Performance comparison of DWT scheduling alternatives on programmable platforms

Zervas, N; Tagopoulos, I; Spiliotopoulos, V; Anagnostopoulos, G; Soudris, D; Goutis, C

dc.contributor.author	Zervas, N	en
dc.contributor.author	Tagopoulos, I	en
dc.contributor.author	Spiliotopoulos, V	en
dc.contributor.author	Anagnostopoulos, G	en
dc.contributor.author	Soudris, D	en
dc.contributor.author	Goutis, C	en
dc.date.accessioned	2014-03-01T02:49:06Z
dc.date.available	2014-03-01T02:49:06Z
dc.date.issued	2001	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/34291
dc.subject	Discrete Wavelet Transform	en
dc.subject	Energy Dissipation	en
dc.subject	Performance Comparison	en
dc.subject	General Purpose Processor	en
dc.title	Performance comparison of DWT scheduling alternatives on programmable platforms	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ISCAS.2001.921182	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ISCAS.2001.921182	en
heal.publicationDate	2001	en
heal.abstract	The Discrete Wavelet Transformations (DWT) are data in- tensive algorithms. Energy dissipation and execution time of such algorithms heavily depends on data memory hierar- chy performance, when programmable platforms are con- sidered. Existing filtering operations scheduling alterna- tives for the 1D-DWT, employ different levels of data ac- cesses locality. However locality of data references, usually comes at the expense of	en
heal.journalName	IEEE International Symposium on Circuits and Systems	en
dc.identifier.doi	10.1109/ISCAS.2001.921182	en