• No se han encontrado resultados

An analytical methodology to derive power models based on hardware and software metrics

N/A
N/A
Protected

Academic year: 2020

Share "An analytical methodology to derive power models based on hardware and software metrics"

Copied!
8
0
0

Texto completo

Loading

Figure

Fig. 1: Partial correlation matrix obtained from the training set. Blue and red circles stand for positive and negative correlations, respectively.
Table 1: List of the 15 most correlated representants in respect to power with h = 0.95 for the correlation threshold between clusters.
Table 2: Absolute error of baseline, simple and combined models against the training and validation sets.
Fig. 3: Statistics for the validation sets using the models CPU CLK UNHALTED CORE and L2DC+UOPS0+INTS+OS+SENS.

Referencias

Documento similar

En concreto, los principales objetivos de investigación de la presente tesis se pueden resumir de la siguiente manera: (1) analizar y determinar cuáles son los valores

In addition to traffic and noise exposure data, the calculation method requires the following inputs: noise costs per day per person exposed to road traffic

In the previous sections we have shown how astronomical alignments and solar hierophanies – with a common interest in the solstices − were substantiated in the

In this paper a hardware implementation of the in- stantaneous frequency of the phonocardiographic sig- nal is proposed, based on the definition given by Ville (Ville 1948) and

In this work, we demonstrate that it is possible to make PMC prediction models aware of the manufacturing variability and accurately predict the socket and application specific

This paper provides an optimization framework and computationally less intensive heuristics to tackle exactly the aforementioned problems. The main contributions of this work are: i)

Government policy varies between nations and this guidance sets out the need for balanced decision-making about ways of working, and the ongoing safety considerations

These results include the temporal evolution of the performance counters, any models requested by the user, the source code references and memory references progression, and the