2011 IEEE 6th International Design and Test Workshop (IDT) 2011
DOI: 10.1109/idt.2011.6123092
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Process-variation and temperature aware soc test scheduling using particle swarm optimization

Abstract: Abstract-High working temperature and process variation are undesirable effects for modern systems-on-chip. It is well recognized that the high temperature should be taken care of during the test process. Since large process variations induce rapid and large temperature deviations, traditional static test schedules are suboptimal in terms of speed and/or thermalsafety. A solution to this problem is to use an adaptive test schedule which addresses the temperature deviations by reacting to them. We propose an ad… Show more

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Cited by 6 publications
(15 citation statements)
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“…A solution encoding scheme is suggested in [Aghaee11b] which labels the error cells with chip clusters. The number of the decision variables grows exponentially with the number of cores and therefore the computational complexity is very high.…”
Section: Sub-tree Schedulingmentioning
confidence: 99%
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“…A solution encoding scheme is suggested in [Aghaee11b] which labels the error cells with chip clusters. The number of the decision variables grows exponentially with the number of cores and therefore the computational complexity is very high.…”
Section: Sub-tree Schedulingmentioning
confidence: 99%
“…Some experiments, for chip clustering optimization for sub-trees using PSO, are reported in [Aghaee11b]. The experiments showed that the PSO performs well for this purpose.…”
Section: Sub-tree Schedulingmentioning
confidence: 99%
“…Efficient values for stop boosting and heating trigger temperatures for each map are found using an optimization metaheuristic similar to [2].…”
Section: mentioning
confidence: 99%
“…Additionally, power densities are considerably higher in the test mode compared to the functional mode, in particular for core-based designs [4]. The temperatures in the test mode could actually be high enough to damage the IC because of overheating [2,9,16]. This means that the application of test stimuli can raise the ICs' temperatures to their tolerable limits for large deep-submicron ICs and in particular 3D-SIC.…”
Section: Introductionmentioning
confidence: 99%
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