Empirical performance modeling for parallel weather prediction codes

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• 作者：Mierendorff ; Hermann ; Joppich ; Wolfgang
• 关键词：Parallel programming ; Performance modeling ; Weather prediction code
• 刊名：Parallel Computing
• 出版年：1999
• 出版时间：December, 1999
• 年：1999
• 卷：25
• 期：13-14
• 页码：2135-2148
• 全文大小：166 K

文摘

Performance modeling for large industrial or scientific codes is of value for program tuning or for selection of new machines when benchmarking is not yet possible. We discuss an empirical method of estimating runtime for certain large parallel programs where computational work is estimated by regression functions based on measurements and time cost of communication is modeled by program analysis and benchmarks for communication primitives. The method is demonstrated with the local weather model (LM) of the German Weather Service (DWD) on SP-2, T3E, and SX-4. The method is an economic way of developing performance models because only a moderate number of measurements is required. The resulting model is sufficiently accurate even for very large test cases.