Energy minimization in dynamic supply voltage scaling systems using data dependent voltage level selection

In this paper we propose a workload distribution based quantized voltage level selection method called Data Dependent Level Selection (DDLS) for minimizing energy in dynamic supply voltage scaling systems. In previous works, the voltage levels have been selected by dividing the maximum normalized workload by the number of quantized voltage levels. The existing techniques place no emphasis on workload characteristics of data in selecting quantized voltage levels. Our DDLS technique is a workload distribution based technique that selects the minimum energy yielding quantized voltage levels for a given data sequence. For the 300-frame Akiyo video sequence, our DDLS analysis shows that up to 55% of energy savings can be obtained compared to the existing methods