Measurement and Analysis of GPU-Accelerated OpenCL Computations on Intel GPUs. - Aaron Cherian; Keren Zhou 001; Dejan Grubisic; Xiaozhu Meng; John M. Mellor-Crummey (ProTools@SC, 2021)

Measurement and analysis of GPU-accelerated applications with HPCToolkit. - Keren Zhou 001; Laksono Adhianto; Jonathon M. Anderson; Aaron Cherian; Dejan Grubisic; Mark Krentel; Yumeng Liu; Xiaozhu Meng; John M. Mellor-Crummey (Parallel Comput., 2021)

An Automated Tool for Analysis and Tuning of GPU-Accelerated Code in HPC Applications. - Keren Zhou 001; Xiaozhu Meng; Ryuichi Sai; Dejan Grubisic; John M. Mellor-Crummey (IEEE Trans. Parallel Distributed Syst., 2022)

LoopTune: Optimizing Tensor Computations with Reinforcement Learning. - Dejan Grubisic; Bram Wasti; Chris Cummins; John M. Mellor-Crummey; Aleksandar Zlateski (CoRR, 2023)

Large Language Models for Compiler Optimization. - Chris Cummins; Volker Seeker; Dejan Grubisic; Mostafa Elhoushi; Youwei Liang; Baptiste Rozière; Jonas Gehring; Fabian Gloeckle; Kim M. Hazelwood; Gabriel Synnaeve; Hugh Leather (CoRR, 2023)

Priority Sampling of Large Language Models for Compilers. - Dejan Grubisic; Volker Seeker; Gabriel Synnaeve; Hugh Leather; John M. Mellor-Crummey; Chris Cummins (EuroMLSys@EuroSys, 2024)

Priority Sampling of Large Language Models for Compilers. - Dejan Grubisic; Chris Cummins; Volker Seeker; Hugh Leather (CoRR, 2024)

Compiler generated feedback for Large Language Models. - Dejan Grubisic; Chris Cummins; Volker Seeker; Hugh Leather (CoRR, 2024)

Meta Large Language Model Compiler: Foundation Models of Compiler Optimization. - Chris Cummins; Volker Seeker; Dejan Grubisic; Baptiste Rozière; Jonas Gehring; Gabriel Synnaeve; Hugh Leather (CoRR, 2024)

LLM Compiler: Foundation Language Models for Compiler Optimization. - Chris Cummins; Volker Seeker; Dejan Grubisic; Baptiste Rozière; Jonas Gehring; Gabriel Synnaeve; Hugh Leather (CC, 2025)