Using Graphics Processor Units to Accelerate OneSAF: A Case Study in Technology Transition

Abstract

Ongoing research aims to accelerate the runtime processing speed of the One Semi-Automated Forces (OneSAF) Computer Generated Forces (CGF) simulation by converting and migrating some of the core algorithms from the host central processing unit (CPU) to an onboard auxiliary graphics processor unit (GPU). In this research the GPU chip is regarded as a surrogate stream processor, and appropriate algorithms are designed to map to the GPU architecture. Processing speed gains are realized both through computational capabilities of the GPU as well as through offloading of the host CPU. Technology transfer of this research into the OneSAF baseline is a key requirement of this research. The OneSAF development program focuses on the same issues of scalability and runtime performance that will be directly affected by use of GPUs. As program architects are marshalling conventional approaches for resolving these challenges, the introduction of GPU-based solutions is being realized. This paper examines the challenges, planned approaches, and benchmarked results for using GPUs to accelerate OneSAF simulation.