no code implementations • 18 Mar 2024 • Dejan Grubisic, Chris Cummins, Volker Seeker, Hugh Leather
We introduce a novel paradigm in compiler optimization powered by Large Language Models with compiler feedback to optimize the code size of LLVM assembly.
no code implementations • 28 Feb 2024 • Dejan Grubisic, Chris Cummins, Volker Seeker, Hugh Leather
Large language models show great potential in generating and optimizing code.
no code implementations • 11 Sep 2023 • Chris Cummins, Volker Seeker, Dejan Grubisic, Mostafa Elhoushi, Youwei Liang, Baptiste Roziere, Jonas Gehring, Fabian Gloeckle, Kim Hazelwood, Gabriel Synnaeve, Hugh Leather
We explore the novel application of Large Language Models to code optimization.
no code implementations • 4 Sep 2023 • Dejan Grubisic, Bram Wasti, Chris Cummins, John Mellor-Crummey, Aleksandar Zlateski
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.