DVFS RK: Performance and Energy Modeling of Frequency-Scaled Multithreaded Runge-Kutta Methods

Thomas Rauber, Gudula Rünger · 2019

Runge-Kutta (RK) methods are popular and well-known methods for simulations in scientific computing based on ordinary differential equations (ODEs). RK-based simulations can stem from space-discretized time-dependent partial differential equations (PDEs), which can model a large variety of phenomena in natural science or engineering. This article investigates several multithreaded versions of RK methods and studies their performance and energy consumption on a recent multicore processor. The emphasis of the analysis is on the performance and energy behavior using dynamic voltage and frequency scaling (DVFS) and the modeling of the time and energy behavior based on power models.

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