research-article

Conquering MPSoC complexity with principles of a self-aware information processing factory

Authors:

Fadi J. Kurdahi,

Andreas HerkersdorfAuthors Info & Claims

CODES '16: Proceedings of the Eleventh IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis

Article No.: 37, Pages 1 - 4

https://doi.org/10.1145/2968456.2973275

Published: 01 October 2016 Publication History

Abstract

We introduce the idea of an Information Processing Factory as a step towards autonomous many-core platforms in Cyber-Physical Systems (CPS) and the Internet of Things (IoT). It represents a paradigm shift in platform design moving long term, with robust and independent platform operation in the focus of platform-centric design rather than existing semiconductor device or software technology, as mostly seen today. Such a refocus is not only needed to prepare for the time when technology scaling comes to an end, but is a necessity to manage complexity when networked IT systems not only by far outnumber humans but when their complexity by far exceeds that of human societies. While such applications complexity growth is visible to large parts of the society, and is publicly discussed, it is important to note that the complexity growth equally affects the platforms (computers, communication, storage, etc.) which enable such growing applications. This challenge is partly addressed by the new areas of Cyber-Physical Systems and the Internet-of-Things, but the changing challenges to the operation of complex microelectronic systems is mostly left to computer and software architects, and to semiconductor technology. This perspective paper motivates the necessity for a paradigm shift in IT system design and its application to autonomous systems as a main application.

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Cited By

Gonzalez-Martinez GSandoval-Arechiga RSolis-Sanchez LGarcia-Luciano LIbarra-Delgado SSolis-Escobedo JGomez-Rodriguez JRodriguez-Abdala V(2024)A Survey of MPSoC Management toward Self-AwarenessMicromachines10.3390/mi1505057715:5(577)Online publication date: 26-Apr-2024
https://doi.org/10.3390/mi15050577
Esterle LDutt NGruhl CLewis PMarcenaro LRegazzoni CJantsch A(2023)Self-awareness in Cyber-Physical Systems: Recent Developments and Open Challenges2023 Design, Automation & Test in Europe Conference & Exhibition (DATE)10.23919/DATE56975.2023.10137197(1-6)Online publication date: Apr-2023
https://doi.org/10.23919/DATE56975.2023.10137197
Sperling NBendrick AStöhrmann DErnst RDonyanavard BMaurer FLenke OSurhonne AHerkersdorf AAmer Wde Melo CChen PHoang QKarami RMaity BNikolian PRakka MSeo DYi SSeo MDutt NKurdahi F(2023)Information Processing Factory 2.0 - Self-awareness for Autonomous Collaborative Systems2023 Design, Automation & Test in Europe Conference & Exhibition (DATE)10.23919/DATE56975.2023.10137006(1-6)Online publication date: Apr-2023
https://doi.org/10.23919/DATE56975.2023.10137006
Show More Cited By

Index Terms

Conquering MPSoC complexity with principles of a self-aware information processing factory
1. Computer systems organization
  1. Dependable and fault-tolerant systems and networks
  2. Embedded and cyber-physical systems

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CODES '16: Proceedings of the Eleventh IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis

October 2016

294 pages

ISBN:9781450344838

DOI:10.1145/2968456

Copyright © 2016 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]

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Published: 01 October 2016

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ESWEEK'16

ESWEEK'16: TWELFTH EMBEDDED SYSTEM WEEK

October 1 - 7, 2016

Pennsylvania, Pittsburgh

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Cited By

Gonzalez-Martinez GSandoval-Arechiga RSolis-Sanchez LGarcia-Luciano LIbarra-Delgado SSolis-Escobedo JGomez-Rodriguez JRodriguez-Abdala V(2024)A Survey of MPSoC Management toward Self-AwarenessMicromachines10.3390/mi1505057715:5(577)Online publication date: 26-Apr-2024
https://doi.org/10.3390/mi15050577
Esterle LDutt NGruhl CLewis PMarcenaro LRegazzoni CJantsch A(2023)Self-awareness in Cyber-Physical Systems: Recent Developments and Open Challenges2023 Design, Automation & Test in Europe Conference & Exhibition (DATE)10.23919/DATE56975.2023.10137197(1-6)Online publication date: Apr-2023
https://doi.org/10.23919/DATE56975.2023.10137197
Sperling NBendrick AStöhrmann DErnst RDonyanavard BMaurer FLenke OSurhonne AHerkersdorf AAmer Wde Melo CChen PHoang QKarami RMaity BNikolian PRakka MSeo DYi SSeo MDutt NKurdahi F(2023)Information Processing Factory 2.0 - Self-awareness for Autonomous Collaborative Systems2023 Design, Automation & Test in Europe Conference & Exhibition (DATE)10.23919/DATE56975.2023.10137006(1-6)Online publication date: Apr-2023
https://doi.org/10.23919/DATE56975.2023.10137006
Amer WRakka MKarami RSeo MSaghir MKanj RKurdahi F(2023)Hardware Implementation and Evaluation of an Information Processing Factory2023 IFIP/IEEE 31st International Conference on Very Large Scale Integration (VLSI-SoC)10.1109/VLSI-SoC57769.2023.10321939(1-6)Online publication date: 16-Oct-2023
https://doi.org/10.1109/VLSI-SoC57769.2023.10321939
Zyla KMaurer FWild THerkersdorf A(2023)CoLeCTs: Cooperative Learning Classifier Tables for Resource Management in MPSoCsArchitecture of Computing Systems10.1007/978-3-031-42785-5_15(215-229)Online publication date: 26-Aug-2023
https://doi.org/10.1007/978-3-031-42785-5_15
Rambo EDonyanavard BSeo MMaurer FKadeed Tde Melo CMaity BSurhonne AHerkersdorf AKurdahi FDutt NErnst R(2022)The Self-Aware Information Processing Factory Paradigm for Mixed-Critical MultiprocessingIEEE Transactions on Emerging Topics in Computing10.1109/TETC.2020.301166310:1(250-266)Online publication date: 1-Jan-2022
https://doi.org/10.1109/TETC.2020.3011663
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