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Temperature Gradient Exploration Method for Determining the Appropriate Number of Cells in Mesh-Based Thermal Analysis

机译:基于网格的热分析中确定适当单元数的温度梯度探索方法

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When multiprocessor system-on-chip designs are subjected to aggressive scaling of the processing technology, severe thermal effects will influence the performance, power and reliability of integrated circuits (ICs). Hence, IC designers employ mesh-based transient thermal analysis (MTTA) to effectively predict the variations and distribution of temperatures in a chip during the early stages of IC design. The number of cells used in MTTA tools is decided by the user. However, users are generally unclear about whether the number of cells used for three dimensions is appropriate. An unsuitable number of cells may reduce the analytical performance or cause larger analysis errors in MTTA. Hence, MTTA using an appropriate number of cells can obtain higher analytical performance while maintaining acceptable accuracy. In this paper, we developed a temperature gradient exploration (TGE) method for exploring the appropriate number of cells to use in MTTA. The experimental results showed that the TGE method can find the appropriate number of cells and enhance the analytical performance of MTTA with acceptable accuracy.
机译:当多处理器片上系统设计受到处理技术的大规模扩展时,严重的热效应将影响集成电路(IC)的性能,功率和可靠性。因此,IC设计人员采用基于网格的瞬态热分析(MTTA)来有效预测IC设计早期阶段芯片中温度的变化和分布。 MTTA工具中使用的单元数量由用户决定。但是,用户通常不清楚用于三个维度的单元数是否合适。不合适的单元数可能会降低分析性能或导致MTTA中更大的分析错误。因此,使用适当数量的单元的MTTA可以获得更高的分析性能,同时保持可接受的准确性。在本文中,我们开发了一种温度梯度探索(TGE)方法,用于探索在MTTA中使用的适当数量的细胞。实验结果表明,TGE法可以找到合适的细胞数量,并以可接受的精度提高MTTA的分析性能。

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