Architecture-Aware Hierarchical Probabilistic Source Optimization.
Naeem Zafar Azeemi · 2006
This paper focuses on architecture-aware source-level code transformation methods for low energy consumption in complex VLIW processors. Though energy issue has long been addressed at hardware level, but a significant contribution of software applications can not be ignored. Successive energy-cycle cost guarded parametric optimization are applied in proposed iterative compilation environment to evaluate an application expression profile on complex multimedia processors. The optimization is based on a multi objective function. The constraints of this objective function are formulated using a penalty method; a genetic algorithm finds solutions eventually. The proposed new code transformation methodology determines appropriate parameters for compiler optimization in order