Automated power gating methodology for dataflow-based reconfigurable systems

FANNI, TIZIANA;SAU, CARLO;RAFFO, LUIGI;PALUMBO, FRANCESCA
2015-01-01

Abstract

Modern embedded systems designers are required to implement efficient multi-functional applications, over portable platforms under strong energy and resources constraints. Automatic tools may help them in challenging such a complex scenario: to develop complex reconfigurable systems while reducing time-to-market. At the same time, automated methodologies can aid them to manage power consumption. Dataflow models of computation, thanks to their modularity, turned out to be extremely useful to these purposes. In this paper, we will demonstrate as they can be used to automatically achieve power management since the earliest stage of the design flow. In particular, we are focussing on the automation of power gating. The methodology has been evaluated on an image processing use case targeting an ASIC 90 nm CMOS technology.
2015
Inglese
Proceedings of the 12th ACM International Conference on Computing Frontiers
9781450333580
Association for Computing Machinery
New York
STATI UNITI D'AMERICA
1
6
6
https://dl.acm.org/doi/pdf/10.1145/2742854.2747285
https://dl.acm.org/doi/proceedings/10.1145/2742854#issue-downloads
12th ACM International Conference on Computing Frontiers (CF'15)
Esperti anonimi
18-21 Maggio 2015
Ischia, IT
internazionale
scientifica
power gating; coarse-grained reconfigurable systems; dataflow; MPEG-RVC; automated power management
no
4 Contributo in Atti di Convegno (Proceeding)::4.1 Contributo in Atti di convegno
Fanni, Tiziana; Sau, Carlo; Raffo, Luigi; Palumbo, Francesca
273
4
4.1 Contributo in Atti di convegno
open
info:eu-repo/semantics/conferencePaper
Files in This Item:
File Size Format  
a61-fanni.pdf

open access

Description: paper
Type: versione editoriale
Size 592.99 kB
Format Adobe PDF
592.99 kB Adobe PDF View/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Questionnaire and social

Share on:
Impostazioni cookie