high performance computing on graphics processing units: hgpu.org

hgpu.org » Seismology

Seismic imaging based on spectral differentiation matrix and GPU implementation

Jing-Bo Chen, Guo-Feng Liu, Hong Liu

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Tags: Algorithms, CUDA, Earth and Space Sciences, nVidia, Seismology, Tesla C1060, Wave equation

February 7, 2012 by hgpu

Support Operator Rupture Dynamics on GPU

Shenyi Song, Yichen Zhou, Tingxing Dong, David A. Yuen

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Tags: CUDA, Earth and Space Sciences, nVidia, Seismology, Tesla C1060

November 30, 2011 by hgpu

Scaling Results for a Discontinuous Galerkin Finite-Element Wave Solver on Multi-GPU Systems

Max Rietmann, Olaf Schenk, Helmar Burkhart

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Tags: CUDA, Differential equations, Earth and Space Sciences, FEM, Finite element method, nVidia, Partial differential equations, PDEs, Seismology, Tesla C2050, Tesla C2070

November 26, 2011 by hgpu

Effects of compression on data intensive algorithms

Ahmed Adnan Aqrawi

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Tags: Algorithms, Compression, Computer science, CUDA, Filtering, Image processing, nVidia, Seismology, Tesla C1060, Tesla C2050, Thesis

October 15, 2011 by hgpu

Bandwidth Reduction Through Multithreaded Compression of Seismic Images

Ahmed A. Aqrawi, Anne C. Elster

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Tags: Algorithms, Compression, Computer science, CUDA, Image processing, nVidia, Seismology, Tesla C2050

October 15, 2011 by hgpu

GPU accelerated 2-D staggered-grid finite difference seismic modelling

Zhangang Wang, Suping Peng, Tao Liu

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Tags: Cg, Earth and Space Sciences, Finite difference, nVidia, nVidia GeForce 9800 GT, OpenGL, Seismic modeling, Seismology

October 5, 2011 by hgpu

Hardware/Software Co-design for Energy-Efficient Seismic Modeling

Jens Krueger, David Donofrio, John Shalf, Marghoob Mohiyuddin, Samuel Williams, Leonid Oliker, Franz-Josef Pfreundt

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Tags: CUDA, Earth and Space Sciences, FPGA, nVidia, PC cluster, Seismic modeling, Seismology, Tesla C2050, Wave equation

October 2, 2011 by hgpu

Exploiting Heterogeneous Computing Platforms By Cataloging Best Solutions For Resource Intensive Seismic Applications

Thomas Grosser, Alexandros Gremm, Sebastian Veith, Gerald Heim, Wolfgang Rosenstiel, Victor Medeiros, Manoel Eusebio de Lima

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Tags: Earth and Space Sciences, FPGA, Geoscience, Heterogeneous systems, nVidia, OpenCL, Optimization, Seismic modeling, Seismology, Tesla T10P

September 25, 2011 by hgpu

GPU and CPU cooperation parallel visualisation for large seismic data

K. Xie, P. Wu, S. Yang

Tags: Earth and Space Sciences, Rendering, Seismology, Visualization

April 27, 2011 by hgpu

Practical Pre-stack Kirchhoff Time Migration of Seismic Processing on General Purpose GPU

Xiaohua Shi, Xu Wang, Changhai Zhao, Haiyan Yang

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Tags: CUDA, Earth and Space Sciences, nVidia, nVidia GeForce 8800 GT, Seismology

April 18, 2011 by hgpu

Fast seismic modeling and Reverse Time Migration on a GPU cluster

Rached Abdelkhalek, Henri Calendra, Olivier Coulaud, Jean Roman, Guillaume Latu

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Tags: CUDA, Earth and Space Sciences, Finite difference, GPU cluster, nVidia, Seismic modeling, Seismology, Tesla S1070

April 10, 2011 by hgpu

Parallel and distributed seismic wave field modeling with combined Linux clusters and graphics processing units

T. Danek

Tags: Earth and Space Sciences, Seismic modeling, Seismology

April 6, 2011 by hgpu

CLUEstering: a high-performance density-based clustering library for scientific computing

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high performance computing on graphics processing units: hgpu.org

Seismic imaging based on spectral differentiation matrix and GPU implementation

Support Operator Rupture Dynamics on GPU

Scaling Results for a Discontinuous Galerkin Finite-Element Wave Solver on Multi-GPU Systems

Effects of compression on data intensive algorithms

Bandwidth Reduction Through Multithreaded Compression of Seismic Images

GPU accelerated 2-D staggered-grid finite difference seismic modelling

Hardware/Software Co-design for Energy-Efficient Seismic Modeling

Exploiting Heterogeneous Computing Platforms By Cataloging Best Solutions For Resource Intensive Seismic Applications

GPU and CPU cooperation parallel visualisation for large seismic data

Practical Pre-stack Kirchhoff Time Migration of Seismic Processing on General Purpose GPU

Fast seismic modeling and Reverse Time Migration on a GPU cluster

Parallel and distributed seismic wave field modeling with combined Linux clusters and graphics processing units

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