SuperCoder: Assembly Program Superoptimization with Large Language Models

The episode details a paper titled "SuperCoder," which explores using Large Language Models for assembly program superoptimization. Researchers trained a fine-tuned model on over 8,000 programs using reinforcement learning. The study concludes that SuperCoder achieved 95% correctness and an average speedup of 1.46x over the standard GCC -O3 compiler output.

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