| 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 | 398 | 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 | 293 | 2019 |
| 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 | 207 | 2018 |
| 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 | 168 | 2015 |
| Perception, performance, and detectability of conversational artificial intelligence across 32 university courses H Ibrahim, F Liu, R Asim, B Battu, S Benabderrahmane, B Alhafni, ... Scientific Reports 13 (1), 12187, 2023 | 126 | 2023 |
| 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 | 103 | 2021 |
| 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 | 101 | 2021 |
| Variational study of two-nucleon systems with lattice QCD S Amarasinghe, R Baghdadi, Z Davoudi, W Detmold, M Illa, A Parreño, ... Physical Review D 107 (9), 094508, 2023 | 46 | 2023 |
| 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 | 32 | 2017 |
| 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 | 29 | 2013 |
| 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 | 28 | 2018 |
| 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 | 28 | 2014 |
| 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 | 26 | 2018 |
| PENCIL Language Specification R Baghdadi, A Cohen, T Grosser, S Verdoolaege, J Absar, ... INRIA, 2015 | 25 | 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 | 24 | 2013 |
| 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 | 22 | 2019 |
| 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 | 15 | 2020 |
| 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 | 12 | 2020 |
| 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 | 12 | 2018 |
| GraphIt: a high-performance graph DSL. PACMPL, 2, OOPSLA (2018), 121: 1–121: 30 Y Zhang, M Yang, R Baghdadi, S Kamil, J Shun, SP Amarasinghe | 10 | 2018 |
Saman AmarasingheMITVerified email at mit.edu