On confident task-accurate performance estimation

Beitrag bei einer Tagung


Details zur Publikation

Autor(en): Xu Y, Wang B, Rosales R, Hasholzner R, Teich J
Jahr der Veröffentlichung: 2013
Tagungsband: Proceedings of the International Conference on Architecture of Computing Systems (ARCS)
Seitenbereich: 25-37
ISBN: 9783642364235


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.



FAU-Autoren / FAU-Herausgeber

Teich, Jürgen Prof. Dr.-Ing.
Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design)


Autor(en) der externen Einrichtung(en)
Intel Mobile Communications


Zitierweisen

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.

BibTeX: 

Zuletzt aktualisiert 2018-16-10 um 14:50