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In today's embedded applications a significant portion of energy is spent inthe memory subsystem. Several approaches have been proposed to minimize thisenergy, including the use of scratch pad memories, with many based on staticanalysis of a program. However, often it is not possible to perform staticanalysis and optimization of a program's memory access behavior unless theprogram is specifically written for this purpose. In this paper we introducethe FORAY model of a program that permits aggressive analysis of theapplication's memory behavior that further enables such optimizations since itconsists of 'for' loops and array accesses which are easily analyzable. Wepresent FORAY-GEN: an automated profile-based approach for extraction of theFORAY model from the original program. We also demonstrate how FORAY-GENenhances applicability of other memory subsystem optimization approaches,resulting in an average of two times increase in the number of memoryreferences that can be analyzed by existing static approaches.

FORAY-GEN: Automatic Generation of Affine Functions for Memory Optimizations