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as seen on Daniel Moth
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WhatGPU obviously stands for Graphics Processing Unit (the silicon powering the display you are using to read this blog post). The extra GP in front of that stands for General Purpose computing.So, altogether GPGPU refers to computing we can perform on GPU for purposes beyond just drawing on the screen…
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as seen on Game Development
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Hello
First theoretical question. What is better (faster)? Develop your own gpgpu techniques for physics simulation (cloth, fluids, colisions...) or to use PhysX?
(If i say develop i mean implement existing algorithms like navier-strokes...)
I don't care about what will take more time to develop…
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as seen on Stack Overflow
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I want to know what sort of financial applications can be implemented using a GPGPU. I'm aware of Option pricing/ Stock price estimation using Monte Carlo simulation on GPGPU using CUDA. Can someone enumerate the various possibilities of utilizing GPGPU for any application in Finance domain,
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as seen on Stack Overflow
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General-purpose computing on graphics processing units (GPGPU) is a very attractive concept to harness the power of the GPU for any kind of computing.
I'd love to use GPGPU for image processing, particles, and fast geometric operations.
Right now, it seems the two contenders in this space are CUDA…
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as seen on Stack Overflow
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I am trying to do some image processing on the GPU, e.g. median, blur, brightness, etc. The general idea is to do something like this framework from GPU Gems 1.
I am able to write the GLSL fragment shader for processing the pixels as I've been trying out different things in an effect designer app…
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