Low energy data management for different on-chip memory levels in multi-context reconfigurable architectures

This paper presents a new technique to improve the efficiency of data scheduling for multi-context reconfigurable architectures targeting multimedia and DSP applications. The main goal is to improve application energy consumption. Two levels of on-chip data storage are assumed in the reconfigurable architecture. The data scheduler attempts to optimally exploit this storage, by deciding in which on-chip memory the data have to be stored in order to reduce energy consumption. We also show that a suitable data scheduling could decrease the energy required to implement the dynamic reconfiguration of the system.