etop: sensor network application energy profiling on the LEAP2 platform

Authors:
Dustin McIntire;Thanos Stathopoulos;William Kaiser
Affiliations:
University of California, Los Angeles, Los Angeles, California;FORTH, ICS, Heraklion, Crete, Greece;University of California, Los Angeles, Los Angeles, California
Venue:
Proceedings of the 6th international conference on Information processing in sensor networks
Year:
2007

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Abstract

A broad range of embedded networked sensor (ENS) systems for critical environmental monitoring applications now require complex, high peak power dissipating sensor devices, as well as on-demand high performance computing and high bandwidth communication. Embedded computing demands for these new platforms include support for computationally intensive image and signal processing as well as optimization and statistical computing. To meet these new requirements 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. The LEAP architecture integrates fine-grained energy dissipation monitoring and sophisticated power control scheduling for all subsystems including sensor subsystems. The LEAP2 platform is a second generation LEAP system with even higher resolution energy monitoring as well as the unique ability to do per process and per application energy profiling via a dedicated high performance ASIC. Our demonstration will highlight this profiling capability through a custom monitoring application named etop.