Abstract
Running multiple applications optimally in terms of Quality of Service (e.g., performance and power consumption) on embedded multi-core platforms is a huge challenge.Moreover, current applications exhibit unpredictable changes of the environment and workload conditions which makes the task of running them optimally even more difficult. This dynamic trend in application runs will grow even more in future applications.
This Chapter presents an automated tool flow which tackles this challenge by a two-step approach: first at design-time, a Design Space Exploration (DSE) tool is coupled with a platform simulator(s) to get optimum operating points for the set of target applications. Secondly, at run-time, a lightweight Run-time Resource Manager (RRM) leverages the design-time DSE results for deciding an operating configuration to be loaded at run-time for each application. This decision is performed dynamically, by taking into consideration available platform resources and the QoS requirements of the specific use-case. To keep RRM execution and resource overhead at minimum, a very fast optimisation heuristic is integrated.
Application of this tool-flow on a real-life multimedia use case (described in Chapter 9) will demonstrate a significant speedup in optimisation process while maintaining desired Quality of Service.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer Science+Business Media, LLC
About this chapter
Cite this chapter
Avasare, P. et al. (2011). Design Space Exploration Supporting Run-Time Resource Management. In: Silvano, C., Fornaciari, W., Villar, E. (eds) Multi-objective Design Space Exploration of Multiprocessor SoC Architectures. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-8837-9_5
Download citation
DOI: https://doi.org/10.1007/978-1-4419-8837-9_5
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4419-8836-2
Online ISBN: 978-1-4419-8837-9
eBook Packages: EngineeringEngineering (R0)