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Supporting Autonomous Vehicle Applications on the Heterogeneous System Architecture
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0001-8096-3891
Volvo Autonomous Solutions, Sweden.
Mälardalen University.
Volvo Autonomous Solutions, Sweden.
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2021 (English)In: ACM International Conference Proceeding Series, Association for Computing Machinery , 2021Conference paper, Published paper (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
Association for Computing Machinery , 2021.
Keywords [en]
CNN, code migration, convolutional neural network, CuDNN., Heterogeneous System Architecture, HIP, HSA, MIOpen, OpenCL, parallel computing architectures, Application programs, Electronic data interchange, Function evaluation, Memory architecture, Object detection, Comparative evaluations, Computation intensives, Heterogeneous platforms, Heterogeneous systems, Software applications, Software functions, Vehicle applications, Vehicle movements, Autonomous vehicles
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:mdh:diva-58800DOI: 10.1145/3459960.3459970Scopus ID: 2-s2.0-85107176588ISBN: 9781450390576 (print)OAI: oai:DiVA.org:mdh-58800DiVA, id: diva2:1682996
Conference
7th Conference on the Engineering of Computer Based Systems, ECBS 2021, 26 May 2021 through 27 May 2021
Note

Conference code: 169185; Export Date: 8 June 2022; Conference Paper; Funding details: VINNOVA; Funding details: Stiftelsen för Kunskaps- och Kompetensutveckling, KKS; Funding text 1: The work in this paper is supported by the Swedish Knowledge Foundation (KKS) via the DPAC project and by the Swedish Governmental Agency for Innovation Systems (VINNOVA) via the DESTINE and PROVIDENT projects. We thank our industrial partners, especially Volvo Construction Equipment for their valuable input to this work.

Available from: 2022-07-13 Created: 2022-07-13 Last updated: 2022-11-25Bibliographically approved

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Tsog, NandinbaatarBehnam, MorisSjödin, MikaelMubeen, Saad

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Tsog, NandinbaatarChakraborty, SwetaHengl, AlexandraSen, AdemBehnam, MorisSjödin, MikaelMubeen, Saad
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