You are required to read and agree to the below before accessing a full-text version of an article in the IDE article repository.

The full-text document you are about to access is subject to national and international copyright laws. In most cases (but not necessarily all) the consequence is that personal use is allowed given that the copyright owner is duly acknowledged and respected. All other use (typically) require an explicit permission (often in writing) by the copyright owner.

For the reports in this repository we specifically note that

  • the use of articles under IEEE copyright is governed by the IEEE copyright policy (available at http://www.ieee.org/web/publications/rights/copyrightpolicy.html)
  • the use of articles under ACM copyright is governed by the ACM copyright policy (available at http://www.acm.org/pubs/copyright_policy/)
  • technical reports and other articles issued by M‰lardalen University is free for personal use. For other use, the explicit consent of the authors is required
  • in other cases, please contact the copyright owner for detailed information

By accepting I agree to acknowledge and respect the rights of the copyright owner of the document I am about to access.

If you are in doubt, feel free to contact webmaster@ide.mdh.se

Supporting Autonomous Vehicle Applications on the Heterogeneous System Architecture

Fulltext:


Publication Type:

Conference/Workshop Paper

Venue:

7th international Conference on the Engineering of Computer Based Systems

DOI:

https://doi.org/10.1145/3459960.3459970


Abstract

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.

Bibtex

@inproceedings{Tsog6233,
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 = {http://www.es.mdh.se/publications/6233-}
}