Thermal-safe system-on-chip test scheduling using dynamic voltage and frequency scaling

Designing integrated circuits (ICs) has become more challenging when fabrication technology scales down. Overheating has been acknowledged as a major issue in testing due to high power consumption of a chip during test. A direct consequence of the increasing power density is the increasing junction...

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Main Author: Hassan, Hasliza
Format: Thesis
Language:English
Published: 2018
Subjects:
Online Access:http://eprints.utm.my/id/eprint/102249/1/HaslizaHassanPSKE2018.pdf
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spelling my-utm-ep.1022492023-08-17T00:22:55Z Thermal-safe system-on-chip test scheduling using dynamic voltage and frequency scaling 2018 Hassan, Hasliza TK Electrical engineering. Electronics Nuclear engineering Designing integrated circuits (ICs) has become more challenging when fabrication technology scales down. Overheating has been acknowledged as a major issue in testing due to high power consumption of a chip during test. A direct consequence of the increasing power density is the increasing junction temperature that poses several problems such as aging issue. Therefore, thermal estimation needs to be considered during test scheduling to avoid exceeding temperature limit of the System-on-Chips under test. This thesis proposes a new thermal model that considers metal layer effects of SoC, and thermal safe test scheduling with dynamic voltage and frequency scaling (DVFS) technique. The difference in estimated temperature is over 10 °C if the effect of metal interconnect is neglected. In DVFS, the energy savings obtained by eliminating the global clock are, in many cases, offset by the additional power consumed due to longer execution time. The thermal safe test scheduling problem is formulated as a combination optimization problem, and the integer logic programming is used to find the optimal solution of test schedule for a given SoC under thermal constraint. The proposed thermal model is a necessary tool for rapid thermal analysis of the system which is exposed to non-uniform substrate temperature including thermal effect from metal interconnects. This thermal model will be used to estimate temperature during test scheduling in order to optimize total test time under thermal constraint. Results on different benchmark SoCs have shown the effectiveness of the proposed technique which produces shorter testing time. Total test time reduction by using the proposed technique is 46% compared to conventional existing techniques. Overall, the proposed technique produced more effective thermal aware test scheduling. 2018 Thesis http://eprints.utm.my/id/eprint/102249/ http://eprints.utm.my/id/eprint/102249/1/HaslizaHassanPSKE2018.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:149000 phd doctoral Universiti Teknologi Malaysia, Faculty of Engineering - School of Electrical Engineering Faculty of Engineering - School of Electrical Engineering
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
language English
topic TK Electrical engineering
Electronics Nuclear engineering
spellingShingle TK Electrical engineering
Electronics Nuclear engineering
Hassan, Hasliza
Thermal-safe system-on-chip test scheduling using dynamic voltage and frequency scaling
description Designing integrated circuits (ICs) has become more challenging when fabrication technology scales down. Overheating has been acknowledged as a major issue in testing due to high power consumption of a chip during test. A direct consequence of the increasing power density is the increasing junction temperature that poses several problems such as aging issue. Therefore, thermal estimation needs to be considered during test scheduling to avoid exceeding temperature limit of the System-on-Chips under test. This thesis proposes a new thermal model that considers metal layer effects of SoC, and thermal safe test scheduling with dynamic voltage and frequency scaling (DVFS) technique. The difference in estimated temperature is over 10 °C if the effect of metal interconnect is neglected. In DVFS, the energy savings obtained by eliminating the global clock are, in many cases, offset by the additional power consumed due to longer execution time. The thermal safe test scheduling problem is formulated as a combination optimization problem, and the integer logic programming is used to find the optimal solution of test schedule for a given SoC under thermal constraint. The proposed thermal model is a necessary tool for rapid thermal analysis of the system which is exposed to non-uniform substrate temperature including thermal effect from metal interconnects. This thermal model will be used to estimate temperature during test scheduling in order to optimize total test time under thermal constraint. Results on different benchmark SoCs have shown the effectiveness of the proposed technique which produces shorter testing time. Total test time reduction by using the proposed technique is 46% compared to conventional existing techniques. Overall, the proposed technique produced more effective thermal aware test scheduling.
format Thesis
qualification_name Doctor of Philosophy (PhD.)
qualification_level Doctorate
author Hassan, Hasliza
author_facet Hassan, Hasliza
author_sort Hassan, Hasliza
title Thermal-safe system-on-chip test scheduling using dynamic voltage and frequency scaling
title_short Thermal-safe system-on-chip test scheduling using dynamic voltage and frequency scaling
title_full Thermal-safe system-on-chip test scheduling using dynamic voltage and frequency scaling
title_fullStr Thermal-safe system-on-chip test scheduling using dynamic voltage and frequency scaling
title_full_unstemmed Thermal-safe system-on-chip test scheduling using dynamic voltage and frequency scaling
title_sort thermal-safe system-on-chip test scheduling using dynamic voltage and frequency scaling
granting_institution Universiti Teknologi Malaysia, Faculty of Engineering - School of Electrical Engineering
granting_department Faculty of Engineering - School of Electrical Engineering
publishDate 2018
url http://eprints.utm.my/id/eprint/102249/1/HaslizaHassanPSKE2018.pdf
_version_ 1776100878826078208