Performance Analysis and Optimization of Automotive GPUs

  • Fabio Mazzocchetti Barcelona Supercomputing Center / Universitat Politècnica de Catalunya
  • Pedro Benedicte Barcelona Supercomputing Center / Universitat Politècnica de Catalunya
  • Hamid Tabani Barcelona Supercomputing Center
  • Leonidas Kosmidis Barcelona Supercomputing Center
  • Jaume Abella Barcelona Supercomputing Center
  • Francisco J. Cazorla Barcelona Supercomputing Center

Resumo


Advanced Driver Assistance Systems (ADAS) and Autonomous Driving (AD) have drastically increased the performance demands of automotive systems. Suitable high-performance 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.
Palavras-chave: Graphics processing units, Automotive engineering, Benchmark testing, Computer architecture, Autonomous vehicles, Hardware, Optimization
Publicado
15/10/2019
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MAZZOCCHETTI, Fabio; BENEDICTE, Pedro; TABANI, Hamid; KOSMIDIS, Leonidas; ABELLA, Jaume; CAZORLA, Francisco J.. Performance Analysis and Optimization of Automotive GPUs. In: INTERNATIONAL SYMPOSIUM ON COMPUTER ARCHITECTURE AND HIGH PERFORMANCE COMPUTING (SBAC-PAD), 31. , 2019, Campo Grande/MS. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2019 . p. 96-103.