Dejan Grubisic

According to our database, Dejan Grubisic authored at least 9 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Compiler generated feedback for Large Language Models.

Dejan Grubisic, Chris Cummins, Volker Seeker, Hugh Leather

CoRR, 2024

Priority Sampling of Large Language Models for Compilers.

Dejan Grubisic, Chris Cummins, Volker Seeker, Hugh Leather

CoRR, 2024

Priority Sampling of Large Language Models for Compilers.

Dejan Grubisic, Volker Seeker, Gabriel Synnaeve, Hugh Leather, John M. Mellor-Crummey, Chris Cummins

Proceedings of the 4th Workshop on Machine Learning and Systems, 2024

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

LoopTune: Optimizing Tensor Computations with Reinforcement Learning.

Dejan Grubisic, Bram Wasti, Chris Cummins, John M. Mellor-Crummey, Aleksandar Zlateski

CoRR, 2023

2022

An Automated Tool for Analysis and Tuning of GPU-Accelerated Code in HPC Applications.

Keren Zhou, Xiaozhu Meng, Ryuichi Sai, Dejan Grubisic, John M. Mellor-Crummey

IEEE Trans. Parallel Distributed Syst., 2022

2021

Measurement and analysis of GPU-accelerated applications with HPCToolkit.

Keren Zhou, Laksono Adhianto, Jonathon M. Anderson, Aaron Cherian, Dejan Grubisic, Mark Krentel, Yumeng Liu, Xiaozhu Meng, John M. Mellor-Crummey

Parallel Comput., 2021

Measurement and Analysis of GPU-Accelerated OpenCL Computations on Intel GPUs.

Aaron Cherian, Keren Zhou, Dejan Grubisic, Xiaozhu Meng, John M. Mellor-Crummey

Proceedings of the IEEE/ACM International Workshop on Programming and Performance Visualization Tools, 2021