@inproceedings{6a8a264dc5614ce2b13d2e280b3b45e8,
title = "Partitioning algorithms analysis for heterogeneous NoC based MPSoC",
abstract = "Several new applications have high complexity degree, requiring high processing rate and memory usage. Multiprocessor System-on-Chip (MPSoC) is a promising architecture to fulfill these requirements, due to its high parallelism that enables several tasks been executed at the same time. One problem in current heterogeneous MPSoC design is application's tasks partitioning aiming energy consumption minimization and load balance. In order to optimize partition problems, many algorithms have been applied to generate quality solutions. This work aims to analyze and compare stochastic and heuristic partitioning algorithms for obtaining low energy consumption and load balance when applied to tasks partitioning onto heterogeneous MPSoC.",
keywords = "Mapping, MPSoC, NoC, Partitioning",
author = "Pinotti, {Igor K.} and Thais Webber and Natanael Ribeiro and Fraga, {Carlos N.} and Fagundes, {Rubem D.R.} and C{\'e}sar Marcon",
note = "Copyright: Copyright 2013 Elsevier B.V., All rights reserved.; 2012 2nd Brazilian Symposium on Computing System Engineering, SBESC 2012 ; Conference date: 05-09-2012 Through 07-09-2012",
year = "2012",
doi = "10.1109/SBESC.2012.42",
language = "English",
isbn = "9780769549293",
series = "Brazilian Symposium on Computing System Engineering, SBESC",
pages = "178--183",
booktitle = "Proceedings - 2012 Brazilian Symposium on Computing System Engineering, SBESC 2012",
}