کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1759232 1019270 2013 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Accelerating numerical modeling of wave propagation through 2-D anisotropic materials using OpenCL
موضوعات مرتبط
مهندسی و علوم پایه فیزیک و نجوم آکوستیک و فرا صوت
پیش نمایش صفحه اول مقاله
Accelerating numerical modeling of wave propagation through 2-D anisotropic materials using OpenCL
چکیده انگلیسی

We present an implementation of the numerical modeling of elastic waves propagation, in 2D anisotropic materials, using the new parallel computing devices (PCDs). Our study is aimed both to model laboratory experiments and explore the capabilities of the emerging PCDs by discussing performance issues. In the experiments a sample plate of an anisotropic material placed inside a water tank is rotated and, for every angle of rotation it is subjected to an ultrasonic wave (produced by a large source transducer) that propagates in the water and through the material producing some reflection and transmission signals that are recording by a “point-like” receiver. This experiment is numerically modeled by running a finite difference code covering a set of angles θ ∈ [−50°, 50°], and recorded the signals for the transmission and reflection results. Transversely anisotropic and weakly orthorhombic materials are considered. We accelerated the computation using an open-source toolkit called PyOpenCL, which lets one to easily access the OpenCL parallel computation API’s from the high-level programming environment of Python. A speedup factor over 19 using the GPU is obtained when compared with the execution of the same program in parallel using a CPU multi-core (in this case we use the 4-cores that has the CPU). The performance for different graphic cards and operating systems is included together with the full 2-D finite difference code with PyOpenCL.


► Elastic wave modeling using parallel computing devices (PCDs) is presented.
► Our study is aimed to model laboratory experiments and explore capabilities of PCD.
► Transversely anisotropic and weakly orthorhombic materials are considered.
► We accelerated the computation using an open-source toolkit called PyOpenCL.
► Full 2-D finite difference code with PyOpenCL is included.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Ultrasonics - Volume 53, Issue 3, March 2013, Pages 815–822
نویسندگان
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