DocumentCode :
125619
Title :
Multi Rectangle Modeling Approach for Application Mapping on a Many-Core System
Author :
Tcarenko, Igor ; Fattah, Mohammad ; Liljeberg, Pasi ; Plosila, Juha ; Tenhunen, Hannu
Author_Institution :
Dept. of Inf. Technol., Univ. of Turku, Turku, Finland
fYear :
2014
fDate :
12-14 Feb. 2014
Firstpage :
452
Lastpage :
457
Abstract :
The importance of first node selection in run-time resource management is shown in our previous work, SHiC. It is desired in SHiC to find the optimum node in an agile manner. Accordingly, the current mapping picture of the system is simplified to SHiC by modeling each application as a rectangle of occupied nodes. However, the algorithm performance can be influenced significantly with the rectangle model of each application. In this work, we introduce a precise description of our new accurate rectangle modeling algorithm. Moreover, we show that it is not sufficient to always model an application with only one rectangle, as dispersion of the allocated nodes is an irrepressible phenomenon. Accordingly, our algorithm enables to model a mapped application with several rectangles by tuning the model accuracy against the algorithm complexity. However, the algorithm is not in the critical path of the applications executions. Our results shows up to 5% reduction in power dissipation of the network.
Keywords :
computational complexity; multiprocessing systems; SHiC; algorithm complexity; allocated node; application mapping; first node selection; irrepressible phenomenon; many-core system; mapping picture; model accuracy; multirectangle modeling approach; power dissipation; precise description; rectangle modeling algorithm; run-time resource management; Accuracy; Approximation algorithms; Approximation methods; Complexity theory; Heuristic algorithms; Resource management; Shape; Application Mapping; Contiguous Task Mapping; Dynamic Many-Core Systems; Processor allocation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel, Distributed and Network-Based Processing (PDP), 2014 22nd Euromicro International Conference on
Conference_Location :
Torino
ISSN :
1066-6192
Type :
conf
DOI :
10.1109/PDP.2014.99
Filename :
6787314
Link To Document :
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