research-article

On the convergence of mainstream and mission-critical markets

Authors:

Francisco J. Cazorla,

Sami YehiaAuthors Info & Claims

DAC '13: Proceedings of the 50th Annual Design Automation Conference

Article No.: 185, Pages 1 - 10

https://doi.org/10.1145/2463209.2488962

Published: 29 May 2013 Publication History

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Abstract

The computing market has been dominated during the last two decades by the well-known convergence of the high-performance computing market and the mobile market. In this paper we witness a new type of convergence between the mission-critical market (such as avionic or automotive) and the mainstream consumer electronics market. Such convergence is fuelled by the common needs of both markets for more reliability, support for mission-critical functionalities and the challenge of harnessing the unsustainable increases in safety margins to guarantee either correctness or timing. In this position paper, we present a description of this new convergence, as well as the main challenges and opportunities that it brings to computing industry.

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Cited By

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Carbonelli CFelderer MJung MLobe ELochau MLuber SMauerer WRamler RSchaefer ISchroth C(2024)Challenges for Quantum Software Engineering: An Industrial Application Scenario PerspectiveQuantum Software10.1007/978-3-031-64136-7_12(311-335)Online publication date: 23-Aug-2024
https://doi.org/10.1007/978-3-031-64136-7_12
Jung MMcKee SSudarshan CDropmann CWeis CWehn NJacob B(2018)Driving into the memory wallProceedings of the International Symposium on Memory Systems10.1145/3240302.3240322(377-386)Online publication date: 1-Oct-2018
https://dl.acm.org/doi/10.1145/3240302.3240322
Mo LKritikakou ASentieys O(2018)Energy-Quality-Time Optimized Task Mapping on DVFS-Enabled MulticoresIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems10.1109/TCAD.2018.285730037:11(2428-2439)Online publication date: Nov-2018
https://doi.org/10.1109/TCAD.2018.2857300
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Index Terms

On the convergence of mainstream and mission-critical markets
1. General and reference
  1. Cross-computing tools and techniques
    1. Metrics
2. Hardware
  1. Robustness

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Published In

DAC '13: Proceedings of the 50th Annual Design Automation Conference

May 2013

1285 pages

ISBN:9781450320719

DOI:10.1145/2463209

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]

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SIGBED: ACM Special Interest Group on Embedded Systems

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Association for Computing Machinery

New York, NY, United States

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Published: 29 May 2013

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DAC '13: The 50th Annual Design Automation Conference 2013

May 29 - June 7, 2013

Texas, Austin

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

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Carbonelli CFelderer MJung MLobe ELochau MLuber SMauerer WRamler RSchaefer ISchroth C(2024)Challenges for Quantum Software Engineering: An Industrial Application Scenario PerspectiveQuantum Software10.1007/978-3-031-64136-7_12(311-335)Online publication date: 23-Aug-2024
https://doi.org/10.1007/978-3-031-64136-7_12
Jung MMcKee SSudarshan CDropmann CWeis CWehn NJacob B(2018)Driving into the memory wallProceedings of the International Symposium on Memory Systems10.1145/3240302.3240322(377-386)Online publication date: 1-Oct-2018
https://dl.acm.org/doi/10.1145/3240302.3240322
Mo LKritikakou ASentieys O(2018)Energy-Quality-Time Optimized Task Mapping on DVFS-Enabled MulticoresIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems10.1109/TCAD.2018.285730037:11(2428-2439)Online publication date: Nov-2018
https://doi.org/10.1109/TCAD.2018.2857300
Fernandez GCazorla FAbella JGirbal S(2018)Assessing Time Predictability Features of ARM Big. LITTLE Multicores2018 30th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD)10.1109/CAHPC.2018.8645925(258-261)Online publication date: Sep-2018
https://doi.org/10.1109/CAHPC.2018.8645925
Albano MBarbosa PSilva JDuarte RFerreira LDelsing J(2017)Quality of service on the arrowhead framework2017 IEEE 13th International Workshop on Factory Communication Systems (WFCS)10.1109/WFCS.2017.7991959(1-8)Online publication date: May-2017
https://doi.org/10.1109/WFCS.2017.7991959
Shuja JGani ABilal KKhan AMadani SKhan SZomaya A(2016)A Survey of Mobile Device VirtualizationACM Computing Surveys10.1145/289716449:1(1-36)Online publication date: 5-Apr-2016
https://dl.acm.org/doi/10.1145/2897164
Ferreira LAlbano MDelsing J(2016)QoS-as-a-Service in the local cloud2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA)10.1109/ETFA.2016.7733699(1-8)Online publication date: Sep-2016
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Mushtaq HAl-Ars ZBertels K(2013)Fault tolerance on multicore processors using deterministic multithreading2013 8th IEEE Design and Test Symposium10.1109/IDT.2013.6727107(1-6)Online publication date: Dec-2013
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Mushtaq HAl-Ars ZBertels K(2013)Accurate and efficient identification of worst-case execution time for multicore processors: A survey2013 8th IEEE Design and Test Symposium10.1109/IDT.2013.6727080(1-6)Online publication date: Dec-2013
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