Scheduling for minimizing the number of memory accesses in low power applications

The increasing demand for portable electronics has caused power consumption to be a critical issue in the design process. Reducing the total power consumption in portable systems is important in order to maximize the run time with minimum requirements in size and weight of the batteries. Power consumption in memory-intensive operations can be reduced by minimizing the number of memory accesses. We describe two scheduling schemes under fixed hardware resource constraints which reduce the number of memory accesses by minimizing the number of intermediate variables that need to be stored. While the first scheme achieves this by post order traversal of the DFG, the second scheme achieves this by judiciously delaying the scheduling of some of the nodes. Experimental results show that these schemes require significantly fewer memory accesses compared to existing scheduling schemes