Power estimation at the Register-Transfer level is usually narrowed down to the problem of building accurate power models for the RTL (synthetic) operators. In this work we show that, when RTL power estimation is integrated into a realistic design flow, other types of primitives need to be accurately modeled. In particular, we show that most of the RTL functionality is realized by sparse logic elements. We thus propose statistical power models for these primitives, that we have validated on a set of industrial benchmarks.

A Statistic Power Model for Non-synthetic RTL Operators / M., Bruno; Macii, Alberto; Poncino, Massimo. - (2003), pp. 208-218. [10.1007/978-3-540-39762-5_27]

A Statistic Power Model for Non-synthetic RTL Operators

MACII, Alberto;PONCINO, MASSIMO
2003

Abstract

Power estimation at the Register-Transfer level is usually narrowed down to the problem of building accurate power models for the RTL (synthetic) operators. In this work we show that, when RTL power estimation is integrated into a realistic design flow, other types of primitives need to be accurately modeled. In particular, we show that most of the RTL functionality is realized by sparse logic elements. We thus propose statistical power models for these primitives, that we have validated on a set of industrial benchmarks.
File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate

Caricamento pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11583/1500542
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo