Cándido Méndez

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Previous research has shown that the expression of implicit sequence learning is eliminated in a choice reaction time task when an explicit cue allows participants to accurately predict the next stimulus (Cleeremans, 1997), but that two contingencies predicting the same outcome can be learned and expressed simultaneously when both of them remain implicit(More)
This paper presents a complete modeling approach to analyze the thermal behavior of microprocessor-based systems. While most compact modeling approaches require a deep knowledge of the implementation details, our method defines a black box technique which can be applied to different target processors when this detailed information is unknown. The obtained(More)
This paper makes use of a black box modeling approach to analyze the thermal behavior of microprocessor systems. Our goal is to study the impact of code transformations in the thermal behavior of the chip. The analysis of the thermal effect of the source code modifications can be included in a temperature-aware compiler which minimizes the total temperature(More)
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