An energy efficient Rate Selection Algorithm for voltage quantized dynamic voltage scaling

This paper presents a highly energy efficient alternative algorithm to tile conventional workload averaging technique for voltage quantized dynamic voltage scaling. This algorithm incorporates the strengths of the conventional workload averaging technique and our previously proposed Rate Selection Algorithm, resulting in higher energy savings while minimizing the buffer size requirement and improving the overall system stability by minimizing the number of voltage transitions. Our experimental work using the Forward Mapped Inverse Discrete Cosine Transform computation (FMIDCT) as the variable workload computation, nine 300-frame MPEG-2 video sequences as the test data, and a 4-level voltage quantization shows that our algorithm produces better energy savings in all test cases when compared to the workload averaging technique, and the maximum energy saving for the test cases was 23%.