Authors:
Jana Blaschke
1
;
Christian Sebeke
1
and
Wolfgang Rosenstiel
2
Affiliations:
1
Robert Bosch GmbH, Germany
;
2
University of Tübingen, Germany
Keyword(s):
Multi agent simulation, Global scheduling, Local scheduling, Task planning, ASIC design.
Related
Ontology
Subjects/Areas/Topics:
Agents
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Bioinformatics
;
Biomedical Engineering
;
Distributed and Mobile Software Systems
;
Enterprise Information Systems
;
Industrial Applications of AI
;
Information Systems Analysis and Specification
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Methodologies and Technologies
;
Multi-Agent Systems
;
Operational Research
;
Simulation
;
Soft Computing
;
Software Engineering
;
Symbolic Systems
;
Task Planning and Execution
Abstract:
Because of constantly improving technologies, the complexity of Integrated Circuits (ICs) is continuously increasing. Consequently IC design becomes continously more challenging and complex. A huge number of different possible design flows exists, delimited by different constraints. The design flow dynamically changes as recursions between design tasks occur. An approach that allows a fast and efficient ASIC design and that can deal with this huge complexity and dynamics is needed. Therefore we propose a methodology based on a multi-agent simulation combined with global and local scheduling techniques to construct a time-dependent, detailed model of the ASIC design process, which permits an extensive analysis and efficient organization.