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On-Chip Structures for F(max) Binning and Optimization †

Process variations during manufacturing lead to differences in the performance of the chips. In order to better utilize the performance of the chips, it is necessary to perform maximum operation frequency ([Formula: see text]) tests to place the chips into different speed bins. For most [Formula: se...

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Detalles Bibliográficos
Autores principales: Zhang, Dongrong, Ren, Qiang, Su, Donglin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8963108/
https://www.ncbi.nlm.nih.gov/pubmed/35214283
http://dx.doi.org/10.3390/s22041382
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author Zhang, Dongrong
Ren, Qiang
Su, Donglin
author_facet Zhang, Dongrong
Ren, Qiang
Su, Donglin
author_sort Zhang, Dongrong
collection PubMed
description Process variations during manufacturing lead to differences in the performance of the chips. In order to better utilize the performance of the chips, it is necessary to perform maximum operation frequency ([Formula: see text]) tests to place the chips into different speed bins. For most [Formula: see text] tests, significant efforts are put in place to reduce test cost and improve binning accuracy; e.g., our conference paper published in ICICM 2017 presents a novel binning sensor for low-cost and accurate speed binning. However, by promoting chips placed at the lower bins, because of conservative binning, into higher bins, the overall profit can greatly increase. Therefore, this paper, extended based on a conference paper, presents a novel and adaptive methodology for speed binning, in which the paths impacting the speed bin of a specific IC are identified and adapted by our proposed on-chip Binning Checker and Binning Adaptor. As a result, some parts at a bin margin can be promoted to higher bins. The proposed methodology can be used to optimize the [Formula: see text] yield of a digital circuit when it has redundant timing in clock tree, and it can be integrated into current [Formula: see text] tests with low extra cost. The proposed adaptive system has been implemented and validated on five benchmarks from ITC, ISCAS89, and OpenSPARCT2 core on 28 nm Altera FPGAs. Measurement results show that the number of higher bin chips is improved by 7–16%, and our cost analysis shows that the profit increase is between 1.18% and 3.04%.
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spelling pubmed-89631082022-03-30 On-Chip Structures for F(max) Binning and Optimization † Zhang, Dongrong Ren, Qiang Su, Donglin Sensors (Basel) Article Process variations during manufacturing lead to differences in the performance of the chips. In order to better utilize the performance of the chips, it is necessary to perform maximum operation frequency ([Formula: see text]) tests to place the chips into different speed bins. For most [Formula: see text] tests, significant efforts are put in place to reduce test cost and improve binning accuracy; e.g., our conference paper published in ICICM 2017 presents a novel binning sensor for low-cost and accurate speed binning. However, by promoting chips placed at the lower bins, because of conservative binning, into higher bins, the overall profit can greatly increase. Therefore, this paper, extended based on a conference paper, presents a novel and adaptive methodology for speed binning, in which the paths impacting the speed bin of a specific IC are identified and adapted by our proposed on-chip Binning Checker and Binning Adaptor. As a result, some parts at a bin margin can be promoted to higher bins. The proposed methodology can be used to optimize the [Formula: see text] yield of a digital circuit when it has redundant timing in clock tree, and it can be integrated into current [Formula: see text] tests with low extra cost. The proposed adaptive system has been implemented and validated on five benchmarks from ITC, ISCAS89, and OpenSPARCT2 core on 28 nm Altera FPGAs. Measurement results show that the number of higher bin chips is improved by 7–16%, and our cost analysis shows that the profit increase is between 1.18% and 3.04%. MDPI 2022-02-11 /pmc/articles/PMC8963108/ /pubmed/35214283 http://dx.doi.org/10.3390/s22041382 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhang, Dongrong
Ren, Qiang
Su, Donglin
On-Chip Structures for F(max) Binning and Optimization †
title On-Chip Structures for F(max) Binning and Optimization †
title_full On-Chip Structures for F(max) Binning and Optimization †
title_fullStr On-Chip Structures for F(max) Binning and Optimization †
title_full_unstemmed On-Chip Structures for F(max) Binning and Optimization †
title_short On-Chip Structures for F(max) Binning and Optimization †
title_sort on-chip structures for f(max) binning and optimization †
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8963108/
https://www.ncbi.nlm.nih.gov/pubmed/35214283
http://dx.doi.org/10.3390/s22041382
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