A Clustering Framework for Task Partitioning Based on Function-level Data Usage Analysis 364_a_clustering_framework_for_task_partitioning_based_on_functi.pdf

Publication TypeConference Paper
TitleA Clustering Framework for Task Partitioning Based on Function-level Data Usage Analysis
Author(s)S.A. Ostadzadeh
R.J. Meeuws
K. Sigdel
K.L.M. Bertels
Publication DateFebruary 2009
Conference Name17th International Symposium on Field Programmable Gate Arrays
Period22-24 February 2009
LocationMonterey, USA
ISBNt.b.s.
Page Numbers
publishedPublished
Selected PublicationNo
NotePOSTER SESSION: Processors & CAD tools
Topic(s)None
Theme(s)None
Project(s)None
Group(s)Computer Engineering

IEEE BibTex entry:
@inproceedings{,
author = "S.A. Ostadzadeh and R.J. Meeuws and K. Sigdel and K.L.M. Bertels",
title = "A Clustering Framework for Task Partitioning Based on Function-level Data Usage Analysis",
booktitle = "Proc. 17th International Symposium on Field Programmable Gate Arrays",
address = "Monterey, USA",
month = "February",
year = "2009",
pages = ""
}