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Rob Kendrick wrote:
> I'm having trouble imagining a situation where there'd be a significant
> performance boost from running an interpreted general-purpose language
> on your GPU, though.  They're really only any good at highly parallel
> workloads.

I agree - general purpose Lua scripts are not likely to run well on a
SIMD architecture like a GPU. What might be nice though is a Lua
interface to the functionality of OpenCL... once they have a release
ready for the masses.

As a background for my desire, I'm looking at evolutionary processes for
agents in a virtual world. I am trying to combine evolutionary/genetic
programming of Lua "control" code using inputs from layered Restricted
Boltzmann Machines (a specialised and useful artificial neural network
architecture). The GPU is perfect for the training/evaluation of the
Boltzmann Machine layers weights/values (as they can be loaded into
textures and processed with a fragment shader) with the Lua control
agents being evolved to use these inputs in the standard fashion. If
only I could find someone willing to pay me for the time spent doing that!


Benjamin Tolputt
Analyst Programmer

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