Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article A Precise High-Level Power Consumption Model for Embedded Systems Software | Hindawi Publishing Corporation EURASIP Journal on Embedded Systems Volume 2011 Article ID 480805 14 pages doi 2011 480805 Research Article A Precise High-Level Power Consumption Model for Embedded Systems Software Mostafa E. A. Ibrahim 1 2 Markus Rupp EURASIP Member 2 and Hossam A. H. Fahmy3 1 Electrical Engineering Department High Institute of Technology Benha University 13512 Benha Egypt 2 Institute of Communications and RF Engineering Vienna University of Technology 1040 Vienna Austria 3 Electronics and Communication Department Faculty of Engineering Cairo University 12613 Cairo Egypt Correspondence should be addressed to Mostafa E. A. Ibrahim Received 26 February 2010 Revised 17 June 2010 Accepted 11 August 2010 Academic Editor Xiaorui Wang Copyright 2011 Mostafa E. A. Ibrahim et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. The increasing demand for portable computing has elevated power consumption to be one of the most critical embedded systems design parameters. In this paper we present a precise high-level power estimation methodology for the software loaded on a VLIW processor that is based on a functional level power model. The targeted processor of our approach is the TMS320C6416T DSP from Texas Instrument. We consider several important issues in our model such as the pipeline stall inter-instructions effect and cache misses. The contributions are the following. First a precise model to estimate the power consumption of the targeted DSP while running a software algorithm is proposed. Second we prove the validation and precision of our model on many typical algorithms applied in signal and image processing. Third we further validate the precision of our model on a real application applied in the video processing field. The power consumption estimated by our
