrent' Replace Directives for Accelerated Computing?

Workshop:WACCPD 2021: Eighth Workshop on Accelerator Programming Using Directives

Authors: Miko Stulajter, Ronald M. Caplan, and Jon Linker (Predictive Science Inc)

Abstract: Recently, there has been growing interest in using standard language constructs (e.g. C++'s Parallel Algorithms and Fortran's `do concurrent`) for accelerated computing as an alternative to directive-based APIs (e.g. OpenMP and OpenACC). These constructs have the potential to be more portable, and some compilers already (or have plans to) support such standards. Here, we look at the current capabilities, portability, and performance of replacing directives with Fortran's `do concurrent` using a mini-app that currently implements OpenACC for GPU-acceleration and OpenMP for multi-core CPU parallelism. We replace as many directives as possible with `do concurrent`, testing various configurations and compiler options within three major compilers: GNU's gfortran, NVIDIA's nvfortran, and Intel's ifort. We find that with the right compiler versions and flags, many directives can be replaced without loss of performance or portability, and, in the case of nvfortran, they can all be replaced. We discuss limitations that may apply to more complicated codes and future language additions that may mitigate them. Singularity containers are publicly provided to allow the results to be reproduced.

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