Dynamic NBTI Management Using a 45 nm Multi-Degradation Sensor

Singh, Prashant; Karl, Eric; Sylvester, Dennis; Blaauw, David

doi:10.1109/tcsi.2011.2163894

Cited by 34 publications

(36 citation statements)

References 30 publications

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“…Such structures are inserted (in a sparse manner) to capture hardware characteristics of interest. Several examples exist in the literature to monitor various circuit characteristics (e.g., achievable frequency [23], leakage power [24], or aging [25]). The challenge is to minimize the overheads introduced by the monitoring circuits; these overheads take the form of area, delay, and/or power, as well as design complexity while retaining accuracy.…”

Section: B Runtime Sensing Methodsmentioning

confidence: 99%

“…One area of recent work in monitors that could be employed in UnO machines are aging sensors that estimate or measure the degree of aging (for different mechanisms, such as negative bias temperature instability, NBTI, or oxide degradation for example) that a particular chip has experienced. One design was presented in [25], where a unified NBTI and gateoxide wear-out sensor was demonstrated in a 45 nm CMOS technology. With a very small area, sprinkling hundreds or even thousands of such sensors throughout a design becomes feasible, providing a fairly reliable indication of system expected lifetime.…”

Section: B Runtime Sensing Methodsmentioning

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

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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: B Runtime Sensing Methodsmentioning

confidence: 99%

Section: B Runtime Sensing Methodsmentioning

confidence: 99%

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

“…Traditional post-silicon reactive dynamic NBTI management techniques typically employ NBTI sensors [28], [29], that provide ΔVth measurement with 3σ accuracy of 1.23 mV for a wide range of temperatures. However, these sensors incur area as well as power overheads.…”

Section: Virtual Sensingmentioning

confidence: 99%

ARGO: Aging-aware GPGPU register file allocation

Namaki-Shoushtari¹,

Rahimi²,

Dutt³

et al. 2013

2013 International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS)

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State-of-the-art general-purpose graphic processing units (GPGPUs) implemented in nanoscale CMOS technologies offer very high computational throughput for highly-parallel applications using hundreds of integrated on-chip resources. These resources are stressed during application execution, subjecting them to degradation mechanisms such as negative bias temperature instability (NBTI) that adversely affect their reliability. To support highly parallel execution, GPGPUs contain large register files (RFs) that are among the most highly stressed GPGPU components; however we observe heavy underutilization of RFs (on average only 46%) for typical general-purpose kernels. We present ARGO, an Aging-awaRe GPGPU RF allOcator that opportunistically exploits this RF underutilization by distributing the stress throughout RF. ARGO achieves proper leveling of RF banks through deliberated power-gating of stressful banks. We demonstrate our technique on the AMD Evergreen GPGPU architecture and show that ARGO improves the NBTI-induced threshold voltage degradation by up to 43% (on average 27%), that yields improving RFs static noise margin up to 46% (on average 30%). Furthermore, we estimate a simultaneous reduction in leakage power of 54% by providing sleep states for unused banks.

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“…Recent work also presents sensors for monitoring degradation [13], and embeds them in prototypes [14], [17].…”

Section: Introductionmentioning

confidence: 99%

A Linux-governor based Dynamic Reliability Manager for android mobile devices

Mercati¹,

Bartolini²,

Paterna³

et al. 2014

Design, Automation &Amp; Test in Europe Conference &Amp; Exhibition (DATE), 2014

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Abstract-Reliability is a major concern in multiprocessors. Dynamic Reliability Management (DRM) aims at trading off processor performance with lifetime. The state-of-the-art publications study only the theory supported by simulation. This paper presents the first complete software implementation, working on a real hardware, of a low-overhead, Android-compatible workload-aware DRM Governor for mobile multiprocessors. We discuss the design challenges and the run-time overhead involved. We show the effectiveness of our governor in guaranteeing the predefined target lifetime and show that it achieves up to 100% of lifetime improvement with respect to traditional governors, while providing comparable performance for critical applications.

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Dynamic NBTI Management Using a 45 nm Multi-Degradation Sensor

Cited by 34 publications

References 30 publications

Underdesigned and Opportunistic Computing in Presence of Hardware Variability

Underdesigned and Opportunistic Computing in Presence of Hardware Variability

ARGO: Aging-aware GPGPU register file allocation

A Linux-governor based Dynamic Reliability Manager for android mobile devices

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