Riyadh Baghdadi

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 27

Top Topics

Scheduling Jobs

Top Venues

Proc. ACM Program. Lang.

Publications

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 (2024)
Kamel Mohammed Yamani, Marwa Nair, Riyadh Baghdadi
Automatic Generation of Python Programs Using Context-Free Grammars. CoRR (2024)
Aymene Berriche, Mehdi Zakaria Adjal, Riyadh Baghdadi
Leveraging High-Resolution Features for Improved Deep Hashing-based Image Retrieval. CoRR (2024)
Marwa Nair, Kamel Mohammed Yamani, Lynda Said L'Hadj, Riyadh Baghdadi
Curriculum Learning for Small Code Language Models. CoRR (2024)
Yacine Hakimi, Riyadh Baghdadi, Yacine Challal
A Hybrid Machine Learning Model for Code Optimization. Int. J. Parallel Program. 51 (6) (2023)
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 (2023)
Lina Mezdour, Khadidja Kadem, Massinissa Merouani, Amina Selma Haichour, Saman P. Amarasinghe, Riyadh Baghdadi
A Deep Learning Model for Loop Interchange. CC (2023)
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 (2022)
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)
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)
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)
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)
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)
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 (2021)
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) (2021)
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 (2021)
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 (2020)
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 (2020)
Lorenzo Di Tucci, Riyadh Baghdadi, Saman P. Amarasinghe, Marco D. Santambrogio
SALSA: A Domain Specific Architecture for Sequence Alignment. IPDPS Workshops (2020)
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)
Ariya Shajii, Ibrahim Numanagic, Riyadh Baghdadi, Bonnie Berger, Saman P. Amarasinghe
Seq: a high-performance language for bioinformatics. Proc. ACM Program. Lang. 3 (OOPSLA) (2019)
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) (2019)
Emanuele Del Sozzo, Riyadh Baghdadi, Saman P. Amarasinghe, Marco D. Santambrogio
A Unified Backend for Targeting FPGAs from DSLs. ASAP (2018)
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 (2018)
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) (2018)
Yunming Zhang, Mengjiao Yang, Riyadh Baghdadi, Shoaib Kamil, Julian Shun, Saman P. Amarasinghe
GraphIt - A High-Performance DSL for Graph Analytics. CoRR (2018)
Emanuele Del Sozzo, Riyadh Baghdadi, Saman P. Amarasinghe, Marco D. Santambrogio
A Common Backend for Hardware Acceleration on FPGA. ICCD (2017)
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)
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)
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 (2013)
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) (2013)
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 (2011)