LUO Zuying, ZHAO Guoxing, FAN Jeffrey, et al., “Efficient Pre-conditional Single-Node SOR Method of Statistical 3D Thermal Analysis for Hot Spots,” Chinese Journal of Electronics, vol. 21, no. 1, pp. 47-52, 2012,
Citation: LUO Zuying, ZHAO Guoxing, FAN Jeffrey, et al., “Efficient Pre-conditional Single-Node SOR Method of Statistical 3D Thermal Analysis for Hot Spots,” Chinese Journal of Electronics, vol. 21, no. 1, pp. 47-52, 2012,

Efficient Pre-conditional Single-Node SOR Method of Statistical 3D Thermal Analysis for Hot Spots

  • Received Date: 2009-10-01
  • Rev Recd Date: 2010-12-01
  • Publish Date: 2012-01-05
  • This paper proposes an efficient statistical method to analyze temperature variations for few hot spots in a 3D thermal analysis. The new method, called EPSN-SOR (and its non-preconditioned version SNSOR), is based on a novel localized relaxation and iterative scheme. The new method can perform statistical analysis on single spot at a time. EPSN-SOR employs evolution and pre-condition techniques for speedup by exploiting topological similarity of two nearby spots. The method further considers spatial correlation in energy and conductance disturbances. Experiments show that EPSNSOR is about three orders of magnitude faster than the Monte-Carlo method with small errors and is about 80X faster than general global SOR (successive over relaxation) method in statistical analysis of 450 hot spots for a test case with 1.3 million nodes (average 0.0553 second per spot) under spatially correlated energy and thermal conductance disturbances on a normal desktop PC.
  • loading
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (734) PDF downloads(823) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return