Riyadh Baghdadi
Riyadh Baghdadi
Assistant Professor (New York University Abu Dhabi), Research Affiliate (MIT)
Verified email at - Homepage
Cited by
Cited by
Tiramisu: A polyhedral compiler for expressing fast and portable code
R Baghdadi, J Ray, MB Romdhane, E Del Sozzo, A Akkas, Y Zhang, ...
2019 IEEE/ACM International Symposium on Code Generation and Optimization …, 2019
Learning to optimize halide with tree search and random programs
A Adams, K Ma, L Anderson, R Baghdadi, TM Li, M Gharbi, B Steiner, ...
ACM Transactions on Graphics (TOG) 38 (4), 1-12, 2019
Pencil: A platform-neutral compute intermediate language for accelerator programming
R Baghdadi, U Beaugnon, A Cohen, T Grosser, M Kruse, C Reddy, ...
2015 International Conference on Parallel Architecture and Compilation (PACT …, 2015
Graphit: A high-performance graph dsl
Y Zhang, M Yang, R Baghdadi, S Kamil, J Shun, S Amarasinghe
Proceedings of the ACM on Programming Languages 2 (OOPSLA), 1-30, 2018
A Deep Learning Based Cost Model for Automatic Code Optimization
R Baghdadi, M Merouani, MH Leghettas, K Abdous, T Arbaoui, ...
Proceedings of the Fourth Conference on Machine Learning and Systems 3, 2021
A common backend for hardware acceleration on FPGA
E Del Sozzo, R Baghdadi, S Amarasinghe, MD Santambrogio
2017 IEEE International Conference on Computer Design (ICCD), 427-430, 2017
VOBLA: A vehicle for optimized basic linear algebra
U Beaugnon, A Kravets, S Van Haastregt, R Baghdadi, D Tweed, J Absar, ...
Proceedings of the 2014 SIGPLAN/SIGBED conference on Languages, compilers …, 2014
Improved loop tiling based on the removal of spurious false dependences
R Baghdadi, A Cohen, S Verdoolaege, K Trifunović
ACM Transactions on Architecture and Code Optimization (TACO) 9 (4), 1-26, 2013
Hardware acceleration of sparse and irregular tensor computations of ml models: A survey and insights
S Dave, R Baghdadi, T Nowatzki, S Avancha, A Shrivastava, B Li
Proceedings of the IEEE 109 (10), 1706-1752, 2021
PENCIL Language Specification
R Baghdadi, A Cohen, T Grosser, S Verdoolaege, J Absar, ...
INRIA, 2015
PENCIL: Towards a platform-neutral compute intermediate language for DSLs
R Baghdadi, A Cohen, S Guelton, S Verdoolaege, J Inoue, T Grosser, ...
arXiv preprint arXiv:1302.5586, 2013
GraphIt: A high-performance DSL for graph analytics
Y Zhang, M Yang, R Baghdadi, S Kamil, J Shun, S Amarasinghe
arXiv preprint arXiv:1805.00923, 2018
A unified backend for targeting FPGAs from DSLs
E Del Sozzo, R Baghdadi, S Amarasinghe, MD Santambrogio
2018 IEEE 29th International Conference on Application-specific Systems …, 2018
Seq: a high-performance language for bioinformatics
A Shajii, I Numanagić, R Baghdadi, B Berger, S Amarasinghe
Proceedings of the ACM on programming languages 3 (OOPSLA), 1-29, 2019
Tiramisu: A code optimization framework for high performance systems
R Baghdadi, J Ray, MB Romdhane, E Del Sozzo, P Suriana, S Kamil, ...
arXiv preprint arXiv:1804.10694, 2018
GraphIt: a highperformance graph DSL. PACMPL 2, OOPSLA (2018), 121: 1–121: 30
Y Zhang, M Yang, R Baghdadi, S Kamil, J Shun, SP Amarasinghe
A variational study of two-nucleon systems with lattice QCD
S Amarasinghe, R Baghdadi, Z Davoudi, W Detmold, M Illa, A Parreno, ...
arXiv preprint arXiv:2108.10835, 2021
TIRAMISU: A polyhedral compiler for dense and sparse deep learning
R Baghdadi, AN Debbagh, K Abdous, FZ Benhamida, A Renda, ...
arXiv preprint arXiv:2005.04091, 2020
The potential of synergistic static, dynamic and speculative loop nest optimizations for automatic parallelization
R Baghdadi, A Cohen, C Bastoul, LN Pouchet, L Rauchwerger
arXiv preprint arXiv:1111.6756, 2011
A deep learning based cost model for automatic code optimization in tiramisu
M Merouani, MH Leghettas, R Baghdadi, T Arbaoui, K Benatchba
PhD thesis, 10 2020, 2020
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