Title :
Optimal memory selection for low power embedded systems
Author :
Marcus Eggenberger;Martin Radetzki
Author_Institution :
University of Stuttgart, Germany Embedded Systems, Pfaffenwaldring 5b, 70569, Germany
Abstract :
We present a mathematical model to optimize on-chip memory configurations for minimal power consumption. Splitting memory into sub-units and mapping frequently accessed addresses to small memories reduces power consumption. We have defined an integer linear programming model to solve the combined problem of finding an optimal selection of memory instances and an optimal mapping of application segments. Yielding power reductions of up to 82% for instruction memory and 73% for data memory, makes the model a valuable tool for system synthesis.
Keywords :
"Memory management","Random access memory","Power demand","Embedded systems","Resource management","Optimization","Mathematical model"
Conference_Titel :
Intelligent Solutions in Embedded Systems (WISES), 2015 12th International Workshop on