Open AccessEnergy Optimization of Distributed Embedded Processors by Combined Data Compression and Functional Partitioning
Author(s) -
Liu,Jinfeng,
Chou,Pai H.
Publication year - 2003
Language(s) - English
Resource type - Book series
ISBN - 1-58113-762-1
DOI - 10.1109/iccad.2003.62
Subject(s) - embedded systems , program processors , data compression , data transfer , telecommunication traffic , image processing , cmos integrated circuits , electric potential , input output programs , microprocessor chips , computer architecture , multiprocessing systems , automatic target recognition , bandwidth , algorithms , constraint theory , ]2
[[abstract]]Transmitting compressed data can reduce inter-processor communication traffic and create new opportunities for DVS (dynamic voltage scaling) in distributed embedded systems. However, data compression alone may not be effective unless coordinated with functional partitioning. This paper presents a dynamic programming technique that combines compression and functional partitioning to minimize energy on multiple voltage-scalable processors running pipelined data-regular applications under performance constraints. Our algorithm computes the optimal functional partitioning, CPU speed for each node, and their respective compression ratios. We validate the algorithm's effectiveness on a real distributed embedded system running an image processing algorithm.[[fileno]]2030236030008[[department]]資訊工程學
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