data reuse exploration techniques for loop-dominated applications
Efficient exploration of temporal locality in the memory accesses on array signals can have a very large impact on the power consumption in embedded data dominated applications.The effective use of an optimized custom memory hierarchy or a customized software controlled mapping on a predefined hierarchy, is crucial for this.One recently effective systematic techniques to deal with this specific design step have begun to appear.They were still limited in their exploration scope.In this paper we introduce an extended formalized methodology based on an analytical model of the data reuse of a signal.The cost parameters derived from this model define the search space to explore and allow us to exploit the maximum data reuse possible.The result is an auomated design technique to find power efficient memory hierarchies and generate the corresponding optimized code.
data reuse exploration applications efficiency temporal locality memorialized arrays signaling power consumption embedding effect use custom memory hierarchies hierarchies software map design paper methodology analytic models model cost search space exploit power efficiency code