A Modular Application of Runtime Performance Analytics Using GPU and CPU Execution on Planetary Formation Simulation

摘要

Abstract - The Symplectic Massive Body Algorithm (SyMBA) for planetary formation simulation was targeted for optimization including runtime performance analytics and execution on a graphics processing unit (GPU). The approach identified specific functions that would benefit from GPU acceleration and migrated this limited functionality to execute on the GPU. Benchmarks saw speedups of up to 26.48x (541s from 14327s). The overall performance highly depended on the nature of the test case. To accommodate these data-dependent performance differences, runtime performance analysis was integrated into the software to allow the decision of whether to execute on the central processing unit (CPU) or GPU to be made at runtime. The runtime performance analysis was tested and was able to successfully use the more efficient execution environment.