A run-time distributed cooperative approach to optimize power consumption in MPSoCs

Mansouri, Imen; Clermidy, Fabien; Benoit, Pascal; Torres, Lionel

doi:10.1109/socc.2010.5784664

Cited by 5 publications

(3 citation statements)

References 16 publications

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“…However, consensus aims at distributing the decision between different actors but does not focus on an optimal decision. Similarly to Johansson et al [9], we propose to combine the consensus formalism with a sub-gradient method [10]. Consensus will ensure convergence in a distributed manner, while sub-gradient will push the system towards an optimum Fig.…”

Section: Consensus Techniquementioning

confidence: 99%

See 1 more Smart Citation

Sustainability through massively integrated computing: Are we ready to break the energy efficiency wall for single-chip platforms?

Pande¹,

Clermidy²,

Puschini³

et al. 2011

2011 Design, Automation &Amp; Test in Europe

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-While traditional cluster computers are more constrained by power and cooling costs for solving extreme-scale (or exascale) problems, the continuing progress and integration levels in silicon technologies make possible complete end-user systems on a single chip. This massive level of integration makes modern multicore chips all pervasive in domains ranging from climate forecasting and astronomical data analysis, to consumer electronics, smart phones, and biological applications. Consequently, designing multicore chips for exascale computing while using the embedded systems design principles looks like a promising alternative to traditional clusterbased solutions. This paper aims to present an overview of new, farreaching design methodologies and run-time optimization techniques that can help breaking the energy efficiency wall in massively integrated single-chip computing platforms.

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Section: Consensus Techniquementioning

confidence: 99%

“…Details on the formalisms can be found in [11] for the game-theoretic approach and in [10] for consensus-based approach.…”

Section: Application To Power Optimization Of Real-time Systemsmentioning

confidence: 99%

Sustainability through massively integrated computing: Are we ready to break the energy efficiency wall for single-chip platforms?

Pande¹,

Clermidy²,

Puschini³

et al. 2011

2011 Design, Automation &Amp; Test in Europe

View full text Add to dashboard Cite

show abstract

“…Mansouri et. al [9] used consensus information with the objective of optimizing power in a decentralized processors network.…”

Section: Related Workmentioning

confidence: 99%

A Self-Configuring TMR Scheme Utilizing Discrepancy Resolution

Imran

DeMara

2011

2011 International Conference on Reconfigurable Computing and FPGAs

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We employ output-discrepancy consensus to mitigate faulty modules of a Triple Modular Redundant (TMR) arrangement using dynamic partial reconfiguration. Traditionally, the fault-handling resilience of a TMR arrangement is limited to fault(s) in a single TMR instance over the entire mission duration. An additional permanent fault in any of two other TMR instances results in mission's failure. However, in this work, a novel Self-Configuring approach for Discrepancy Resolution (SCDR) is developed and assessed. In SCDR, the occurrence of faults in more than one module initiates the repair mechanism, then upon fault recovery, the system is configured into Concurrent Error Detection (CED) mode. The approach is validated by the complete recovery of a TMR realization of 25 stage Finite Impulse Response (FIR) filter implemented on a reconfigurable platform as a case study. The results show that a self-healing circuit can be realized exploiting the dynamic partial reconfiguration capability of FPGAs while requiring a streamlined operational datapath compared to TMR.

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Impact of Cache Voltage Scaling on Energy-Time Pareto Frontier in Multicore Systems

Hajiamini

Shirazi

Crandall

et al. 2018

Sustainable Computing: Informatics and Systems

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A run-time distributed cooperative approach to optimize power consumption in MPSoCs

Cited by 5 publications

References 16 publications

Sustainability through massively integrated computing: Are we ready to break the energy efficiency wall for single-chip platforms?

Sustainability through massively integrated computing: Are we ready to break the energy efficiency wall for single-chip platforms?

A Self-Configuring TMR Scheme Utilizing Discrepancy Resolution

Impact of Cache Voltage Scaling on Energy-Time Pareto Frontier in Multicore Systems

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