2017
DOI: 10.1049/iet-cds.2016.0529
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Heuristic thermal sensor allocation methods for overheating detection of real microprocessors

Abstract: Modern microprocessors utilise embedded thermal sensors to continuously monitor the chip's temperature during runtime. However, the overheating locations change temporally and spatially depending on the various workloads running on the chip. Furthermore, on-chip thermal sensor readings are highly affected by noise due to fabrication fluctuations and randomness, which makes the task of thermal monitoring particularly challenging. In this study, the authors first establish overheating detection models to address… Show more

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Cited by 4 publications
(2 citation statements)
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“…Equation ( 18) has a least-squares solution like (16). Therefore, the K-SVD algorithm can be used to solve (18).…”
Section: Algorithm 4 Design-time Algorithmmentioning
confidence: 99%
See 1 more Smart Citation
“…Equation ( 18) has a least-squares solution like (16). Therefore, the K-SVD algorithm can be used to solve (18).…”
Section: Algorithm 4 Design-time Algorithmmentioning
confidence: 99%
“…An unnecessary response is undesirable because it may sacrifice chip performance in frequency or voltage [5,12]. The false alarm rate (FAR), which is defined as the probability sum of a missed response and fake response, is used to evaluate the effect of the temperature reconstruction accuracy on DTM [16][17][18].…”
Section: Introductionmentioning
confidence: 99%