26 citations · 31 across the 4 of their papers we have counts for
4 papers
Agentic Auto-Scheduling: An Experimental Study of LLM-Guided Loop Optimization
Massinissa Merouani, Islem Kara Bernou, Riyadh Baghdadi
Automatic code optimization remains a difficult challenge, particularly for complex loop nests on modern hardware. This paper investigates a novel approach to code optimization whe…
LOOPerSet: A Large-Scale Dataset for Data-Driven Polyhedral Compiler Optimization
Massinissa Merouani, Afif Boudaoud, Riyadh Baghdadi
The advancement of machine learning for compiler optimization, particularly within the polyhedral model, is constrained by the scarcity of large-scale, public performance datasets.…
LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers
Massinissa Merouani, Afif Boudaoud, Iheb Nassim Aouadj +7
While polyhedral compilers have shown success in implementing advanced code transformations, they still face challenges in selecting the ones that lead to the most profitable speed…
A Deep Learning Based Cost Model for Automatic Code Optimization
Riyadh Baghdadi, Massinissa Merouani, Mohamed-Hicham Leghettas +4
Enabling compilers to automatically optimize code has been a longstanding goal for the compiler community. Efficiently solving this problem requires using precise cost models. Thes…