Exploring the performance–power–energy balance of low-power multicore and manycore architectures for anomaly detection in remote sensing
In this paper, we perform an experimental study of the interactions between execution time
(ie, performance), power, and energy that occur in modern low-power architectures when
executing the RX algorithm for detecting anomalies in hyperspectral images (ie, signatures
which are spectrally different from their surrounding data). We believe this is important
because, for airborne and spaceborne remote sensing missions, power and/or energy can
be in practice as relevant as performance. In this sense, this paper investigates whether …
(ie, performance), power, and energy that occur in modern low-power architectures when
executing the RX algorithm for detecting anomalies in hyperspectral images (ie, signatures
which are spectrally different from their surrounding data). We believe this is important
because, for airborne and spaceborne remote sensing missions, power and/or energy can
be in practice as relevant as performance. In this sense, this paper investigates whether …
[引用][C] Exploring the performance–power–energy balance of low-power multicore and manycore architectures for anomaly detection in remote sensing
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