computing device with a gpu Search Results


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MathWorks Inc supercomputer with a 64 gb gpu and 80 gb cpu memory and matlab 2021b software
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Molecular Dynamics Inc gpu-accelerated particle mesh ewald molecular dynamics module
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Advanced Micro Devices Inc gpu
Sample <t>GPU</t> code to solve the reaction-diffusion equation <t>in</t> <t>2D</t> tissue. At each time step, the ODE part is called once and the PDE part is called four times. The ODE kernel code and the PDE kernel code are in the Appendix
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apple inc radeon pro 6800x mpx gpu
Sample <t>GPU</t> code to solve the reaction-diffusion equation <t>in</t> <t>2D</t> tissue. At each time step, the ODE part is called once and the PDE part is called four times. The ODE kernel code and the PDE kernel code are in the Appendix
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Gatan Inc biocontinuum energy filter
Sample <t>GPU</t> code to solve the reaction-diffusion equation <t>in</t> <t>2D</t> tissue. At each time step, the ODE part is called once and the PDE part is called four times. The ODE kernel code and the PDE kernel code are in the Appendix
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Skyscan Corporation nrecon with a gpu recon server version 1.6.8.0
Sample <t>GPU</t> code to solve the reaction-diffusion equation <t>in</t> <t>2D</t> tissue. At each time step, the ODE part is called once and the PDE part is called four times. The ODE kernel code and the PDE kernel code are in the Appendix
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Image Search Results


Sample GPU code to solve the reaction-diffusion equation in 2D tissue. At each time step, the ODE part is called once and the PDE part is called four times. The ODE kernel code and the PDE kernel code are in the Appendix

Journal: Medical & Biological Engineering & Computing

Article Title: Acceleration of cardiac tissue simulation with graphic processing units

doi: 10.1007/s11517-009-0514-4

Figure Lengend Snippet: Sample GPU code to solve the reaction-diffusion equation in 2D tissue. At each time step, the ODE part is called once and the PDE part is called four times. The ODE kernel code and the PDE kernel code are in the Appendix

Article Snippet: We have found that the computational speed of two-dimensional (2D) tissue simulations with a single commercially available GPU is about 30 times faster than with a single 2.0 GHz Advanced Micro Devices (AMD) Opteron processor.

Techniques: Diffusion-based Assay

Comparison between GPU and CPU. a Time to compute 3 s of simulation time in 2D tissue. X- axis is the tissue size. Left Y -axis is computation time. Right Y -axis is acceleration (i.e., computation time with CPU/computation time with GPU). b Time to simulate the whole heart for 1 s of the simulation time. c Computation ratio of the ODE, the PDE, and the data transfer for each simulation

Journal: Medical & Biological Engineering & Computing

Article Title: Acceleration of cardiac tissue simulation with graphic processing units

doi: 10.1007/s11517-009-0514-4

Figure Lengend Snippet: Comparison between GPU and CPU. a Time to compute 3 s of simulation time in 2D tissue. X- axis is the tissue size. Left Y -axis is computation time. Right Y -axis is acceleration (i.e., computation time with CPU/computation time with GPU). b Time to simulate the whole heart for 1 s of the simulation time. c Computation ratio of the ODE, the PDE, and the data transfer for each simulation

Article Snippet: We have found that the computational speed of two-dimensional (2D) tissue simulations with a single commercially available GPU is about 30 times faster than with a single 2.0 GHz Advanced Micro Devices (AMD) Opteron processor.

Techniques: Comparison