Seamless GPU acceleration for C++ based physics with the Metal Shading Language on Apple's M series unified chips

TL;DR

This paper demonstrates how Apple's M series chips can be efficiently utilized with Metal Shading Language to accelerate C++ array operations and wave equation simulations, offering high performance with minimal programming complexity.

Contribution

It introduces a method to leverage MSL for GPU acceleration on M series chips, simplifying memory management compared to CUDA or OpenACC, and applies it to seismic wave simulation.

Findings

Near an order of magnitude performance improvement in wave simulation

MSL enables GPU acceleration with minimal code changes

Performance comparable to specialized GPU codes

Abstract

The M series of chips produced by Apple have proven a capable and power-efficient alternative to mainstream Intel and AMD x86 processors for everyday tasks. Additionally, the unified design integrating the central processing and graphics processing unit, have allowed these M series chips to excel at many tasks with heavy graphical requirements without the need for a discrete graphical processing unit (GPU), and in some cases even outperforming discrete GPUs. In this work, we show how the M series chips can be leveraged using the Metal Shading Language (MSL) to accelerate typical array operations in C++. More importantly, we show how the usage of MSL avoids the typical complexity of CUDA or OpenACC memory management, by allowing the central processing unit (CPU) and GPU to work in unified memory. We demonstrate how performant the M series chips are on standard one-dimensional and two-dimensional array operations such as array addition, SAXPY and finite difference stencils, with respect to serial and OpenMP accelerated CPU code. The reduced complexity of implementing MSL also allows us to accelerate an existing elastic wave equation solver (originally based on OpenMP accelerated C++) using MSL, with minimal effort, while retaining all CPU and OpenMP functionality. The resulting performance gain of simulating the wave equation is near an order of magnitude for specific settings. This gain attained from using MSL is similar to other GPU-accelerated wave-propagation codes with respect to their CPU variants, but does not come at much increased programming complexity that prohibits the typical scientific programmer to leverage these accelerators. This result shows how unified processing units can be a valuable tool to seismologists and computational scientists in general, lowering the bar to writing performant codes that leverage modern GPUs.