Estimation of software power consumption is becoming one of the major problems for many embedded applications. The paper presents a novel approach to compute the energy of an Instruction Set, through a suitable functional decomposition of the activities involved during instruction execution. One of the main advantages of this approach is the capability to predict the power figures of the overall Instruction-Set starting from a small subset. A formal discussion on the statistical properties of the model is included, together with its application on five commercial 32-bit microprocessors.
Energy Estimation for 32-Bit Microprocessors
BRANDOLESE, CARLO;FORNACIARI, WILLIAM;SALICE, FABIO;SCIUTO, DONATELLA
2000-01-01
Abstract
Estimation of software power consumption is becoming one of the major problems for many embedded applications. The paper presents a novel approach to compute the energy of an Instruction Set, through a suitable functional decomposition of the activities involved during instruction execution. One of the main advantages of this approach is the capability to predict the power figures of the overall Instruction-Set starting from a small subset. A formal discussion on the statistical properties of the model is included, together with its application on five commercial 32-bit microprocessors.File in questo prodotto:
| File | Dimensione | Formato | |
|---|---|---|---|
|
Brandolese-codes00.pdf
Accesso riservato
:
Pre-Print (o Pre-Refereeing)
Dimensione
174.13 kB
Formato
Adobe PDF
|
174.13 kB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
