Paper Info
Title
Run-time resource allocation for embedded Multiprocessor System-on-Chip using tree-based design space exploration
Abstract
The dynamic nature of application workloads in modern MPSoC-based embedded systems is growing. To cope with the dynamism of application workloads at run time and to improve the efficiency of the underlying system architecture, this paper presents a novel run-time resource allocation algorithm for multimedia applications with the objective of minimizing energy consumption for predefined deadlines. This algorithm is based on a novel tree-based design space exploration (DSE) method, which is performed in two phases: design-time and run-time. During design time, application clustering is combined with the tree-based DSE, and after that, feature extraction and application classification is performed during run-time based on well-known machine learning techniques. We evaluated our algorithm using a heterogeneous MPSoC system with several applications that have different communication and computation behaviors. Our experimental results revealed that during runtime, more than 91% of the applications were classified correctly by our proposed algorithm to select the best resources for allocation. Therefore the results clearly confirm that our algorithm is effective.
Year
DOI
Venue
2017
10.1109/DTIS.2017.7929873
2017 12th International Conference on Design & Technology of Integrated Systems In Nanoscale Era (DTIS)
Keywords
Field
DocType
Run-time Mapping,Multi-processor System on Chip,Embedded Systems,Dynamic workloads,Clustering,Classification,Design Space Exploration
Resource management,System on a chip,Computer science,Real-time computing,Resource allocation,Systems architecture,Cluster analysis,Statistical classification,MPSoC,Design space exploration
Conference
ISBN
Citations 
PageRank 
978-1-5090-6378-9
0
0.34
References 
Authors
23
3
Name
Order
Citations
PageRank
Sima Sinaei112.38
Andy D. Pimentel292465.66
Omid Fatemi37815.71