Hardware Enhanced Function Allocation Management in Reconfigurable Systems

Authors:
Michael Ullmann;Wansheng Jin;Jurgen Becker
Affiliations:
Universität Karlsruhe (TH), Germany;Universität Karlsruhe (TH), Germany;Universität Karlsruhe (TH), Germany
Venue:
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 3 - Volume 04
Year:
2005

Citing 3
Cited 0

Case-based reasoning: foundational issues, methodological variations, and system approaches

AI Communications
Dynamic Memory: A Theory of Reminding and Learning in Computers and People

Dynamic Memory: A Theory of Reminding and Learning in Computers and People
Case-Based Reasoning: Survey and Future Directions

XPS '99 Proceedings of the 5th Biannual German Conference on Knowledge-Based Systems: Knowledge-Based Systems - Survey and Future Directions

Quantified Score

Hi-index	0.00

Visualization

Abstract

We present a new approach for a function allocation manager supporting multiple reconfigurable devices. It is a rule-based approach considering resource usage and power consumption. An essential main component which is in the focus of this contribution is a retrieval-unit for function-requests. This unit adopts methodologies from the domain of knowledge-based systems by accounting quality-of-service related parameters from the calling application's function request.