2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.LG2024★ 2 cited
A Reinforcement Learning Environment for Automatic Code Optimization in the MLIR Compiler
Mohammed Tirichine, Nassim Ameur, Nazim Bendib +4
Code optimization is a crucial task that aims to enhance code performance. However, this process is often tedious and complex, highlighting the necessity for automatic code optimiz…
cs.PL2022★ 1 cited
Progress Report: A Deep Learning Guided Exploration of Affine Unimodular Loop Transformations
Massinissa Merouani, Khaled Afif Boudaoud, Iheb Nassim Aouadj +5
In this paper, we present a work in progress about a deep learning based approach for automatic code optimization in polyhedral compilers. The proposed technique explores combinati…