DMCA
System-Level Power Optimizing Data-Flow Transformations for Multimedia Applications Realized on Programmable Multimedia Processors
BibTeX
@MISC{Masselos_system-levelpower,
author = {K. Masselos and F. Catthoor and C. E. Goutis and H. Deman},
title = {System-Level Power Optimizing Data-Flow Transformations for Multimedia Applications Realized on Programmable Multimedia Processors},
year = {}
}
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Abstract
In this paper a methodology is presented for the application of a class of power optimizing code transformations based on data flow modifications. The target domain consists of multimedia applications realized on (embedded) programmable processors. In this important context, the application of data flow transformations is a crucial step to reduce the power consumption due to data storage and transfers that forms a significant part of the total power budget of the system. Performance issues are also taken into consideration. The proposed methodology forms a part of a complete methodology for the performance conscious application of power optimizing code transformations in a programmable processor context. The usefulness of the proposed methodology is demonstrated using a complex reallife video processing application.
Keyphrases
system-level power optimizing data-flow transformation multimedia application realized programmable multimedia processor code transformation total power budget complex reallife video processing application performance conscious application target domain crucial step programmable processor context multimedia application data flow modification power consumption complete methodology important context programmable processor performance issue data flow transformation significant part data storage
