کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7156682 | 1462675 | 2016 | 13 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A GPU accelerated adjoint-based optimizer for inverse modeling of the two-dimensional shallow water equations
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مکانیک محاسباتی
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
The increasing computational capacity of current computing technologies makes feasible the application of predictive high-resolution mathematical models for studying physical phenomena. Additionally, this can be enhanced if those methods are incorporated to some optimization method in order to perform inverse modeling. In this paper, an optimization procedure based on the adjoint equations is used for the reconstruction of information in a 2D Shallow Water model previously developed and proved to be fast, robust and accurate. The continuous adjoint approach used for the evaluation of the gradient that is introduced in a gradient-based optimizer. Furthermore, the computation of both physical and adjoint systems is accelerated by the use of GPU programming. Even though notable speed-ups are achieved with this technique they are only possible in small to medium size grids due to memory limitations. A novel checkpointing strategy is proposed to allow data handling in these devices hence offering the possibility to overcome that limitation.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Fluids - Volume 136, 10 September 2016, Pages 371-383
Journal: Computers & Fluids - Volume 136, 10 September 2016, Pages 371-383
نویسندگان
A. Lacasta, P. GarcÃa-Navarro,