Títol:
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High-performance reverse time migration on GPU
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Autor/a:
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Cabezas, Javier; Ayala Polo, Mauricio; Gelado Fernandez, Isaac; Morancho Llena, Enrique; Navarro, Nacho; Cela Espín, José M.
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Altres autors:
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Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors; Universitat Politècnica de Catalunya. CAP - Grup de Computació d'Altes Prestacions |
Abstract:
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Partial Differential Equations (PDE) are the heart of most simulations in many scientific fields, from Fluid Mechanics to Astrophysics. One the most popular mathematical schemes to solve a PDE is Finite Difference (FD).
In this work we map a PDE-FD algorithm called Reverse Time Migration to a GPU using CUDA. This seismic imaging (Geophysics) algorithm is widely used in the oil industry. GPUs are natural contenders in the aftermath of the clock race, in particular for High-performance Computing (HPC). Due to GPU characteristics, the parallelism paradigm shifts from the classical threads plus SIMD to Single Program Multiple Data (SPMD). The NVIDIA GTX 280 implementation outperforms homogeneous CPUs up to 9x (Intel Harpertown E5420) and up to 14x (IBM PPC 970). These preliminary results confirm that GPUs are a real option for HPC, from performance to programmability. |
Matèries:
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-Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors -High performance computing -Finite differences -Differential equations, Partial. -Arquitectura de computadors |
Drets:
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Tipus de document:
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Article - Versió publicada Objecte de conferència |
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