Safety-related challenges and opportunities for GPUs in the automotive domain

Cita com:
hdl:2117/166388
Document typeArticle
Defense date2018-10-09
PublisherIEEE
Rights accessOpen Access
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ProjectSuPerCom - Sustainable Performance for High-Performance Embedded Computing Systems (EC-H2020-772773)
COMPUTACION DE ALTAS PRESTACIONES VII (MINECO-TIN2015-65316-P)
RYC-2013-14717 (MINECO-RYC-2013-14717)
PROBABILISTIC TIMING ANALYSIS OF HIGH-PERFORMANCE AND RELIABLE PROCESSORS (MINECO-TIN2014-60404-JIN)
COMPUTACION DE ALTAS PRESTACIONES VII (MINECO-TIN2015-65316-P)
RYC-2013-14717 (MINECO-RYC-2013-14717)
PROBABILISTIC TIMING ANALYSIS OF HIGH-PERFORMANCE AND RELIABLE PROCESSORS (MINECO-TIN2014-60404-JIN)
Abstract
GPUs have been shown to cover the computing performance needs of autonomous driving (AD) systems. However, since the GPUs used for AD build on designs for the mainstream market, they may lack fundamental properties for correct operation under automotive's safety regulations. In this paper, we analyze some of the main challenges in hardware and software design to embrace GPUs as the reference computing solution for AD, with the emphasis in ISO 26262 functional safety requirements.
CitationAlcaide, S. [et al.]. Safety-related challenges and opportunities for GPUs in the automotive domain. "IEEE Micro", 9 Octubre 2018, vol. 38, núm. 6, p. 46-55.
ISSN0272-1732
Publisher versionhttps://ieeexplore.ieee.org/document/8486955
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