In this paper, we present a novel approach to generate such a model offline using kernel clustering and multivariate linear regression. Our model requires only ...

Abstract—As power becomes an increasingly important design factor in high-end supercomputers, future systems will likely operate with power limitations ...

We apply our model to predict power and performance for different applications using arbitrary configurations, and show that our model, when used with hardware ...

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Bibliographic details on Adaptive Configuration Selection for Power-Constrained Heterogeneous Systems.

[24] P. E. Bailey et al., “Adaptive configuration selection for power- constrained heterogeneous systems,” in Parallel Processing (ICPP),. 2014 43rd ...

Adaptive Configuration Selection for Power-Constrained Heterogeneous Systems. P. Bailey, D. Lowenthal, V. Ravi, B. Rountree, M. Schulz, and B. de Supinski.

[15] P. E. Bailey et al., “Adaptive Configuration Selection for Power-. Constrained Heterogeneous Systems,” in 2014 43rd International. Conference on Parallel ...

ARCS (Adaptive Runtime Configuration Selection) framework that automatically selects the best runtime configuration for each OpenMP parallel region at a ...

... power allocations. This paper proposes Adaptive Power Shifting for multi-accelerator heterogeneous systems (APS), a technique that leverages system�...