Low power storage for hierarchical graphs

In data dominated applications, like multi-media and telecom, data storage and transfers are the most important factors in terms of power, area and system performance. Several steps which optimize these costs are present in our systematic Data Transfer and Storage Exploration (DTSE) methodology. Here, we focus on the Storage Cycle Budget Distribution (SCBD), a step which is crucial for meeting the real-time constraints in typical multi-media and telecom applications. This paper proves the effectiveness of the develloped prototype tool on driver applications of several application domains. The derived cost information can be effectively used to trade off the cycles assigned to the different concurrent operating system tasks or between memory subsystem and to the processor data-path.