Conference contribution


On confident task-accurate performance estimation


Publication Details
Author(s): Xu Y, Wang B, Rosales R, Hasholzner R, Teich J
Publication year: 2013
Conference Proceedings Title: Proceedings of the International Conference on Architecture of Computing Systems (ARCS)
Pages range: 25-37
ISBN: 9783642364235
Event: 26th International Conference on Architecture of Computing Systems, ARCS 2013
Event location: Prague

Abstract

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. © 2013 Springer-Verlag.



How to cite
APA: Xu, Y., Wang, B., Rosales, R., Hasholzner, R., & Teich, J. (2013). On confident task-accurate performance estimation. In Proceedings of the International Conference on Architecture of Computing Systems (ARCS) (pp. 25-37). Prague, CZ.

MLA: Xu, Yang, et al. "On confident task-accurate performance estimation." Proceedings of the 26th International Conference on Architecture of Computing Systems, ARCS 2013, Prague 2013. 25-37.

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