کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4968273 1449565 2017 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
CONeP: A cost-effective online nesting procedure for regional atmospheric models
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
CONeP: A cost-effective online nesting procedure for regional atmospheric models
چکیده انگلیسی


- We developed a cost-effective online domain nesting procedure (CONeP) for regional atmospheric models.
- The developed procedure improves computational efficiency of online nesting system.
- The computations for each domain are executed in parallel.
- The efficiency of CONeP was measured on the supercomputer comparing with the conventional way using the same node number.
- Users can assign an appropriate node number to each domain.

We propose a cost-effective online nesting procedure (CONeP) for regional atmospheric models to improve computational efficiency. The conventional procedure of online nesting is ineffective because computations are executed sequentially for each domain, and it does not enable users freely to determine the number of computational nodes. However, CONeP can completely avoid this limitation through three actions: 1) splitting the processes into multiple subgroups; 2) making each subgroup manage just one domain; and 3) executing the computations for each domain simultaneously. Since users can assign an optimal number of nodes to each domain, the model with CONeP is computationally efficient. We demonstrate the computational advantage of CONeP over the conventional procedure, comparing the elapsed times with both procedures on a supercomputer. The elapsed time with CONeP is markedly shorter than that observed with the conventional procedure using the same number of computational nodes. This advantage becomes more significant as the number of nesting domains increases.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Parallel Computing - Volume 65, July 2017, Pages 21-31
نویسندگان
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