Sep 17, 2024 · In this project, we introduce the first RL environment for the MLIR compiler, dedicated to facilitating MLIR compiler research, and enabling automatic code ...
Sep 17, 2024 · We introduce the first RL environment for the MLIR compiler, dedicated to facilitating MLIR compiler research, and enabling automatic code optimization.
Sep 17, 2024 · In this project, we introduce the first RL environment for the MLIR compiler, dedicated to facilitating MLIR compiler research, and enabling automatic code ...
Jul 6, 2024 · We present an RL-based solution for optimizing code within the Multi-Level Intermediate Representation (MLIR) compiler, which enhances the ...
Sep 17, 2024 · The environment allows reinforcement learning agents to interact with the MLIR compiler and learn how to optimize code. The goal is to enable ...
In this project, we introduce the first RL environment for the MLIR compiler, dedicated to facilitating MLIR compiler research, and enabling automatic code ...
A Reinforcement Learning Environment for Automatic Code Optimization in the MLIR Compiler. N Bendib, IN Aouadj, R Baghdadi. arXiv preprint arXiv:2409.11068 ...
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SuperSonic is a new open-source framework to allow compiler developers to integrate RL into compilers easily, regardless of their RL expertise, ...
A curated list of awesome research papers, datasets, and tools for applying machine learning techniques to compilers and program optimisation.
Mar 18, 2022 · This paper introduces SuperSonic, a new open-source framework to allow compiler developers to integrate RL into compilers easily, regardless of their RL ...