etop-Sensor Network Application Energy Profiling on the LEAP2 Platform

etop-Sensor Network Application Energy Profiling on the LEAP2 Platform
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LEAP2 平台上的 etop-传感器网络应用能量分析

DOI:
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发表时间:
2007
期刊:
International Symposium on Information Processing in Sensor Networks
影响因子:
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通讯作者:
William J. Kaiser
William J. Kaiser
中科院分区:
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文献类型:
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作者:
Dustin McIntire;T. Stathopoulos;William J. Kaiser

文献摘要

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用于关键环境监测应用的广泛的嵌入式联网传感器(ENS)系统现在需要复杂的、高峰功率耗散传感器器件以及按需高性能计算和高带宽通信。这些新平台的嵌入式计算需求包括支持计算密集型图像和信号处理以及优化和统计计算。为了满足这些新的要求,同时保持对低能量操作的关键支持,已经开发了一种新的多处理器节点硬件和软件架构,即低功率能量感知处理(LEAP)。LEAP架构为所有子系统(包括传感器子系统)集成了细粒度的能耗监控和复杂的功率控制调度。LEAP 2平台是第二代LEAP系统,具有更高分辨率的能量监测以及通过专用高性能ASIC进行每个过程和每个应用能量分析的独特能力。我们的演示将通过一个名为etop的自定义监控应用程序来强调这种分析功能。
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.