TY  - CHAP
AU  - F.Guirado
AU  - Ana Ripoll
AU  - C.Roig
AU  - Aura Hernandez-Sabate
AU  - Emilio Luque
A2  - Euro–Par
ED  - UAB
ED  - W, E.N.
ED  - et al.
PY  - 2006//
TI  - Exploiting Throughput for Pipeline Execution in Streaming Image Processing Applications
T2  - LNCS
BT  - Euro-Par 2006 Parallel Processing
T3  - Lecture Notes In Computer Science
SP  - 1095
EP  - 1105
VL  - 4128
PB  - Springer-Verlag Berlin Heidelberg
CY  - Dresden, Germany (European Union)
KW  - 12th International Euro–Par Conference
N2  - There is a large range of image processing applications that act on an input sequence of image frames that are continuously received. Throughput is a key performance measure to be optimized when execu- ting them. In this paper we propose a new task replication methodology for optimizing throughput for an image processing application in the field of medicine. The results show that by applying the proposed methodo- logy we are able to achieve the desired throughput in all cases, in such a way that the input frames can be processed at any given rate.
L1  - http://refbase.cvc.uab.es/files/GRR2006a.pdf
N1  - IAM
ID  - F.Guirado2006
ER  -