Title:
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Performance analysis and optimization of automotive GPUs
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Author:
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Mazzocchetti, Fabio; Benedicte Illescas, Pedro; Tabani, Hamid; Kosmidis, Leonidas; Abella Ferrer, Jaume; Cazorla Almeida, Francisco Javier
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Other authors:
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Universitat Politècnica de Catalunya. Doctorat en Arquitectura de Computadors |
Abstract:
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Abstract:
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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. |
Abstract:
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Peer Reviewed |
Subject(s):
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-Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors -High performance computing -Supercomputers -Graphics processing units -Automotive engineering -Benchmark testing -Computer architecture -Autonomous vehicles -Hardware -Optimization -Supercomputadors -Càlcul intensiu (Informàtica) |
Rights:
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Document type:
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Article - Submitted version Conference Object |
Published by:
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Institute of Electrical and Electronics Engineers (IEEE)
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