Title
Work-in-progress: Daphne- A n automotive benchmark suite for parallel programming models on embedded heterogeneous platforms
Date Issued
13 October 2019
Access level
metadata only access
Resource Type
conference paper
Author(s)
Grupo de Aplicaciones y Sistemas Embebidos
Publisher(s)
Association for Computing Machinery, Inc
Abstract
Due to the ever-increasing computational demand of automotive applications, and in particular autonomous driving capabilities, the automotive industry and its suppliers are starting to adopt parallel and heterogeneous embedded computing platforms. However, C and C++, the currently dominating programming languages in this industry, do not provide sufficient mechanisms to fully exploit such platforms. As a result, vendors have begun to employ true parallel programming models such as OpenMP, CUDA or OpenCL. In this work, we report on a benchmark suite developed specifically to investigate the applicability of established parallel programming models to automotive workloads on heterogeneous platforms.
Language
English
OCDE Knowledge area
Ingeniería de sistemas y comunicaciones
Informática y Ciencias de la Información
Scopus EID
2-s2.0-85077196938
ISBN
9781450369244
Conference
Proceedings of the International Conference on Embedded Software Companion, EMSOFT 2019
Sponsor(s)
This project was funded by VDA FAT as part of the research of AK31. The authors would also like to thank Xilinx for supporting this work by donations of hard-and software, as well as Renesas and Codeplay for their help with the acquisition of the V3M and the timely support for using their programming tools.
Sources of information:
Directorio de Producción Científica
Scopus