Paper Info
Title
Perception Coprocessors for Embedded Systems
Abstract
Recognizing speech, gestures, and visual features are im- portant interface capabilities for embedded mobile sys- tems. Perception algorithms have many traits in common with more conventional media processing applications. The primary motivation for this work is that applications such as real-time, speaker-independent, large-vocabulary, domain-independent continuous speech recognition sys- tems require more performance than is currently avail- able on embedded processors. Even on modern high- performance processors the performance is just barely able to keep up with real-time demands while consuming power at a rate that is well beyond what can be sustained on mobile systems. The solution to this dilemma has tra- ditionally been to design a special ASIC. ASIC design however is both expensive and lacks the generality needed to support dieren t phases of a complex algorithm or even evolutionary improvements to base method. This paper introduces an execution cluster based coprocessor archi- tecture and its CMOS implementation. This is compared against software implementations of algorithms running on a general purpose processor and also against custom ASICs. The cluster achieves an order of magnitude im- provement in energy consumption over a conventional processor while retaining a reasonable level of generality. The architecture is evaluated on several important per- ception applications where energy consumption is shown to improve by a factor of 12-55 times and energy-delay product improves by a factor of 3.8 - 40 times over con- ventional processor approaches.
Year
Venue
Keywords
2003
ESTIMedia
real time,embedded system,embedded processor
Field
DocType
Citations 
Computer science,Real-time computing,Coprocessor,Perception,Embedded system
Conference
4
PageRank 
References 
Authors
0.91
18
3
Name
Order
Citations
PageRank
Binu K. Mathew116612.25
Al Davis298654.47
Ali Ibrahim3585.87