Static and dynamic task mapping onto network on chip multiprocessors

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Bibliographic Details
Main Author: Freddy Bolaños-Martínez
Format: Artículo científico
Language:en
Published: Universidad Nacional de Colombia 2014
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author Freddy Bolaños-Martínez
author_facet Freddy Bolaños-Martínez
contents Static and dynamic task mapping onto network on chip multiprocessors Freddy Bolaños-Martínez José Edison Aedo Fredy Rivera-Vélez Ingeniería on Population Task mapping Chip (MPSoC) Multiprocessor System Due to its scalability and flexibility, Network-on-Chip (NoC) is a growing and promising communication paradigm for Multiprocessor System-on-Chip (MPSoC) design. As the manufacturing process scales down to the deep submicron domain and the complexity of the system increases, fault-tolerant design strategies are gaining increased relevance. This paper exhibits the use of a Population-Based Incremental Learning (PBIL) algorithm aimed at finding the best mapping solutions at design time, as well as to finding the optimal remapping solution, in presence of single-node failures on the NoC. The optimization objectives in both cases are the application completion time and the network's peak bandwidth. A deterministic XY routing algorithm was used in order to simulate the traffic conditions in the network which has a 2D mesh topology. Obtained results are promising. The proposed algorithm exhibits a better performance, when compared with other reported approaches, as the problem size increases. 2014 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49631031005 en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.185 Vol.81
format Artículo científico
id redalyc_49631031005
institution Redalyc
language en
publishDate 2014
publisher Universidad Nacional de Colombia
spellingShingle Static and dynamic task mapping onto network on chip multiprocessors
Freddy Bolaños-Martínez
Ingeniería
on
Population
Task mapping
Chip (MPSoC)
Multiprocessor System
Static and dynamic task mapping onto network on chip multiprocessors Freddy Bolaños-Martínez José Edison Aedo Fredy Rivera-Vélez Ingeniería on Population Task mapping Chip (MPSoC) Multiprocessor System Due to its scalability and flexibility, Network-on-Chip (NoC) is a growing and promising communication paradigm for Multiprocessor System-on-Chip (MPSoC) design. As the manufacturing process scales down to the deep submicron domain and the complexity of the system increases, fault-tolerant design strategies are gaining increased relevance. This paper exhibits the use of a Population-Based Incremental Learning (PBIL) algorithm aimed at finding the best mapping solutions at design time, as well as to finding the optimal remapping solution, in presence of single-node failures on the NoC. The optimization objectives in both cases are the application completion time and the network's peak bandwidth. A deterministic XY routing algorithm was used in order to simulate the traffic conditions in the network which has a 2D mesh topology. Obtained results are promising. The proposed algorithm exhibits a better performance, when compared with other reported approaches, as the problem size increases. 2014 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49631031005 en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.185 Vol.81
title Static and dynamic task mapping onto network on chip multiprocessors
topic Ingeniería
on
Population
Task mapping
Chip (MPSoC)
Multiprocessor System
url https://www.redalyc.org/articulo.oa?id=49631031005