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ORCIDRiyadh Baghdadi
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2020 – today
- 2024
[c14]Marwa Naïr, Kamel Mohammed Yamani, Lynda Said L'Hadj, Riyadh Baghdadi:
Curriculum Learning for Small Code Language Models. ACL (Student Research Workshop) 2024: 531-542- [c13]Mohammed Tirichine, Nassim Ameur, Younes Boukacem, Hatem M. Abdelmoumen, Hodhaifa Benouaklil, Samy Ghebache, Boualem Hamroune, Malika Bessedik, Fatima Benbouzid-Si Tayeb, Riyadh Baghdadi:
SPACED: A Novel Deep Learning Method for Community Detection in Social Networks. WEBIST 2024: 141-152 - [i17]Kamel Mohammed Yamani, Marwa Nair, Riyadh Baghdadi:
Automatic Generation of Python Programs Using Context-Free Grammars. CoRR abs/2403.06503 (2024) - [i16]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:
LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers. CoRR abs/2403.11522 (2024) - [i15]Aymene Berriche, Mehdi Zakaria Adjal, Riyadh Baghdadi:
Leveraging High-Resolution Features for Improved Deep Hashing-based Image Retrieval. CoRR abs/2403.13747 (2024) - [i14]Marwa Nair, Kamel Mohammed Yamani, Lynda Said L'Hadj, Riyadh Baghdadi:
Curriculum Learning for Small Code Language Models. CoRR abs/2407.10194 (2024) - [i13]Inas Bachiri, Hadjer Benmeziane, Smaïl Niar, Riyadh Baghdadi, Hamza Ouarnoughi, Abdelkrime Aries:
Combining Neural Architecture Search and Automatic Code Optimization: A Survey. CoRR abs/2408.04116 (2024) - [i12]Nazim Bendib, Iheb Nassim Aouadj, Riyadh Baghdadi:
A Reinforcement Learning Environment for Automatic Code Optimization in the MLIR Compiler. CoRR abs/2409.11068 (2024) - [i11]Phil Wee, Riyadh Baghdadi:
Exploring the Knowledge Mismatch Hypothesis: Hallucination Propensity in Small Models Fine-tuned on Data from Larger Models. CoRR abs/2411.00878 (2024) - 2023
- [j6]Yacine Hakimi, Riyadh Baghdadi, Yacine Challal:
A Hybrid Machine Learning Model for Code Optimization. Int. J. Parallel Program. 51(6): 309-331 (2023) - [c12]Lina Mezdour, Khadidja Kadem
, Massinissa Merouani, Amina Selma Haichour, Saman P. Amarasinghe, Riyadh Baghdadi:
A Deep Learning Model for Loop Interchange. CC 2023: 50-60 - [d1]Lina Mezdour, Khadidja Kadem, Massinissa Merouani, Amina Selma Haichour, Saman P. Amarasinghe, Riyadh Baghdadi:
A Deep Learning Model for Loop Interchange: Paper Artifact. Zenodo, 2023
- [i10]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 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:
Perception, performance, and detectability of conversational artificial intelligence across 32 university courses. CoRR abs/2305.13934 (2023) - 2022
- [c11]Cheng Fu, Hanxian Huang, Bram Wasti, Chris Cummins, Riyadh Baghdadi, Kim M. Hazelwood, Yuandong Tian, Jishen Zhao, Hugh Leather:
Q-gym: An Equality Saturation Framework for DNN Inference Exploiting Weight Repetition. PACT 2022: 291-303 - [c10]Smail Kourta, Adel Abderahmane Namani, Fatima Benbouzid-Si Tayeb, Kim M. Hazelwood, Chris Cummins, Hugh Leather, Riyadh Baghdadi:
Caviar: an e-graph based TRS for automatic code optimization. CC 2022: 54-64 - [c9]Nesrine Touafek, Fatima Benbouzid-Si Tayeb, Asma Ladj, Alaeddine Dahamni, Riyadh Baghdadi:
An Integrated Artificial Bee Colony Algorithm for Scheduling Jobs and Flexible Maintenance with Learning and Deteriorating Effects. ICCCI 2022: 647-659 - [c8]Nesrine Touafek, Asma Ladj, Fatima Benbouzid-Si Tayeb, Alaeddine Dahamni, Riyadh Baghdadi:
Permutation Flowshop Scheduling Problem Considering Learning, Deteriorating Effects and Flexible Maintenance. KES 2022: 2518-2525 - [i9]Massinissa Merouani, Khaled Afif Boudaoud, Iheb Nassim Aouadj, Nassim Tchoulak, Fatima Benbouzid-Sitayeb, Karima Benatchba, Hugh Leather, Riyadh Baghdadi:
Progress Report: A Deep Learning Guided Exploration of Affine Unimodular Loop Transformations. CoRR abs/2206.03684 (2022) - 2021
- [j5]Shail Dave, Riyadh Baghdadi, Tony Nowatzki, Sasikanth Avancha, Aviral Shrivastava, Baoxin Li:
Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights. Proc. IEEE 109(10): 1706-1752 (2021) - [c7]Riyadh Baghdadi, Massinissa Merouani, Mohamed-Hicham Leghettas, Kamel Abdous, Taha Arbaoui, Karima Benatchba, Saman P. Amarasinghe:
A Deep Learning Based Cost Model for Automatic Code Optimization. MLSys 2021 - [i8]Riyadh Baghdadi, Massinissa Merouani, Mohamed-Hicham Leghettas, Kamel Abdous, Taha Arbaoui, Karima Benatchba, Saman P. Amarasinghe:
A Deep Learning Based Cost Model for Automatic Code Optimization. CoRR abs/2104.04955 (2021) - [i7]Smail Kourta, Adel Namani, Fatima Benbouzid-Si Tayeb, Kim M. Hazelwood, Chris Cummins, Hugh Leather, Riyadh Baghdadi:
Caviar: An E-graph Based TRS for Automatic Code Optimization. CoRR abs/2111.12116 (2021) - 2020
- [c6]Lorenzo Di Tucci, Riyadh Baghdadi, Saman P. Amarasinghe, Marco D. Santambrogio:
SALSA: A Domain Specific Architecture for Sequence Alignment. IPDPS Workshops 2020: 147-150 - [i6]Riyadh Baghdadi, Abdelkader Nadir Debbagh, Kamel Abdous, Fatima-Zohra Benhamida, Alex Renda, Jonathan Elliott Frankle, Michael Carbin, Saman P. Amarasinghe:
TIRAMISU: A Polyhedral Compiler for Dense and Sparse Deep Learning. CoRR abs/2005.04091 (2020) - [i5]Shail Dave, Riyadh Baghdadi, Tony Nowatzki, Sasikanth Avancha, Aviral Shrivastava, Baoxin Li:
Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights. CoRR abs/2007.00864 (2020)
2010 – 2019
- 2019
- [j4]Ariya Shajii, Ibrahim Numanagic, Riyadh Baghdadi, Bonnie Berger, Saman P. Amarasinghe:
Seq: a high-performance language for bioinformatics. Proc. ACM Program. Lang. 3(OOPSLA): 125:1-125:29 (2019) - [j3]Andrew Adams, Karima Ma, Luke Anderson, Riyadh Baghdadi, Tzu-Mao Li, Michaël Gharbi, Benoit Steiner, Steven Johnson, Kayvon Fatahalian, Frédo Durand, Jonathan Ragan-Kelley:
Learning to optimize halide with tree search and random programs. ACM Trans. Graph. 38(4): 121:1-121:12 (2019) - [c5]Riyadh Baghdadi, Jessica Ray, Malek Ben Romdhane, Emanuele Del Sozzo, Abdurrahman Akkas, Yunming Zhang, Patricia Suriana, Shoaib Kamil, Saman P. Amarasinghe:
Tiramisu: A Polyhedral Compiler for Expressing Fast and Portable Code. CGO 2019: 193-205 - 2018
- [j2]Yunming Zhang, Mengjiao Yang, Riyadh Baghdadi, Shoaib Kamil, Julian Shun, Saman P. Amarasinghe:
GraphIt: a high-performance graph DSL. Proc. ACM Program. Lang. 2(OOPSLA): 121:1-121:30 (2018) - [c4]Emanuele Del Sozzo, Riyadh Baghdadi, Saman P. Amarasinghe, Marco D. Santambrogio:
A Unified Backend for Targeting FPGAs from DSLs. ASAP 2018: 1-8 - [i4]Riyadh Baghdadi, Jessica Ray, Malek Ben Romdhane, Emanuele Del Sozzo, Abdurrahman Akkas, Yunming Zhang, Patricia Suriana, Shoaib Kamil, Saman P. Amarasinghe:
Tiramisu: A Polyhedral Compiler for Expressing Fast and Portable Code. CoRR abs/1804.10694 (2018) - [i3]Yunming Zhang, Mengjiao Yang, Riyadh Baghdadi, Shoaib Kamil, Julian Shun, Saman P. Amarasinghe:
GraphIt - A High-Performance DSL for Graph Analytics. CoRR abs/1805.00923 (2018) - 2017
- [c3]Emanuele Del Sozzo, Riyadh Baghdadi, Saman P. Amarasinghe, Marco D. Santambrogio:
A Common Backend for Hardware Acceleration on FPGA. ICCD 2017: 427-430 - 2015
- [c2]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:
PENCIL: A Platform-Neutral Compute Intermediate Language for Accelerator Programming. PACT 2015: 138-149 - 2014
- [c1]Ulysse Beaugnon, Alexey Kravets, Sven van Haastregt, Riyadh Baghdadi, David Tweed, Javed Absar, Anton Lokhmotov:
VOBLA: a vehicle for optimized basic linear algebra. LCTES 2014: 115-124 - 2013
- [j1]Riyadh Baghdadi, Albert Cohen, Sven Verdoolaege, Konrad Trifunovic:
Improved loop tiling based on the removal of spurious false dependences. ACM Trans. Archit. Code Optim. 9(4): 52:1-52:26 (2013) - [i2]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:
PENCIL: Towards a Platform-Neutral Compute Intermediate Language for DSLs. CoRR abs/1302.5586 (2013) - 2011
- [i1]Riyadh Baghdadi, Albert Cohen, Cédric Bastoul, Louis-Noël Pouchet, Lawrence Rauchwerger:
The Potential of Synergistic Static, Dynamic and Speculative Loop Nest Optimizations for Automatic Parallelization. CoRR abs/1111.6756 (2011)
Coauthor Index
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