Search Results for author: Alexander Brauckmann

Found 2 papers, 0 papers with code

mlirSynth: Automatic, Retargetable Program Raising in Multi-Level IR using Program Synthesis

no code implementations6 Oct 2023 Alexander Brauckmann, Elizabeth Polgreen, Tobias Grosser, Michael F. P. O'Boyle

MLIR is an emerging compiler infrastructure for modern hardware, but existing programs cannot take advantage of MLIR's high-performance compilation if they are described in lower-level general purpose languages.

Program Synthesis

A Reinforcement Learning Environment for Polyhedral Optimizations

no code implementations28 Apr 2021 Alexander Brauckmann, Andrés Goens, Jeronimo Castrillon

Existing problem formulations in state-of-the-art heuristics depend on the shape of particular loops, making it hard to leverage generic and more powerful optimization techniques from the machine learning domain.

BIG-bench Machine Learning reinforcement-learning +1

Cannot find the paper you are looking for? You can Submit a new open access paper.