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== Abstract ==

© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Advanced Driver Assistance Systems (ADAS) and Autonomous Driving (AD) have drastically increased the performance demands of automotive systems. Suitable highperformance platforms building upon Graphic Processing Units (GPUs) have been developed to respond to this demand, being NVIDIA Jetson TX2 a relevant representative. However, whether high-performance GPU configurations are appropriate for automotive setups remains as an open question. This paper aims at providing light on this question by modelling an automotive GPU (Jetson TX2), analyzing its microarchitectural parameters against relevant benchmarks, and identifying specific configurations able to meaningfully increase performance within similar cost envelopes, or to decrease costs preserving original performance levels. Overall, our analysis opens the door to the optimization of automotive GPUs for further system efficiency.

Peer Reviewed

== Original document ==

The different versions of the original document can be found in:

* [http://dx.doi.org/10.1109/sbac-pad.2019.00027 http://dx.doi.org/10.1109/sbac-pad.2019.00027]

* [http://hdl.handle.net/2117/175118 http://hdl.handle.net/2117/175118]

* [https://upcommons.upc.edu/bitstream/2117/175118/1/main.pdf https://upcommons.upc.edu/bitstream/2117/175118/1/main.pdf]

* [http://xplorestaging.ieee.org/ielx7/8910500/8924148/08924154.pdf?arnumber=8924154 http://xplorestaging.ieee.org/ielx7/8910500/8924148/08924154.pdf?arnumber=8924154],
: [http://dx.doi.org/10.1109/sbac-pad.2019.00027 http://dx.doi.org/10.1109/sbac-pad.2019.00027]

* [https://upcommons.upc.edu/handle/2117/175118 https://upcommons.upc.edu/handle/2117/175118],
: [https://upcommons.upc.edu/bitstream/2117/175118/1/main.pdf https://upcommons.upc.edu/bitstream/2117/175118/1/main.pdf],
: [https://dblp.uni-trier.de/db/conf/sbac-pad/sbac-pad2019.html#MazzocchettiBTK19 https://dblp.uni-trier.de/db/conf/sbac-pad/sbac-pad2019.html#MazzocchettiBTK19],
: [https://academic.microsoft.com/#/detail/2993508394 https://academic.microsoft.com/#/detail/2993508394]

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Scipediacontent: Scipediacontent moved page Draft Content 436522591 to Mazzocchetti et al 2019a

Scipediacontent: Created page with " == Abstract == © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including..."