AnySP: Anytime anywhere anyway signal processing

Mark Woh; Sangwon Seo; Scott Mahlke; Trevor Mudge; Chaitali Chakrabarti; Krisztián Flautner

doi:10.1109/MM.2010.8

AnySP: Anytime anywhere anyway signal processing

Mark Woh, Sangwon Seo, Scott Mahlke, Trevor Mudge, Chaitali Chakrabarti, Krisztián Flautner

Research output: Contribution to journal › Article › peer-review

42 Scopus citations

Abstract

Looking forward, the computation requirements of mobile devices will increase by one to two orders of magnitude, but their power requirements will remain stringent to ensure reasonable battery lifetimes. Scaling existing approaches won't suffice; instead, the hardware's inherent computational efficiency, programmability, and adaptability must change. AnySP, a fully programmable architecture that targets multiple application domains, addresses these challenges for next-generation mobile signal processing.

Original language	English (US)
Article number	5430742
Pages (from-to)	81-91
Number of pages	11
Journal	IEEE Micro
Volume	30
Issue number	1
DOIs	https://doi.org/10.1109/MM.2010.8
State	Published - Jan 2010

Keywords

4G
AnySP
DSP
Embedded processor
H.264
Multicore
SIMD
Software-defined radio

ASJC Scopus subject areas

Software
Hardware and Architecture
Electrical and Electronic Engineering

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10.1109/MM.2010.8

Cite this

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title = "AnySP: Anytime anywhere anyway signal processing",

abstract = "Looking forward, the computation requirements of mobile devices will increase by one to two orders of magnitude, but their power requirements will remain stringent to ensure reasonable battery lifetimes. Scaling existing approaches won't suffice; instead, the hardware's inherent computational efficiency, programmability, and adaptability must change. AnySP, a fully programmable architecture that targets multiple application domains, addresses these challenges for next-generation mobile signal processing.",

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note = "Funding Information: This research was supported by ARM Ltd. and the National Science Foundation under grants CNS-0615261, CSR-EHS-0615135, and CCF-0347411.",

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AU - Mahlke, Scott

AU - Mudge, Trevor

AU - Chakrabarti, Chaitali

AU - Flautner, Krisztián

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AB - Looking forward, the computation requirements of mobile devices will increase by one to two orders of magnitude, but their power requirements will remain stringent to ensure reasonable battery lifetimes. Scaling existing approaches won't suffice; instead, the hardware's inherent computational efficiency, programmability, and adaptability must change. AnySP, a fully programmable architecture that targets multiple application domains, addresses these challenges for next-generation mobile signal processing.

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AnySP: Anytime anywhere anyway signal processing

Abstract

Keywords

ASJC Scopus subject areas

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