Iheb Nassim Aouadj

According to our database, Iheb Nassim Aouadj authored at least 6 papers between 2022 and 2026.

Collaborative distances:

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

2026

A Reinforcement Learning Environment for Automatic Code Optimization in the MLIR Compiler.

Mohammed Tirichine, Nassim Ameur, Nazim Bendib, Iheb Nassim Aouadj, Djad Bouchama, Rafik Bouloudene, Riyadh Baghdadi

Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2026

2025

Pearl: Automatic Code Optimization Using Deep Reinforcement Learning.

Djamel Rassem Lamouri, Iheb Nassim Aouadj, Smail Kourta, Riyadh Baghdadi

Proceedings of the 39th ACM International Conference on Supercomputing, 2025

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers.

Massinissa Merouani, Afif Boudaoud, Iheb Nassim Aouadj, Nassim Tchoulak, Islem Kara Bernou, Hamza Benyamina, Fatima Benbouzid-Si Tayeb, Karima Benatchba, Hugh Leather, Riyadh Baghdadi

Proceedings of the 34th International Conference on Parallel Architectures and Compilation Techniques, 2025

2024

A Reinforcement Learning Environment for Automatic Code Optimization in the MLIR Compiler.

Nazim Bendib, Iheb Nassim Aouadj, Riyadh Baghdadi

CoRR, 2024

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers.

Massinissa Merouani, Khaled Afif Boudaoud, Iheb Nassim Aouadj, Nassim Tchoulak, Islem Kara Bernou, Hamza Benyamina, Fatima Benbouzid-Si Tayeb, Karima Benatchba, Hugh Leather, Riyadh Baghdadi

CoRR, 2024

2022

Progress Report: A Deep Learning Guided Exploration of Affine Unimodular Loop Transformations.

Massinissa Merouani, Khaled Afif Boudaoud, Iheb Nassim Aouadj, Nassim Tchoulak, Fatima Benbouzid-Sitayeb, Karima Benatchba, Hugh Leather, Riyadh Baghdadi

CoRR, 2022