Thermal-Aware Code Transformation across Functional Units

Various functional units (FUs) have been designed in modern embedded processors to perform different functions when running an application. For many applications the occurrences of different instructions are not the same after they are compiled. As a consequence, the temperature of the processor is very high arising from the major heating contribution of the special structure active functional unit and thus the system will suffer severe damage. Thus, to remedy this hurdle, this paper provides a solution by shifting the loading from heavy-loading FUs to light-loading FUs. Our approach first identifies all FUs that can exchange the loading among them and then presents a thermal model for these exchangeable FUs to estimate the temperature impact on shifting loading. Finally, the loading shifting has been performed by transforming code under the consideration of limited performance loss without hardware cost. The result shows that our approach can reduce the temperature at the small cost of performance degradation and code expansion.