dc.contributor.author |
Sanz, C |
en |
dc.contributor.author |
Prieto, M |
en |
dc.contributor.author |
Gómez, J |
en |
dc.contributor.author |
Papanikolaou, A |
en |
dc.contributor.author |
Miranda, M |
en |
dc.contributor.author |
Catthoor, F |
en |
dc.date.accessioned |
2014-03-01T01:56:37Z |
|
dc.date.available |
2014-03-01T01:56:37Z |
|
dc.date.issued |
2008 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/28198 |
|
dc.subject |
Control System |
en |
dc.subject |
Embedded System |
en |
dc.subject |
Energy Consumption |
en |
dc.subject |
Memory Architecture |
en |
dc.subject |
Multimedia Application |
en |
dc.subject |
Process Variation |
en |
dc.subject |
Time Constraint |
en |
dc.title |
Combining system scenarios and configurable memories to tolerate unpredictability |
en |
heal.type |
journalArticle |
en |
heal.identifier.primary |
10.1145/1367045.1367058 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1145/1367045.1367058 |
en |
heal.publicationDate |
2008 |
en |
heal.abstract |
Process variability and the dynamism of new applications increase the uncertainty of embedded systems and force designers to use pessimistic assumptions, which have a tremendous impact on both the performance and energy consumption of their memory organizations. In this article we introduce an experimental framework which tries to mitigate the effects of both sources of unpredictability. At compile time, an |
en |
heal.journalName |
ACM Transactions on Design Automation of Electronic Systems |
en |
dc.identifier.doi |
10.1145/1367045.1367058 |
en |