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Supporting Autonomous Vehicle Applications on the Heterogeneous System Architecture


Publication Type:

Conference/Workshop Paper


7th international Conference on the Engineering of Computer Based Systems



The contemporary processors are unable to meet the increasing data-intensive and computation-demanding requirements in autonomous vehicle software applications. Recently, the new Heterogeneous System Architecture (HSA) has emerged as a promising solution to meet these requirements. The HSA reduces the latency of data exchange between the compute units and cache-coherent shared memory, which is not supported by the non-HSA compliant heterogeneous platforms with acceleration support. The main goal of the paper is to investigate the performance gain by the HSA and conduct a comparative evaluation of the HSA and non-HSA compliant heterogeneous platforms. The paper aims at evaluating these platforms by using two computation-intensive software functions in autonomous vehicles, namely the object detection and vehicle movement. In order to achieve this goal, the CUDA-accelerated source code of the functions is ported from a non-HSA compliant heterogeneous platform to the HSA platform. In this regard, the paper presents the architecture of a proof-of-concept prototype and provides evaluation using the prototype.


author = {Nandinbaatar Tsog and Marielle Gallardo and Sweta Chakraborty and Torbj{\"o}rn Martinson and Alexandra Hengl and Magnus Moberg and Adem Sen and Mobyen Uddin Ahmed and Shahina Begum and Moris Behnam and Mikael Sj{\"o}din and Saad Mubeen},
title = {Supporting Autonomous Vehicle Applications on the Heterogeneous System Architecture},
isbn = {978-1-4503-9057-6/21/05},
month = {May},
year = {2021},
booktitle = {7th international Conference on the Engineering of Computer Based Systems},
url = {}