Abstract
The onset of Deep Sub Micron (DSM) technology has driven the computing world towards billion device multi-GHz processor architectures leading to a stiff upward curve in power consumption and power density (W/cm 2). In this paper we develop a graph-based power model for multiprocessors that predicts power requirements across the components of the cluster (Compute node, Memory and Network system) at various hierarchical levels when applications are run. PASCOM proposes new metrics for power measurement that integrates execution module characteristics with power dissipation metrics. The PASCOM model is applied to Memory In Processor chip and we study power consumption for parallel scientific applications from SPLASH2 and NAS Parallel suite. Total power dissipated varies by 15%. However, the static and dynamic power dissipation exhibit up to 33% and 60% variation respectively due to workload characteristics.
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Shriraman, A., Venkateswaran, N., Soundararajan, N. (2006). PASCOM: Power Model for Supercomputers. In: Grass, W., Sick, B., Waldschmidt, K. (eds) Architecture of Computing Systems - ARCS 2006. ARCS 2006. Lecture Notes in Computer Science, vol 3894. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11682127_23
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DOI: https://doi.org/10.1007/11682127_23
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-32765-3
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