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A cellular automata program built with C++, OpenGL, CUDA and OpenMP.

License: MIT License

Makefile 0.45% C++ 10.53% Cuda 6.45% Shell 0.74% Jupyter Notebook 81.83%
cellular-automata cuda life opengl openmp

cellular-automata's Introduction

Hi there ๐Ÿ‘‹ I'm Bryan

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Passionate computer scientist, thrilled by innovation and amazed by the human brain. Interested in high-performance computing and working towards artificial general intelligence through deep reinforcement learning research and machine learning engineering. Voracious meta-learner in the free time.

  • ๐Ÿ”ญ Iโ€™m currently working on machine learning engineering and reinforcement learning research applied to debt collection.
  • ๐ŸŒฑ I'm always learning, as I find that constantly expanding my horizons helps to boost my creativity.
  • ๐Ÿ’ฌ Ask me about AI, how we can draw inspiration from the brain, and philosophical questions about it.
  • โšก Fun fact: I once wrote a program that could simulate Life within Life itself:

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cellular-automata's Issues

Please clarify: This program is memory bandwidth limited, nothing else

I think it would help the next person learning about this stuff to mention that in your readme.

That's why you don't see much speedup when adding more cores.

I measured/calculated 20% memory bandwidth efficiency for the GPU implementation and 25-50% for the CPU implementation.

None of your evaluations or observations mention memory bandwidth at all.

Also, using curand is what makes your implementation not support even a 30k * 30k = 900 MB grid. sizeof(curandState) = 48 bytes...
If you get rid of curand and use any other decent hash, you can max out the size of the grid.

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