DocumentCode
125620
Title
Mixed-Criticality Run-Time Task Mapping for NoC-Based Many-Core Systems
Author
Fattah, Mohammad ; Rahmani, Amir-Mohammad ; Xu, Thomas Canhao ; Kanduri, Anil ; 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
458
Lastpage
465
Abstract
Contiguous processor allocation improves both the network and the application performance, by decreasing the congestion probability among communication of different applications. Consequently, the average, standard deviation and worst-case latency of the network is decreased significantly. This makes the contiguous allocation a good solution for time-critical applications with bounded deadlines. On the other hand, non-contiguous allocation will increase the system throughput significantly. Isolated nodes are utilized and more applications can finish their job in a time unit. However, this will lead to poor network metrics, unsuitable for real-time applications. In this work, we combine these two approaches in order to manage workloads with mixed-critical characteristics. Real-time applications are mapped contiguously, while non-critical applications are allowed to get dispersed over the available system nodes. Results show over 50% improvement in worst-case latency and 100 times improvement in deadline misses.
Keywords
multiprocessing systems; network-on-chip; probability; NoC-based many-core systems; congestion probability; contiguous processor allocation; mixed-criticality run-time task mapping; real-time applications; system throughput; time-critical applications; Dispersion; Measurement; Ports (Computers); Real-time systems; Resource management; System-on-chip; Throughput; 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.2014.100
Filename
6787315
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