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Energy-Efficient Sensing with the Low Power, Energy Aware Processing (LEAP) Architecture

Energy-Efficient Sensing with the Low Power, Energy Aware Processing (LEAP) Architecture Energy-Ef cient Sensing with the Low Power, Energy Aware Processing (LEAP) Architecture DUSTIN MCINTIRE, THANOS STATHOPOULOS, SASANK REDDY, THOMAS SCHMIDT, and WILLIAM J. KAISER, University of California, Los Angeles A broad range of embedded networked sensing (ENS) applications have appeared for large-scale systems, introducing new requirements leading to new embedded architectures, associated algorithms, and supporting software systems. These new requirements include the need for diverse and complex sensor systems that present demands for energy and computational resources, as well as for broadband communication. To satisfy application demands while maintaining critical support for low-energy operation, a new multiprocessor node hardware and software architecture, Low Power Energy Aware Processing (LEAP), has been developed. In this article, we described the LEAP design approach, in which the system is able to adaptively select the most energy-ef cient hardware components matching an application ™s needs. The LEAP platform supports highly dynamic requirements in sensing delity, computational load, storage media, and network bandwidth. It focuses on episodic operation of each component and considers the energy dissipation for each platform task by integrating ne-grained energy-dissipation monitoring and sophisticated power-control scheduling for all subsystems, including sensors. In addition to the LEAP platform ™s unique hardware capabilities, http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM Transactions on Embedded Computing Systems (TECS) Association for Computing Machinery

Energy-Efficient Sensing with the Low Power, Energy Aware Processing (LEAP) Architecture

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Publisher
Association for Computing Machinery
Copyright
Copyright © 2012 by ACM Inc.
ISSN
1539-9087
DOI
10.1145/2220336.2220339
Publisher site
See Article on Publisher Site

Abstract

Energy-Ef cient Sensing with the Low Power, Energy Aware Processing (LEAP) Architecture DUSTIN MCINTIRE, THANOS STATHOPOULOS, SASANK REDDY, THOMAS SCHMIDT, and WILLIAM J. KAISER, University of California, Los Angeles A broad range of embedded networked sensing (ENS) applications have appeared for large-scale systems, introducing new requirements leading to new embedded architectures, associated algorithms, and supporting software systems. These new requirements include the need for diverse and complex sensor systems that present demands for energy and computational resources, as well as for broadband communication. To satisfy application demands while maintaining critical support for low-energy operation, a new multiprocessor node hardware and software architecture, Low Power Energy Aware Processing (LEAP), has been developed. In this article, we described the LEAP design approach, in which the system is able to adaptively select the most energy-ef cient hardware components matching an application ™s needs. The LEAP platform supports highly dynamic requirements in sensing delity, computational load, storage media, and network bandwidth. It focuses on episodic operation of each component and considers the energy dissipation for each platform task by integrating ne-grained energy-dissipation monitoring and sophisticated power-control scheduling for all subsystems, including sensors. In addition to the LEAP platform ™s unique hardware capabilities,

Journal

ACM Transactions on Embedded Computing Systems (TECS)Association for Computing Machinery

Published: Jul 1, 2012

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