Abstract :
Memory-related activity is one of the major sources of energy consumption in embedded systems. Many types of memories used in embedded systems allow multiple operating modes (e.g., active, standby, nap, power-down) to facilitate energy saving. Furthermore, it has been known that the potential energy saving increases when the embedded systems use multiple memory banks in which their dperating modes are controlled independently. In this paper, we propose (a compiler-directed) integrated approach to the problem of maximally utilizing the operating modes of multiple memory banks by solving the three important tasks simultaneously: (I) assignment of variables to memory banks, (2) scheduling of memory aicess operations, and (3) defemination of operating modes o/banks. Specifically, for an instance of tasks 1 and 2, we formulate task 3 as a shortest path(SP) problem in a network and solved it optimally. We then develop an SP-based heuristic that solves tasks 2 and 3 efficiently in an integrated fashion. We then extend the proposed approach to address the limited register constraint in processor. Fmm experiments with a set of benchmark programs, we confirm that the proposed approach is able to reduce the energy consumption by 15.76% over that by the conventional greedy approach.
