Generalized Execution Time Estimation

Andreas Rechberger, Eugen Brenner

Publikation: Konferenzband/Beitrag in Buch/BerichtKonferenzartikelBegutachtung

Abstract

While developing embedded devices a significant challenge is to choose the appropriate computing architecture. Especially during early design stages providing measurable metric on the performance demands to implement a specified algorithm is required. Usually this includes a large amount of target dependency, like the chosen micro-controller platform. This work aims on providing a generalized method to estimate the processing time of a dedicated algorithm, when being run on a variety of hardware choices. The focus is on a fast exploration of the hardware design space in order to provide guidance for selecting a suitable processing platform.
OriginalspracheEnglisch
Titel2018 IEEE 13th International Symposium on Industrial Embedded Systems (SIES)
Seiten1-4
Seitenumfang4
DOIs
PublikationsstatusVeröffentlicht - 8 Juni 2018
Extern publiziertJa
Veranstaltung2018 IEEE 13th International Symposium on Industrial Embedded Systems (SIES) - Graz, Austria
Dauer: 6 Juni 20188 Juni 2018

Konferenz

Konferenz2018 IEEE 13th International Symposium on Industrial Embedded Systems (SIES)
Zeitraum6/06/188/06/18

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