Riyadh Baghdadi

61 papers A 5B 11C 3Journal 35Unranked 7
YearRankTypeTitle / Venue / Authors
2026 A conf
A Reinforcement Learning Environment for Automatic Code Optimization in the MLIR Compiler.
CGO
Mohammed Tirichine, Nassim Ameur, Nazim Bendib, Iheb Nassim Aouadj, Djad Bouchama, Rafik Bouloudene, Riyadh Baghdadi
2026 — conf
CHEHAB RL: Learning to Optimize Fully Homomorphic Encryption Computations.
ASPLOS (2)
Bilel Sefsaf, Abderraouf Dandani, Abdessamed Seddiki, Arab Mohammed, Eduardo Chielle, Michail Maniatakos, Riyadh Baghdadi
2026 J jnl
CHEHAB RL: Learning to Optimize Fully Homomorphic Encryption Computations.
CoRR
Bilel Sefsaf, Abderraouf Dandani, Abdessamed Seddiki, Arab Mohammed, Eduardo Chielle, Michail Maniatakos, Riyadh Baghdadi
2026 B conf
CHEHAB: Automatic Compiler Code Optimization for Fully Homomorphic Encryption.
CC
Abdessamed Seddiki, Arab Mohammed, Zakaria Hebbal, Aimad Chabounia, Eduardo Chielle, Karima Benatchba, Challal Yacine, Djamel Eddine Menacer, Michail Maniatakos, Riyadh Baghdadi
2026 A conf
Dependence-Driven, Scalable Quantum Circuit Mapping with Affine Abstractions.
CGO
Marouane Benbetka, Merwan Bekkar, Riyadh Baghdadi, Martin Kong
2026 J jnl
Neural Architecture Search and Automatic Code Optimization: Techniques, trends, and challenges.
J. Syst. Archit.
Inas Bachiri, Smaïl Niar, Riyadh Baghdadi, Hamza Ouarnoughi
2025 J jnl
A Data-driven Analysis of Code Optimizations.
CoRR
Yacine Hakimi, Riyadh Baghdadi
2025 J jnl
A Deep Learning Model for Predicting Transformation Legality.
CoRR
Avani Tiwari, Yacine Hakimi, Riyadh Baghdadi
2025 B conf
Agentic Auto-Scheduling: An Experimental Study of LLM-Guided Loop Optimization.
PACT
Massinissa Merouani, Islem Kara Bernou, Riyadh Baghdadi
2025 J jnl
Agentic Auto-Scheduling: An Experimental Study of LLM-Guided Loop Optimization.
CoRR
Massinissa Merouani, Islem Kara Bernou, Riyadh Baghdadi
2025 B conf
Data-Efficient Performance Modeling via Pre-training.
CC
Chunting Liu, Riyadh Baghdadi
2025 J jnl
Data-efficient Performance Modeling via Pre-training.
CoRR
Chunting Liu, Riyadh Baghdadi
2025 J jnl
Dependence-Driven, Scalable Quantum Circuit Mapping with Affine Abstractions.
CoRR
Marouane Benbetka, Merwan Bekkar, Riyadh Baghdadi, Martin Kong
2025 B conf
LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers.
PACT
Massinissa Merouani, Afif Boudaoud, Iheb Nassim Aouadj, Nassim Tchoulak, Islem Kara Bernou, Hamza Benyamina, Fatima Benbouzid-Si Tayeb, Karima Benatchba, Hugh Leather, Riyadh Baghdadi
2025 J jnl
LOOPerSet: A Large-Scale Dataset for Data-Driven Polyhedral Compiler Optimization.
CoRR
Massinissa Merouani, Afif Boudaoud, Riyadh Baghdadi
2025 — conf
Leveraging High-Resolution Features for Improved Deep Hashing-Based Image Retrieval.
ECIR (2)
Aymene Berriche, Mehdi Zakaria Adjal, Riyadh Baghdadi
2025 — conf
Lightening Encrypted Convolutions: A GPU-Optimized Approach to Private Inference.
CNS
Menatallah Fadoua Slama, Hiba Guerrouache, Yacine Challal, Karima Benatchba, Riyadh Baghdadi
2025 A conf
Neural Architecture Search with Mixed Bio-Inspired Learning Rules.
ECAI
Imane Hamzaoui, Riyadh Baghdadi
2025 J jnl
Neural Architecture Search with Mixed Bio-inspired Learning Rules.
CoRR
Imane Hamzaoui, Riyadh Baghdadi
2025 A conf
Pearl: Automatic Code Optimization Using Deep Reinforcement Learning.
ICS
Djamel Rassem Lamouri, Iheb Nassim Aouadj, Smail Kourta, Riyadh Baghdadi
2025 J jnl
Pearl: Automatic Code Optimization Using Deep Reinforcement Learning.
CoRR
Djamel Rassem Lamouri, Iheb Nassim Aouadj, Smail Kourta, Riyadh Baghdadi
2025 J jnl
Sign-Symmetry Learning Rules are Robust Fine-Tuners.
CoRR
Aymene Berriche, Mehdi Zakaria Adjal, Riyadh Baghdadi
2025 J jnl
Supporting Dynamic Program Sizes in Deep Learning-Based Cost Models for Code Optimization.
ACM Trans. Archit. Code Optim.
Yacine Hakimi, Riyadh Baghdadi, Yacine Challal
2024 J jnl
A Reinforcement Learning Environment for Automatic Code Optimization in the MLIR Compiler.
CoRR
Nazim Bendib, Iheb Nassim Aouadj, Riyadh Baghdadi
2024 J jnl
Automatic Generation of Python Programs Using Context-Free Grammars.
CoRR
Kamel Mohammed Yamani, Marwa Nair, Riyadh Baghdadi
2024 J jnl
Combining Neural Architecture Search and Automatic Code Optimization: A Survey.
CoRR
Inas Bachiri, Hadjer Benmeziane, Smaïl Niar, Riyadh Baghdadi, Hamza Ouarnoughi, Abdelkrime Aries
2024 — conf
Curriculum Learning for Small Code Language Models.
ACL (Student Research Workshop)
Marwa Naïr, Kamel Mohammed Yamani, Lynda Said L'Hadj, Riyadh Baghdadi
2024 J jnl
Curriculum Learning for Small Code Language Models.
CoRR
Marwa Nair, Kamel Mohammed Yamani, Lynda Said L'Hadj, Riyadh Baghdadi
2024 C conf
Exploring the Knowledge Mismatch Hypothesis: Hallucination Propensity in Small Models Fine-tuned on Data from Larger Models.
BDCAT
Phil Wee, Riyadh Baghdadi
2024 J jnl
Exploring the Knowledge Mismatch Hypothesis: Hallucination Propensity in Small Models Fine-tuned on Data from Larger Models.
CoRR
Phil Wee, Riyadh Baghdadi
2024 J jnl
LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers.
CoRR
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
2024 J jnl
Leveraging High-Resolution Features for Improved Deep Hashing-based Image Retrieval.
CoRR
Aymene Berriche, Mehdi Zakaria Adjal, Riyadh Baghdadi
2024 C conf
SPACED: A Novel Deep Learning Method for Community Detection in Social Networks.
WEBIST
Mohammed Tirichine, Nassim Ameur, Younes Boukacem, Hatem M. Abdelmoumen, Hodhaifa Benouaklil, Samy Ghebache, Boualem Hamroune, Malika Bessedik, Fatima Benbouzid-Si Tayeb, Riyadh Baghdadi
2023 B conf
A Deep Learning Model for Loop Interchange.
CC
Lina Mezdour, Khadidja Kadem, Massinissa Merouani, Amina Selma Haichour, Saman P. Amarasinghe, Riyadh Baghdadi
2023 J jnl
A Hybrid Machine Learning Model for Code Optimization.
Int. J. Parallel Program.
Yacine Hakimi, Riyadh Baghdadi, Yacine Challal
2023 J jnl
Perception, performance, and detectability of conversational artificial intelligence across 32 university courses.
CoRR
Hazem Ibrahim, Fengyuan Liu, Rohail Asim, Balaraju Battu, Sidahmed Benabderrahmane, Bashar Alhafni, Wifag Adnan, Tuka Alhanai, Bedoor K. AlShebli, Riyadh Baghdadi, Jocelyn J. Bélanger, Elena Beretta, Kemal Celik, Moumena Chaqfeh, Mohammed F. Daqaq, Zaynab El Bernoussi, Daryl Fougnie, Borja Garcia de Soto, Alberto Gandolfi, András György, Nizar Habash, J. Andrew Harris, Aaron R. Kaufman, Lefteris Kirousis, Korhan Kocak, Kangsan Lee, Seungah S. Lee, Samreen Malik, Michail Maniatakos, David Melcher, Azzam Mourad, Minsu Park, Mahmoud Rasras, Alicja Reuben, Dania Zantout, Nancy W. Gleason, Kinga Makovi, Talal Rahwan, Yasir Zaki
2022 B conf
An Integrated Artificial Bee Colony Algorithm for Scheduling Jobs and Flexible Maintenance with Learning and Deteriorating Effects.
ICCCI
Nesrine Touafek, Fatima Benbouzid-Si Tayeb, Asma Ladj, Alaeddine Dahamni, Riyadh Baghdadi
2022 B conf
Caviar: an e-graph based TRS for automatic code optimization.
CC
Smail Kourta, Adel Abderahmane Namani, Fatima Benbouzid-Si Tayeb, Kim M. Hazelwood, Chris Cummins, Hugh Leather, Riyadh Baghdadi
2022 B conf
Permutation Flowshop Scheduling Problem Considering Learning, Deteriorating Effects and Flexible Maintenance.
KES
Nesrine Touafek, Asma Ladj, Fatima Benbouzid-Si Tayeb, Alaeddine Dahamni, Riyadh Baghdadi
2022 J jnl
Progress Report: A Deep Learning Guided Exploration of Affine Unimodular Loop Transformations.
CoRR
Massinissa Merouani, Khaled Afif Boudaoud, Iheb Nassim Aouadj, Nassim Tchoulak, Fatima Benbouzid-Sitayeb, Karima Benatchba, Hugh Leather, Riyadh Baghdadi
2022 B conf
Q-gym: An Equality Saturation Framework for DNN Inference Exploiting Weight Repetition.
PACT
Cheng Fu, Hanxian Huang, Bram Wasti, Chris Cummins, Riyadh Baghdadi, Kim M. Hazelwood, Yuandong Tian, Jishen Zhao, Hugh Leather
2021 — conf
A Deep Learning Based Cost Model for Automatic Code Optimization.
MLSys
Riyadh Baghdadi, Massinissa Merouani, Mohamed-Hicham Leghettas, Kamel Abdous, Taha Arbaoui, Karima Benatchba, Saman P. Amarasinghe
2021 J jnl
A Deep Learning Based Cost Model for Automatic Code Optimization.
CoRR
Riyadh Baghdadi, Massinissa Merouani, Mohamed-Hicham Leghettas, Kamel Abdous, Taha Arbaoui, Karima Benatchba, Saman P. Amarasinghe
2021 J jnl
Caviar: An E-graph Based TRS for Automatic Code Optimization.
CoRR
Smail Kourta, Adel Namani, Fatima Benbouzid-Si Tayeb, Kim M. Hazelwood, Chris Cummins, Hugh Leather, Riyadh Baghdadi
2021 J jnl
Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights.
Proc. IEEE
Shail Dave, Riyadh Baghdadi, Tony Nowatzki, Sasikanth Avancha, Aviral Shrivastava, Baoxin Li
2020 J jnl
Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights.
CoRR
Shail Dave, Riyadh Baghdadi, Tony Nowatzki, Sasikanth Avancha, Aviral Shrivastava, Baoxin Li
2020 — conf
SALSA: A Domain Specific Architecture for Sequence Alignment.
IPDPS Workshops
Lorenzo Di Tucci, Riyadh Baghdadi, Saman P. Amarasinghe, Marco D. Santambrogio
2020 J jnl
TIRAMISU: A Polyhedral Compiler for Dense and Sparse Deep Learning.
CoRR
Riyadh Baghdadi, Abdelkader Nadir Debbagh, Kamel Abdous, Fatima-Zohra Benhamida, Alex Renda, Jonathan Elliott Frankle, Michael Carbin, Saman P. Amarasinghe
2019 J jnl
Learning to optimize halide with tree search and random programs.
ACM Trans. Graph.
Andrew Adams, Karima Ma, Luke Anderson, Riyadh Baghdadi, Tzu-Mao Li, Michaël Gharbi, Benoit Steiner, Steven Johnson, Kayvon Fatahalian, Frédo Durand, Jonathan Ragan-Kelley
2019 J jnl
Seq: a high-performance language for bioinformatics.
Proc. ACM Program. Lang.
Ariya Shajii, Ibrahim Numanagic, Riyadh Baghdadi, Bonnie Berger, Saman P. Amarasinghe
2019 A conf
Tiramisu: A Polyhedral Compiler for Expressing Fast and Portable Code.
CGO
Riyadh Baghdadi, Jessica Ray, Malek Ben Romdhane, Emanuele Del Sozzo, Abdurrahman Akkas, Yunming Zhang, Patricia Suriana, Shoaib Kamil, Saman P. Amarasinghe
2018 — conf
A Unified Backend for Targeting FPGAs from DSLs.
ASAP
Emanuele Del Sozzo, Riyadh Baghdadi, Saman P. Amarasinghe, Marco D. Santambrogio
2018 J jnl
GraphIt - A High-Performance DSL for Graph Analytics.
CoRR
Yunming Zhang, Mengjiao Yang, Riyadh Baghdadi, Shoaib Kamil, Julian Shun, Saman P. Amarasinghe
2018 J jnl
GraphIt: a high-performance graph DSL.
Proc. ACM Program. Lang.
Yunming Zhang, Mengjiao Yang, Riyadh Baghdadi, Shoaib Kamil, Julian Shun, Saman P. Amarasinghe
2018 J jnl
Tiramisu: A Polyhedral Compiler for Expressing Fast and Portable Code.
CoRR
Riyadh Baghdadi, Jessica Ray, Malek Ben Romdhane, Emanuele Del Sozzo, Abdurrahman Akkas, Yunming Zhang, Patricia Suriana, Shoaib Kamil, Saman P. Amarasinghe
2017 C conf
A Common Backend for Hardware Acceleration on FPGA.
ICCD
Emanuele Del Sozzo, Riyadh Baghdadi, Saman P. Amarasinghe, Marco D. Santambrogio
2015 B conf
PENCIL: A Platform-Neutral Compute Intermediate Language for Accelerator Programming.
PACT
Riyadh Baghdadi, Ulysse Beaugnon, Albert Cohen, Tobias Grosser, Michael Kruse, Chandan Reddy, Sven Verdoolaege, Adam Betts, Alastair F. Donaldson, Jeroen Ketema, Javed Absar, Sven van Haastregt, Alexey Kravets, Anton Lokhmotov, Robert David, Elnar Hajiyev
2014 B conf
VOBLA: a vehicle for optimized basic linear algebra.
LCTES
Ulysse Beaugnon, Alexey Kravets, Sven van Haastregt, Riyadh Baghdadi, David Tweed, Javed Absar, Anton Lokhmotov
2013 J jnl
Improved loop tiling based on the removal of spurious false dependences.
ACM Trans. Archit. Code Optim.
Riyadh Baghdadi, Albert Cohen, Sven Verdoolaege, Konrad Trifunovic
2013 J jnl
PENCIL: Towards a Platform-Neutral Compute Intermediate Language for DSLs
CoRR
Riyadh Baghdadi, Albert Cohen, Serge Guelton, Sven Verdoolaege, Jun Inoue, Tobias Grosser, Georgia Kouveli, Alexey Kravets, Anton Lokhmotov, Cedric Nugteren, Fraser Waters, Alastair F. Donaldson
2011 J jnl
The Potential of Synergistic Static, Dynamic and Speculative Loop Nest Optimizations for Automatic Parallelization
CoRR
Riyadh Baghdadi, Albert Cohen, Cédric Bastoul, Louis-Noël Pouchet, Lawrence Rauchwerger