Thermal Aware SOC Testing by Introducing Cooling Period.

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Title: Thermal Aware SOC Testing by Introducing Cooling Period.
Authors: Sarkar, Trupa1, Chakraborty, Shrabanti1, Paul, Bikram1, Pradhan, Sambhu Nath1
Source: IETE Technical Review. Mar2017, Vol. 34 Issue 2, p113-121. 9p.
Subjects: Systems on a chip testing, Cooling, Thermal comfort, Genetic algorithms, Temperature measurements
Abstract: Power and temperature constraint system-on-chip (SOC) testing is currently a major research topic. Because of increasing technology scaling and increase in device density of SOC, overheating is becoming a serious problem in the case of SOC testing. Most of the conventional power constrained test scheduling algorithms are unable to meet the temperature constraint. In this paper, two approaches of reducing test power and temperature of individual circuit and SOC have been presented. First approach considers reduction of leakage (which depends on previous pattern) during testing by ordering the test patterns. In the second approach, temperature aware SOC testing is considered. The cores of the SOC are tested with the ordered test patterns in a tactful way by introducing cooling time such that overall temperature of the SOC is reduced. Genetic algorithm (GA) based approach is used to minimize the total power and the temperature during testing by introducing cooling time between consecutive test patterns which are generated using ATALANTA for stuck-at fault model. Using this proposed technique, average saving of temperature is up to 91% when sufficient cooling period is introduced between consecutive test patterns. [ABSTRACT FROM AUTHOR]
Copyright of IETE Technical Review is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Power and temperature constraint system-on-chip (SOC) testing is currently a major research topic. Because of increasing technology scaling and increase in device density of SOC, overheating is becoming a serious problem in the case of SOC testing. Most of the conventional power constrained test scheduling algorithms are unable to meet the temperature constraint. In this paper, two approaches of reducing test power and temperature of individual circuit and SOC have been presented. First approach considers reduction of leakage (which depends on previous pattern) during testing by ordering the test patterns. In the second approach, temperature aware SOC testing is considered. The cores of the SOC are tested with the ordered test patterns in a tactful way by introducing cooling time such that overall temperature of the SOC is reduced. Genetic algorithm (GA) based approach is used to minimize the total power and the temperature during testing by introducing cooling time between consecutive test patterns which are generated using ATALANTA for stuck-at fault model. Using this proposed technique, average saving of temperature is up to 91% when sufficient cooling period is introduced between consecutive test patterns. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of IETE Technical Review is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1080/02564602.2016.1152914
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        Text: English
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        Type: general
      – SubjectFull: Cooling
        Type: general
      – SubjectFull: Thermal comfort
        Type: general
      – SubjectFull: Genetic algorithms
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      – SubjectFull: Temperature measurements
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      – TitleFull: Thermal Aware SOC Testing by Introducing Cooling Period.
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              Text: Mar2017
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