The International Conference for High Performance Computing, Networking, Storage, and Analysis
The International Conference for High Performance Computing, Networking, Storage, and Analysis
Workshop: PMBS22: The 13th International Workshop on Performance Modeling, Benchmarking, and Simulation of High-Performance Computer Systems
Authors: Jeff R. Hammond (NVIDIA Corporation, Helsinki) and Tom Deakin, James Cownie, and Simon McIntosh-Smith (University of Bristol)
Abstract: Fortran DO CONCURRENT has emerged as a new way to achieve parallel execution of loops on CPUs and GPUs. This paper studies the performance portability of this construct on a range of processors and compares it with the incumbent models: OpenMP, OpenACC and CUDA. To do this study fairly, we implemented the BabelStream memory bandwidth benchmark from scratch, entirely in modern Fortran, for all of the models considered, which include Fortran DO CONCURRENT, as well as two variants of OpenACC, four variants of OpenMP (2 CPU and 2 GPU), CUDA Fortran, and both loop- and array-based references. BabelStream Fortran matches the C++ implementation as closely as possible, and can be used to make language-based comparisons. This paper represents one of the first detailed studies of the performance of Fortran support on heterogeneous architectures; we include results for AArch64 and x86_64 CPUs as well as AMD, Intel and NVIDIA GPU platforms.