Energy-efficient task allocation and scheduling for multi-mode MPSoCs under lifetime reliability constraint

Huang, Lin; Xu, Qiang

doi:10.1109/date.2010.5457063

Cited by 24 publications

(36 citation statements)

References 20 publications

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“…A multi-mode approach has also been used to achieve efficient use of resources; for instance, dynamic resource allocation techniques, such as adaptive servers [1], [2], [8], [9], have been developed for this purpose. Similarly, energy-efficient task allocation techniques that consider mode execution patterns have been proposed (e.g., [12], [13], [23]). …”

Section: Related Workmentioning

confidence: 99%

Towards a Compositional Multi-modal Framework for Adaptive Cyber-physical Systems

Phan

Lee

2011

2011 IEEE 17th International Conference on Embedded and Real-Time Computing Systems and Applications

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Abstract-Among the key characteristics of cyber-physical systems are the ability to adapt to changes during operation, the multidimensional complexity of multi-functionality and the underlying heterogeneous distributed architecture, as well as resource use efficiency. In this paper, we propose a compositional multi-modal approach to modeling, analyzing, and designing such systems. We introduce a general framework for modeling and compositional analysis of multi-mode systems on a distributed architecture that facilitates adaptivity, efficient use of resources, and incremental integration. We present some preliminary results, and we describe some of the remaining challenges and future directions.

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Section: Related Workmentioning

confidence: 99%

Towards a Compositional Multi-modal Framework for Adaptive Cyber-physical Systems

Phan

Lee

2011

2011 IEEE 17th International Conference on Embedded and Real-Time Computing Systems and Applications

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“…From this specification, we have generated four test-cases which are summarized in Table I. As in [1], [8], we have assigned each mode with an execution probability, giving the probability that the system is in the corresponding mode. The presented approach is implemented using the publicly available meta-heuristic framework OPT4J [21] and the DSE tool from [19].…”

Section: A Case Studymentioning

confidence: 99%

“…They either have to drop infeasible solutions [8] or they have to apply repair mechanisms and penalty strategies [1]. Especially in the case of stringent constraints, as given when performing partial reconfiguration, they spent a huge amount of the computation time dealing with infeasible solutions, instead of advancing in the optimization process.…”

Section: Introductionmentioning

confidence: 99%

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Symbolic design space exploration for multi-mode reconfigurable systems

Wildermann

Reimann

Ziener

et al. 2011

Proceedings of the Seventh IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis

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Abstract-In today's complex embedded systems not all applications are running all the time, but depend on the operational mode. By incorporating knowledge about the temporal behavior of such multi-mode systems, it is possible to share hardware by means of partial reconfiguration, and thus, reduce costs and improve performance. In this paper, we specify the temporal behavior of the functionality by applying known models based on state machines. In addition, we introduce an architectural model that allows to express the characteristics of nowadays partially reconfigurable architectures, focusing on FPGAs. We develop a symbolic encoding of this novel system specification, which allows to perform a unified system synthesis for allocation, binding, placement of partially reconfigurable modules, and routing the on-chip communication. The proposed encoding enables the use of sophisticated optimization techniques, coupling a SAT solver with a Multi-objective Evolutionary Algorithm. The proposed methodology is highly applicable for building multi-mode systems on advanced reconfigurable technology. We demonstrate this by experiments on test-cases from the image processing domain applying state-of-the-art technology. The results show the superiority of the presented approach in terms of run-time and quality of the found solutions compared to existing system synthesis approaches.

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“…Recently, lifetime reliability of multicore processors is increasing in importance as a goal of task scheduling [1]. A whole multicore processor can be made obsolete due to one core which dies earlier than the others, thus task scheduling methods must take cores' lifetimes into account.…”

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confidence: 99%

Recovery-enhancing task scheduling for multicore processors under NBTI impact

Hong

Lim

Kang

2014

IEICE Electron. Express

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Task scheduling for multicore processors typically has aimed at higher throughput and lower power consumption, but the lifetime reliability may be harmed if negative bias temperature instability is not considered together. In this letter, a task scheduling which extends lifetime is proposed. Cores are given the chance to recover as long as performance is not degraded. The degradation simulator shows that the proposed scheduling improves the lifetime of a multicore processor by up to 36% over the existing task scheduling.

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Energy-efficient task allocation and scheduling for multi-mode MPSoCs under lifetime reliability constraint

Abstract: In this paper, we consider energy minimization for multiprocessor system-on-a-chip (MPSoC)

Cited by 24 publications

References 20 publications

Towards a Compositional Multi-modal Framework for Adaptive Cyber-physical Systems

Towards a Compositional Multi-modal Framework for Adaptive Cyber-physical Systems

Symbolic design space exploration for multi-mode reconfigurable systems

Recovery-enhancing task scheduling for multicore processors under NBTI impact

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