Fast and Accurate Prediction of the Steady-State Throughput of Multicore Processors Under Thermal Constraints

Rao, Ravishankar; Vrudhula, Sarma

doi:10.1109/tcad.2009.2026361

Cited by 27 publications

(24 citation statements)

References 33 publications

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“…We assume the power vector P is the sum of the power P d due to dynamic current and the power P l due to leakage current [18,21]. In 'active' and 'sleep' state P d is assumed to be constant, i.e., P a and P i , respectively.…”

Section: Thermal Modelmentioning

confidence: 99%

Minimizing Peak Temperature for Pipelined Hard Real-time Systems

Cheng

Huang

Chen

et al. 2016

Proceedings of the 2016 Design, Automation &Amp; Test in Europe Conference &Amp; Exhibition (DATE)

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Abstract-This paper addresses the problem of minimizing the peak temperature for pipelined multi-core systems under hard end-to-end deadline constraints by adversely using the PayBurst-Only-Once principle. The Periodic Thermal Management is adopted to control the temperature and every core is periodically switched between two power modes. With the peak temperature representation, we first formulate the problem of finding the thermal optimal periodic schemes which satisfies deadline constraints and then present a fast heuristic algorithm to solve it. Adopting real life processor platforms and applications, our simulation demonstrates that our approach reduces the peak temperature by up to 15 • C on the 4-stage ARM platform compared to sub-deadline partition approach. Moreover, our algorithm is shown to be scalable w.r.t. the number of pipelined stages and its effectiveness is validated by the brutally searching approach.

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Section: Thermal Modelmentioning

confidence: 99%

Minimizing Peak Temperature for Pipelined Hard Real-time Systems

Cheng

Huang

Chen

et al. 2016

Proceedings of the 2016 Design, Automation &Amp; Test in Europe Conference &Amp; Exhibition (DATE)

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“…The approaches proposed in [10,11], for example, are strictly restricted to monocore systems. The method described in [12] is restricted to homogeneous platforms and to applications in which the execution time of individual tasks is long, comparable with the thermal time constant of the package (in the order of 100 s).…”

Section: Introduction and Prior Workmentioning

confidence: 99%

Steady-state dynamic temperature analysis and reliability optimization for embedded multiprocessor systems

Ukhov

Bao

Eles

et al. 2012

Proceedings of the 49th Annual Design Automation Conference

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In this paper we propose an analytical technique for the steady-state dynamic temperature analysis (SSDTA) of multiprocessor systems with periodic applications. The approach is accurate and, moreover, fast, such that it can be included inside an optimization loop for embedded system design. Using the proposed solution, a temperature-aware reliability optimization, based on the thermal cycling failure mechanism, is presented. The experimental results confirm the quality and speed of our SSDTA technique, compared to the state of the art. They also show that the lifetime of an embedded system can significantly be improved, without sacrificing its energy efficiency, by taking into consideration, during the design stage, the steady-state dynamic temperature profile of the system.

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“…A similar temperature modeling approach, proposed in the work in [6], speeds up the thermal analysis through dynamic adaptation of the resolution. Some fast system level temperature analysis techniques are proposed, e.g., [7] and [8] which are efficient to be used inside the temperature aware system level optimization loop. Several temperature aware system level design approaches, e.g., [9] and [10], are proposed in which decisions are taken on-line, based on the actual chip temperature information.…”

Section: Introductionmentioning

confidence: 99%

On-line Temperature-Aware Idle Time Distribution for Leakage Energy Optimization

Bao

Alexandru

Eles

et al. 2011

2011 Sixth IEEE International Symposium on Electronic Design, Test and Application

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With new technologies, temperature has become an important issue to be considered at system level design. In this paper, we address the issue of leakage energy optimization through temperature aware idle time distribution (ITD). We propose an on-line ITD technique for leakage energy consumption minimization, where both static and dynamic idle time are considered. Experimental results have demonstrated that an important amount of leakage energy reduction can be achieved by applying our ITD techniques.

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Fast and Accurate Prediction of the Steady-State Throughput of Multicore Processors Under Thermal Constraints

Cited by 27 publications

References 33 publications

Minimizing Peak Temperature for Pipelined Hard Real-time Systems

Minimizing Peak Temperature for Pipelined Hard Real-time Systems

Steady-state dynamic temperature analysis and reliability optimization for embedded multiprocessor systems

On-line Temperature-Aware Idle Time Distribution for Leakage Energy Optimization

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