Investigating Applications on the A64FX

TL;DR

This paper evaluates the Fujitsu A64FX processor's performance in HPC and machine learning applications, demonstrating significant performance advantages over other platforms in many benchmarks, despite some variability.

Contribution

It provides a comprehensive benchmarking analysis of the A64FX processor across multiple applications and compares it with existing HPC platforms, highlighting its strengths and limitations.

Findings

A64FX often outperforms other HPC platforms in benchmarks

Performance varies depending on application configuration

No specific optimizations needed for high performance

Abstract

The A64FX processor from Fujitsu, being designed for computational simulation and machine learning applications, has the potential for unprecedented performance in HPC systems. In this paper, we evaluate the A64FX by benchmarking against a range of production HPC platforms that cover a number of processor technologies. We investigate the performance of complex scientific applications across multiple nodes, as well as single node and mini-kernel benchmarks. This paper finds that the performance of the A64FX processor across our chosen benchmarks often significantly exceeds other platforms, even without specific application optimisations for the processor instruction set or hardware. However, this is not true for all the benchmarks we have undertaken. Furthermore, the specific configuration of applications can have an impact on the runtime and performance experienced.