An energy efficient rate selection algorithm for voltage quantized dynamic voltage scaling

©2001 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.The paper presents a highly energy efficient alternative algorithm to the 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 buffers 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%.Lama H. Chandrasena Priyadarshana Chandrasena Michael J. Liebel