- A framework for self-adaptive collaborative computing on reconfigurable platforms
- Advances in Parallel Computing
- Pages (from-to)
- Document type
- Faculty of Science (FNWI)
- Informatics Institute (IVI)
As the number and complexity of computing devices in the environment around us increases, it is interesting to see how we could exploit that and glue them together to create larger co-operative distributed systems. This paper describes a framework for dynamically aggregating and configuring processing resources in order to meet local requirements and constraints. The capability of this framework is demonstrated by a case study using an adaptive least mean squares filter (ALMS) application. ALMS improves convergence of least mean squares filters at the cost of more resources, and allows us to demonstrate abilities of the framework such as task offloading and run-time adaptation to available resources.
- go to publisher's site
- Proceedings of ParCo2011, the 14th biennial ParCo Conference, held from 31 August to 3 September 2011, in Ghent, Belgium
Proceedings title: Applications, tools and techniques on the road to exascale computing
Publisher: IOS Press
Place of publication: Amsterdam
Editors: K. De Bosschere, E. d' Hollander, G.R. Joubert, D. Padua, F. Peters, M. Sawyer
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