Hardware Variability-Aware Duty Cycling for Embedded Sensors

Wanner, Lucas; Apte, Charwak; Balani, Rahul; Gupta, Puneet; Srivastava, Mani

doi:10.1109/tvlsi.2012.2203325

Cited by 19 publications

(22 citation statements)

References 38 publications

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“…In previous work [6], we measured and characterized instance and temperaturedependent power consumption for the Atmel SAM3U, a contemporary embedded processor based on an ARM Cortex M3 core, and discussed the implications of this variation to system lifetime and potential software adaptation. Fig.…”

Section: A Power Variability In Contemporary Embedded Processorsmentioning

confidence: 99%

“…Most of the temperature-dependent variation 1 All temperature experiments were conducted in a controlled temperature chamber. Further details can be found in [6] observed is likely due to variation in short-circuit power at lower temperatures and leakage component of active power at higher temperatures.…”

Section: A Power Variability In Contemporary Embedded Processorsmentioning

confidence: 99%

“…Erroneous operation may rely upon application's level of tolerance to limited errors (as in [18]- [20] to ensure continued operation. In contrast, error-free UnO machines correct all errors (e.g., [13]) or operate hardware within correct-operation limits (e.g., [6], [21] ). Furthermore, for erroneous systems, the exact error characteristics may or may not be known.…”

Section: Uno Computing Machinesmentioning

confidence: 99%

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Underdesigned and Opportunistic Computing in Presence of Hardware Variability

Gupta

Agarwal

Dolecek

et al. 2013

IEEE Trans. Comput.-Aided Des. Integr. Circuits Syst.

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138

116

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Abstract-Microelectronic circuits exhibit increasing variations in performance, power consumption, and reliability parameters across the manufactured parts and across use of these parts over time in the field. These variations have led to increasing use of overdesign and guardbands in design and test to ensure yield and reliability with respect to a rigid set of datasheet specifications. This paper explores the possibility of constructing computing machines that purposely expose hardware variations to various layers of the system stack including software. This leads to the vision of underdesigned hardware that utilizes a software stack that opportunistically adapts to a sensed or modeled hardware. The envisioned underdesigned and opportunistic computing (UnO) machines face a number of challenges related to the sensing infrastructure and software interfaces that can effectively utilize the sensory data. In this paper, we outline specific sensing mechanisms that we have developed and their potential use in building UnO machines.

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Section: A Power Variability In Contemporary Embedded Processorsmentioning

confidence: 99%

Section: A Power Variability In Contemporary Embedded Processorsmentioning

confidence: 99%

Section: Uno Computing Machinesmentioning

confidence: 99%

See 1 more Smart Citation

Underdesigned and Opportunistic Computing in Presence of Hardware Variability

Gupta

Agarwal

Dolecek

et al. 2013

IEEE Trans. Comput.-Aided Des. Integr. Circuits Syst.

Self Cite

138

116

View full text Add to dashboard Cite

show abstract

“…We calculate the curve fitting parameters similar to the power model discussed in [133,132] shown in Table I 4.0(a) and parameters from HotSpot-5.02 [149] shown in Table I Table I 4.0(a)) based on [24,168]. The ambient temperature is T amb = 30…”

Section: Methodsmentioning

confidence: 99%

“…• C change in temperature [168]), and this contributes to completion variation. Moreover, extensive resource sharing on multi-core platforms makes real-time system designs more complicated and indeterministic.…”

Section: Real-time Multi-core Systems Under Uncertaintymentioning

confidence: 99%

On the Design of Real-Time Systems on Multi-Core Platforms under Uncertainty

Wang¹

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To ensure timing constraints, traditional real-time system designs usually adopt a worst-case based deterministic approach. However, such an approach is becoming out of sync with the continuous evolution of IC technology and increased complexity of real-time applications. As IC technology continues to evolve into the deep submicron domain, process variation causes processor performance to vary from die to die, chip to chip, and even core to core. The extensive resource sharing on multicore platforms also significantly increases the uncertainty when executing real-time tasks. The traditional approach can only lead to extremely pessimistic, and thus, unpractical design of real-time systems.Our research seeks to address the uncertainty problem when designing real-time systems on multi-core platforms. We first attacked the uncertainty problem caused by process variation. We proposed a virtualization framework and developed techniques to optimize the system's performance under process variation. We further studied the problem on peak temperature minimization for real-time applications on multi-core platforms. Three heuristics were developed to reduce the peak temperature for real-time systems. Next, we sought to address the uncertainty problem vi in real-time task execution times by developing statistical real-time scheduling techniques. We studied the problem of fixed-priority real-time scheduling of implicit periodic tasks with probabilistic execution times on multi-core platforms. We further extended our research for tasks with explicit deadlines. We introduced the concept of harmonic to a more general task set, i.e. tasks with explicit deadlines, and developed new task partitioning techniques. Throughout our research, we have conducted extensive simulations to study the effectiveness and efficiency of our developed techniques.The increasing process variation and the ever-increasing scale and complexity of real-time systems both demand a paradigm shift in the design of real-time applications. Effectively dealing with the uncertainty in design of real-time applications is a challenging but also critical problem. Our research is such an effort in this endeavor, and we conclude this dissertation with discussions of potential future work.

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