A Study of Test Schedule Optimization for Multicore SoCs

碩士 === 國立臺灣科技大學 === 電子工程系 === 104 === The sound economic solution is necessary for IC product testing with its increased integration and complexity. The cost saving is significant after test time reduction (TTR) whenever it implements on high product volume. The scheduling simulation evaluates test...

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Main Authors: Gwo-Tzong Leu, 呂國宗
Other Authors: Wei-Mei Chen
Format: Others
Language:zh-TW
Published: 2016
Online Access:http://ndltd.ncl.edu.tw/handle/47900026812091503128
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spelling ndltd-TW-104NTUS54281852017-09-24T04:40:50Z http://ndltd.ncl.edu.tw/handle/47900026812091503128 A Study of Test Schedule Optimization for Multicore SoCs 多核心平行測試流程最佳化之研究 Gwo-Tzong Leu 呂國宗 碩士 國立臺灣科技大學 電子工程系 104 The sound economic solution is necessary for IC product testing with its increased integration and complexity. The cost saving is significant after test time reduction (TTR) whenever it implements on high product volume. The scheduling simulation evaluates test items and bus resources for preparing before manufacture. The goal of this study is for the test scheduling to minimize the makespan. We used CPLEX, a tool for ILP, to find optimal solutions for the problems. Meanwhile, we proposed a genetic algorithm (GA) to obtain approximate solutions, which is more time-efficient than CPLEX when the big problem sets. Taguchi method design of experiment (DOE) was used to evaluate the performance of parameter combination of GA for scheduling as well. Wei-Mei Chen 陳維美 2016 學位論文 ; thesis 46 zh-TW
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description 碩士 === 國立臺灣科技大學 === 電子工程系 === 104 === The sound economic solution is necessary for IC product testing with its increased integration and complexity. The cost saving is significant after test time reduction (TTR) whenever it implements on high product volume. The scheduling simulation evaluates test items and bus resources for preparing before manufacture. The goal of this study is for the test scheduling to minimize the makespan. We used CPLEX, a tool for ILP, to find optimal solutions for the problems. Meanwhile, we proposed a genetic algorithm (GA) to obtain approximate solutions, which is more time-efficient than CPLEX when the big problem sets. Taguchi method design of experiment (DOE) was used to evaluate the performance of parameter combination of GA for scheduling as well.
author2 Wei-Mei Chen
author_facet Wei-Mei Chen
Gwo-Tzong Leu
呂國宗
author Gwo-Tzong Leu
呂國宗
spellingShingle Gwo-Tzong Leu
呂國宗
A Study of Test Schedule Optimization for Multicore SoCs
author_sort Gwo-Tzong Leu
title A Study of Test Schedule Optimization for Multicore SoCs
title_short A Study of Test Schedule Optimization for Multicore SoCs
title_full A Study of Test Schedule Optimization for Multicore SoCs
title_fullStr A Study of Test Schedule Optimization for Multicore SoCs
title_full_unstemmed A Study of Test Schedule Optimization for Multicore SoCs
title_sort study of test schedule optimization for multicore socs
publishDate 2016
url http://ndltd.ncl.edu.tw/handle/47900026812091503128
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