research-article

Brook auto: high-level certification-friendly programming for GPU-powered automotive systems

Authors:

Matina Maria Trompouki,

Leonidas KosmidisAuthors Info & Claims

DAC '18: Proceedings of the 55th Annual Design Automation Conference

Article No.: 100, Pages 1 - 6

https://doi.org/10.1145/3195970.3196002

Published: 24 June 2018 Publication History

Abstract

Modern automotive systems require increased performance to implement Advanced Driving Assistance Systems (ADAS). GPU-powered platforms are promising candidates for such computational tasks, however current low-level programming models challenge the accelerator software certification process, while they limit the hardware selection to a fraction of the available platforms. In this paper we present Brook Auto, a high-level programming language for automotive GPU systems which removes these limitations. We describe the challenges and solutions we faced in its implementation, as well as a complete evaluation in terms of performance and productivity, which shows the effectiveness of our method.

References

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AMD. 2009. AMD Brook+ Subversion Repository. (2009). https://sourceforge.net/projects/brookplus/.

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AMD. 2009. AMD Stream Computing SDK and Driver. (2009). http://developer.amd.com/wordpress/media/files/atistream_1.4.0_beta-lnx32.tgz.

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Motor Industry Software Reliability Association. 2013. MISRA-C-2012. Guidelines for the Use of the C Language in Critical Systems. MISRA, Warwickshire.

[4]

Ian Buck, Tim Foley, Daniel Horn, Jeremy Sugerman, Kayvon Fatahalian, Mike Houston, and Pat Hanrahan. 2004. Brook for GPUs: Stream Computing on Graphics Hardware. ACM Transactions on Graphics 23, 3 (2004), 777--786.

Digital Library

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Shuai Che, Michael Boyer, Jiayuan Meng, David Tarjan, Jeremy W. Sheaffer, Sang-Ha Lee, and Kevin Skadron. 2009. Rodinia: A Benchmark Suite for Heterogeneous Computing. In Proceedings of the 2009 IEEE International Symposium on Workload Characterization (IISWC '09). 44--54.

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Anthony Danalis, Gabriel Marin, Collin McCurdy, Jeremy S. Meredith, Philip C. Roth, Kyle Spafford, Vinod Tipparaju, and Jeffrey S. Vetter. 2010. The Scalable Heterogeneous Computing (SHOC) Benchmark Suite. In Proceedings of the 3rd Workshop on General-Purpose Computation on Graphics Processing Units (GPGPU-3). 63--74.

Digital Library

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Ian Buck et al. 2007. Brook Subversion Repository. (2007). https://sourceforge.net/projects/brook/.

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International Organization for Standardization. 2009. ISO/DIS 26262. Road Vehicles - Functional Safety.

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Khronos Group. 2009. OpenGL ES Common Profile Spec. V2.0.

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Aaron Lefohn, Mike Houston, Chas Boyd, Kayvon Fatahalian, Tom Forsyth, David Luebke, and John Owens. 2008. Beyond Programmable Shading: Fundamentals, Introduction to the AMD Stream SDK by Mike Houston. In ACM SIGGRAPH 2008 Classes (SIGGRAPH '08). Article 9, 9:1--9:21 pages.

Digital Library

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Leonidas Kosmidis, Matina Maria Trompouki et al. 2018. Brook Auto. (2018). http://github.com/lkosmid/brook.

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William R. Mark, R. Steven Glanville, Kurt Akeley, and Mark J. Kilgard. 2003. Cg: A System for Programming Graphics Hardware in a C-like Language. ACM Trans. Graph. 22, 3 (2003), 896--907.

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John A. Stratton, Christopher D A Rodrigues, I-Jui Sung, Nady Obeid, Li-Wen Chang, Nasser Anssari, Geng Liu, and Wen mei W. Hwu. 2012. Parboil: A Revised Benchmark Suite for Scientific and Commercial Throughput Computing. Technical Report IMPACT-12-01. University of Illinois at Urbana-Champaign.

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Matina Maria Trompouki and Leonidas Kosmidis. 2016. Towards General Purpose Computations on Low-end Mobile GPUs. In Proceedings of the 2016 Conference on Design, Automation & Test in Europe (DATE '16). 539--542.

Digital Library

[17]

Matina Maria Trompouki and Leonidas Kosmidis. 2017. Optimisation Opportunities and Evaluation for GPGPU applications on Low-End Mobile GPUs. In Proceedings of the Conference on Design, Automation & Test in Europe (DATE '17). 950--953.

Digital Library

Cited By

Pujol RJorba JTabani HKosmidis LMezzetti EAbella JCazorla F(2023)Vector Extensions in COTS Processors to Increase Guaranteed Performance in Real-Time SystemsACM Transactions on Embedded Computing Systems10.1145/356105422:2(1-26)Online publication date: 24-Jan-2023
https://dl.acm.org/doi/10.1145/3561054
Guerrero-Balaguera JCondia JReorda M(2023)STLs for GPUs: Using High-Level Language ApproachesIEEE Design & Test10.1109/MDAT.2023.326760140:4(51-60)Online publication date: Aug-2023
https://doi.org/10.1109/MDAT.2023.3267601
Perez-Cerrolaza JAbella JKosmidis LCalderon ACazorla FFlores J(2022)GPU Devices for Safety-Critical Systems: A SurveyACM Computing Surveys10.1145/354952655:7(1-37)Online publication date: 15-Dec-2022
https://dl.acm.org/doi/10.1145/3549526
Show More Cited By

Index Terms

Brook auto: high-level certification-friendly programming for GPU-powered automotive systems
1. Computer systems organization
  1. Architectures
    1. Other architectures
      1. Heterogeneous (hybrid) systems
  2. Embedded and cyber-physical systems
    1. Embedded systems
      1. Embedded software
2. Computing methodologies
  1. Computer graphics
    1. Graphics systems and interfaces
      1. Graphics processors
  2. Parallel computing methodologies
    1. Parallel programming languages

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Published In

cover image ACM Conferences

DAC '18: Proceedings of the 55th Annual Design Automation Conference

June 2018

1089 pages

ISBN:9781450357005

DOI:10.1145/3195970

Copyright © 2018 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

EDAC: Electronic Design Automation Consortium
SIGDA: ACM Special Interest Group on Design Automation
IEEE Council on Electronic Design Automation (CEDA)

In-Cooperation

SIGBED: ACM Special Interest Group on Embedded Systems

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 June 2018

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Ministerio de Ciencia e Innovación
HiPEAC Network of Excellence

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DAC '18

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EDAC
SIGDA

DAC '18: The 55th Annual Design Automation Conference 2018

June 24 - 29, 2018

California, San Francisco

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Overall Acceptance Rate 1,770 of 5,499 submissions, 32%

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DAC '25

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62nd ACM/IEEE Design Automation Conference

June 22 - 26, 2025

San Francisco , CA , USA

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Citations

Cited By

Pujol RJorba JTabani HKosmidis LMezzetti EAbella JCazorla F(2023)Vector Extensions in COTS Processors to Increase Guaranteed Performance in Real-Time SystemsACM Transactions on Embedded Computing Systems10.1145/356105422:2(1-26)Online publication date: 24-Jan-2023
https://dl.acm.org/doi/10.1145/3561054
Guerrero-Balaguera JCondia JReorda M(2023)STLs for GPUs: Using High-Level Language ApproachesIEEE Design & Test10.1109/MDAT.2023.326760140:4(51-60)Online publication date: Aug-2023
https://doi.org/10.1109/MDAT.2023.3267601
Perez-Cerrolaza JAbella JKosmidis LCalderon ACazorla FFlores J(2022)GPU Devices for Safety-Critical Systems: A SurveyACM Computing Surveys10.1145/354952655:7(1-37)Online publication date: 15-Dec-2022
https://dl.acm.org/doi/10.1145/3549526
Guerrero-Balaguera JRodriguez Condia JReorda M(2022)A New Method to Generate Software Test Libraries for In-Field GPU Testing Resorting to High-Level Languages2022 IEEE 40th VLSI Test Symposium (VTS)10.1109/VTS52500.2021.9794225(1-7)Online publication date: 25-Apr-2022
https://doi.org/10.1109/VTS52500.2021.9794225
Benito MTrompouki MKosmidis LGarcia JCarretero SWenger K(2021)Comparison of GPU Computing Methodologies for Safety-Critical Systems: An Avionics Case Study2021 Design, Automation & Test in Europe Conference & Exhibition (DATE)10.23919/DATE51398.2021.9474060(717-718)Online publication date: 1-Feb-2021
https://doi.org/10.23919/DATE51398.2021.9474060
Maria Trompouki MKosmidis L(2021)DO-178C Certification of General-Purpose GPU Software: Review of Existing Methods and Future Directions2021 IEEE/AIAA 40th Digital Avionics Systems Conference (DASC)10.1109/DASC52595.2021.9594412(1-9)Online publication date: 3-Oct-2021
https://doi.org/10.1109/DASC52595.2021.9594412
Tabani HKosmidis LAbella JCazorla FBernat G(2019)Assessing the Adherence of an Industrial Autonomous Driving Framework to ISO 26262 Software GuidelinesProceedings of the 56th Annual Design Automation Conference 201910.1145/3316781.3317779(1-6)Online publication date: 2-Jun-2019
https://dl.acm.org/doi/10.1145/3316781.3317779
Trompouki MKosmidis L(2019)BRASIL: A High-Integrity GPGPU Toolchain for Automotive Systems2019 IEEE 37th International Conference on Computer Design (ICCD)10.1109/ICCD46524.2019.00094(660-663)Online publication date: Nov-2019
https://doi.org/10.1109/ICCD46524.2019.00094
Kosmidis LLachaize JAbella JNotebaert OCazorla FSteenari D(2019)GPU4S: Embedded GPUs in Space2019 22nd Euromicro Conference on Digital System Design (DSD)10.1109/DSD.2019.00064(399-405)Online publication date: Aug-2019
https://doi.org/10.1109/DSD.2019.00064
Saidi SSteinhorst SHamann AZiegenbein DWolf MShrivastava APasricha S(2018)Future automotive systems design: research challenges and opportunitiesProceedings of the International Conference on Hardware/Software Codesign and System Synthesis10.5555/3283568.3283570(1-7)Online publication date: 30-Sep-2018
https://dl.acm.org/doi/10.5555/3283568.3283570
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