The current trend in designing Advanced Driving Assistance System (ADAS) is to enhance their computing power by using modern multi/many core accelerators. For many critical applications such as pedestrian detection, line following, and path planning the Graphic Processing Unit (GPU) is the most popular choice for obtaining orders of magnitude increases in performance at modest power consumption. This is made possible by exploiting the general purpose nature of today's GPUs, as such devices are known to express unprecedented performance per watt on generic embarrassingly parallel workloads (as opposed of just graphical rendering, as GPUs where only designed to sustain in previous generations). In this work, we explore novel challenges that system engineers have to face in terms of real-time constraints and functional safety when the GPU is the chosen accelerator. More specifically, we investigate how much of the adopted safety standards currently applied for traditional platforms can be translated to a GPU accelerated platform used in critical scenarios.

A Perspective on Safety and Real-Time Issues for GPU Accelerated ADAS / Sanudo Olmedo, Ignacio; Capodieci, Nicola; Cavicchioli, Roberto. - (2018), pp. 4071-4077. (Intervento presentato al convegno 44th Annual Conference of the IEEE Industrial Electronics Society - IECON 2018 tenutosi a Washington, DC, USA nel 21-23 Oct. 2018) [10.1109/IECON.2018.8591540].

A Perspective on Safety and Real-Time Issues for GPU Accelerated ADAS

Sanudo Olmedo, Ignacio;Nicola Capodieci;Roberto Cavicchioli
2018

Abstract

The current trend in designing Advanced Driving Assistance System (ADAS) is to enhance their computing power by using modern multi/many core accelerators. For many critical applications such as pedestrian detection, line following, and path planning the Graphic Processing Unit (GPU) is the most popular choice for obtaining orders of magnitude increases in performance at modest power consumption. This is made possible by exploiting the general purpose nature of today's GPUs, as such devices are known to express unprecedented performance per watt on generic embarrassingly parallel workloads (as opposed of just graphical rendering, as GPUs where only designed to sustain in previous generations). In this work, we explore novel challenges that system engineers have to face in terms of real-time constraints and functional safety when the GPU is the chosen accelerator. More specifically, we investigate how much of the adopted safety standards currently applied for traditional platforms can be translated to a GPU accelerated platform used in critical scenarios.
2018
44th Annual Conference of the IEEE Industrial Electronics Society - IECON 2018
Washington, DC, USA
21-23 Oct. 2018
4071
4077
Sanudo Olmedo, Ignacio; Capodieci, Nicola; Cavicchioli, Roberto
A Perspective on Safety and Real-Time Issues for GPU Accelerated ADAS / Sanudo Olmedo, Ignacio; Capodieci, Nicola; Cavicchioli, Roberto. - (2018), pp. 4071-4077. (Intervento presentato al convegno 44th Annual Conference of the IEEE Industrial Electronics Society - IECON 2018 tenutosi a Washington, DC, USA nel 21-23 Oct. 2018) [10.1109/IECON.2018.8591540].
File in questo prodotto:
File Dimensione Formato  
iecon2018.pdf

Open access

Tipologia: Versione dell'autore revisionata e accettata per la pubblicazione
Dimensione 158.15 kB
Formato Adobe PDF
158.15 kB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

Licenza Creative Commons
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1172017
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 12
  • ???jsp.display-item.citation.isi??? 8
social impact