Pregled bibliografske jedinice broj: 1166661
Reducing RAM footprint of the generated tests for AUTOSAR RTE
Reducing RAM footprint of the generated tests for AUTOSAR RTE // 2021 Zooming Innovation in Consumer Technologies Conference (ZINC)
Novi Sad: Institute of Electrical and Electronics Engineers (IEEE), 2021. str. 214-218 doi:10.1109/zinc52049.2021.9499289 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1166661 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Reducing RAM footprint of the generated tests for
AUTOSAR RTE
Autori
Bartulovic, Ante ; Krpic, Zdravko ; Teslic, Nikola ; Subotic, Milos
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
2021 Zooming Innovation in Consumer Technologies Conference (ZINC)
/ - Novi Sad : Institute of Electrical and Electronics Engineers (IEEE), 2021, 214-218
ISBN
978-1-6654-0417-4
Skup
Zooming Innovation in Consumer Technologies Conference (ZINC 2021)
Mjesto i datum
Novi Sad, Srbija, 26.05.2021. - 27.05.2021
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
AUTOSAR ; RAM ; RAM optimization techniques ; embedded systems ; TEG
Sažetak
With the advancement of the automotive industry, a need for developing and maintaining in-car embedded software has risen. In-car embedded systems are limited with the number of available resources including random access memory. In this paper, the goal was to reduce the RAM consumption of automatically generated tests for the embedded computer systems based on the Infineon Tricore AURIX microcontroller. The program that was optimized was written in C, and the code itself was generated using the proprietary Python tools. There are various techniques used for reducing the RAM footprint. In this paper we used loop inversion, loop unrolling, data type size reduction, memory alignment and heuristic methods. Also, compiler optimization options were used but not tested on the board. We achieved up to 10.97% lower RAM footprint with the optimized program code successfully passing all the initial tests.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Projekti:
DGS-UNIOS-ZUP 2018-6 - Povećavanje razine pouzdanosti vožnje autonomnih vozila pomoću sustava kamera na vozilu (Vranješ, Mario, DGS - Interni natječaja Sveučilišta Josipa Jurja Strossmayera u Osijeku za znanstvenoistraživačke i umjetničke projekte UNIOS-ZUP 2018) ( CroRIS)
Ustanove:
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek
Profili:
Zdravko Krpić
(autor)
