Show HN: A free, GPU-accelerated Texas Hold'em GTO solver in C++/CUDA

3 comments

• rh94 5 hours ago
  I’ve done good deal of cfr/deepstack work my self, can you tell us bit more details how it works under the hood?

  In particular, what is the gpu part?

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  • bupticybee 4 hours ago
    GPU is good at doing parallel task that in nature is the same. So it fit perfectly in CFR context. CFR is basically doing a lot of similar work across nodes. So if you implememnt a cuda kernel for regret matching, it will accelerate the solving process a lot.
• 217 5 hours ago
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