Reliable estimation of execution time of embedded software
Proceedings of the conference on Design, automation and test in Europe
Performance analysis with confidence intervals for embedded software processes
Proceedings of the 14th international symposium on Systems synthesis
Pareto-Front Exploration with Uncertain Objectives
EMO '01 Proceedings of the First International Conference on Evolutionary Multi-Criterion Optimization
Proceedings of the conference on Design, Automation and Test in Europe - Volume 2
Task-accurate performance modeling in SystemC for real-time multi-processor architectures
Proceedings of the conference on Design, automation and test in Europe: Proceedings
Actor-oriented models for codesign: balancing re-use and performance
Formal methods and models for system design
Statistical performance modeling and optimization
Foundations and Trends in Electronic Design Automation
High-performance timing simulation of embedded software
Proceedings of the 45th annual Design Automation Conference
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Task-accurate performance estimation methods are widely applied for design space exploration at the Electronic System Level (ESL). These methods estimate performance by simulating task-level models annotated with nominal execution time. In early design phases, source code, which is necessary for generating accurate annotations, is usually not available. Instead, extrapolated values or even estimated values are used for performance estimation, which makes the results unreliable and may eventually cause performance violations if used to guide critical design decisions. In this paper, we propose a confident task-accurate performance estimation methodology that uses high-level information available in early design phases and provides confident estimation to guide design space exploration with respect to performance constraints.