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Compiler generated feedback for Large Language Models
We introduce a novel paradigm in compiler optimization powered by Large Language Models with compiler feedback to optimize the code size of LLVM assembly.
Priority Sampling of Large Language Models for Compilers
Large language models show great potential in generating and optimizing code.
Large Language Models for Compiler Optimization
We explore the novel application of Large Language Models to code optimization.
LoopTune: Optimizing Tensor Computations with Reinforcement Learning
Advanced compiler technology is crucial for enabling machine learning applications to run on novel hardware, but traditional compilers fail to deliver performance, popular auto-tuners have long search times and expert-optimized libraries introduce unsustainable costs.
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