Single-node SOR Method for statistical 3D thermal analysis
As the first study on Statistical 3D thermal analysis,we propose an efficient method for fewer over-hot spots. The new method,called SN-SOR (single-node SOR),is based on a novel localized relaxed iterative approach and it can perform statistical analysis on one over-hot spot at a time. Experiments show that SN-SOR is 590X faster than Monte-Carlo method with small errors and is 29X faster than general global SOR(successive over relaxation) method in statistical analysis of 450 over-hot spots. As a result,SN-SOR only take average 0.1481 second to statistically analyze one over-hot spot for a large test case of 1.3M nodes under spatially correlated energy and thermal conductance disturbances.
Zu-ying Luo Tong Zhu Qiao Li Xian-chuan Yu
Department of Electronics,Beijing Normal University,Beijing 100875,P.R.China
国际会议
9th International Conference on Solid-State and Integrated-Circuit Technology(第9届固态和集成电路国际会议)
北京
英文
2341-2344
2008-10-20（万方平台首次上网日期，不代表论文的发表时间）