| Graphite two years after: First lessons learned from real-world polyhedral compilation K Trifunovic, A Cohen, D Edelsohn, F Li, T Grosser, H Jagasia, ... GCC Research Opportunities Workshop (GROW'10), 2010 | 118 | 2010 |
| IR2VEC LLVM IR Based Scalable Program Embeddings S VenkataKeerthy, R Aggarwal, S Jain, MS Desarkar, R Upadrasta, ... ACM Transactions on Architecture and Code Optimization (TACO) 17 (4), 1-27, 2020 | 56* | 2020 |
| Sub-polyhedral scheduling using (unit-) two-variable-per-inequality polyhedra R Upadrasta, A Cohen Acm Sigplan Notices 48 (1), 483-496, 2013 | 44 | 2013 |
| Llov: A fast static data-race checker for openmp programs U Bora, S Das, P Kukreja, S Joshi, R Upadrasta, S Rajopadhye ACM Transactions on Architecture and Code Optimization (TACO) 17 (4), 1-26, 2020 | 27 | 2020 |
| Polydl: Polyhedral optimizations for creation of high-performance dl primitives S Tavarageri, A Heinecke, S Avancha, B Kaul, G Goyal, R Upadrasta ACM Transactions on Architecture and Code Optimization (TACO) 18 (1), 1-27, 2021 | 19 | 2021 |
| A practical and fast iterative algorithm for φ-function computation using DJ graphs D Das, U Ramakrishna ACM Transactions on Programming Languages and Systems (TOPLAS) 27 (3), 426-440, 2005 | 17 | 2005 |
| Combined ILP and register tiling: analytical model and optimization framework L Renganarayana, U Ramakrishna, S Rajopadhye Languages and Compilers for Parallel Computing: 18th International Workshop …, 2006 | 13 | 2006 |
| P4llvm: An llvm based p4 compiler TK Dangeti, R Upadrasta 2018 IEEE 26th International Conference on Network Protocols (ICNP), 424-429, 2018 | 10 | 2018 |
| A case for strongly polynomial time sub-polyhedral scheduling using two-variable-per-inequality polyhedra R Upadrasta, A Cohen Second International Workshop on Polyhedral Compilation Techniques (IMPACT …, 2012 | 9 | 2012 |
| Poset-rl: Phase ordering for optimizing size and execution time using reinforcement learning S Jain, Y Andaluri, S VenkataKeerthy, R Upadrasta 2022 IEEE International Symposium on Performance Analysis of Systems and …, 2022 | 6 | 2022 |
| An analysis of executable size reduction by LLVM passes S Jain, U Bora, P Kumar, VB Sinha, S Purini, R Upadrasta CSI Transactions on ICT 7 (2), 105-110, 2019 | 6 | 2019 |
| RL4ReAl: Reinforcement Learning for Register Allocation S VenkataKeerthy, S Jain, A Kundu, R Aggarwal, A Cohen, R Upadrasta Proceedings of the 32nd ACM SIGPLAN International Conference on Compiler …, 2023 | 5 | 2023 |
| Potential and Challenges of Two-Variable-Per-Inequality Sub-Polyhedral Compilation R Upadrasta, A Cohen IMPACT 2011 First International Workshop on Polyhedral Compilation Techniques, 2011 | 5 | 2011 |
| Polyhedral Model Guided Automatic GPU Cache Exploitation Framework AA Patwardhan, R Upadrasta 2019 International Conference on High Performance Computing & Simulation …, 2019 | 3 | 2019 |
| Efficient liveness computation using merge sets and DJ-graphs D Das, B Dupont De Dinechin, R Upadrasta ACM Transactions on Architecture and Code Optimization (TACO) 8 (4), 1-18, 2012 | 3 | 2012 |
| OpenMP aware MHP Analysis for Improved Static Data-Race Detection U Bora, S Vaishay, S Joshi, R Upadrasta 2021 IEEE/ACM 7th Workshop on the LLVM Compiler Infrastructure in HPC (LLVM …, 2021 | 2 | 2021 |
| Polyscientist: Automatic loop transformations combined with microkernels for optimization of deep learning primitives S Tavarageri, A Heinecke, S Avancha, G Goyal, R Upadrasta, B Kaul arXiv preprint arXiv:2002.02145, 2020 | 2 | 2020 |
| IR2Vec: A Flow Analysis based Scalable Infrastructure for Program Encodings V Keerthy S, R Aggarwal, S Jain, M Sankar Desarkar, R Upadrasta, ... arXiv, arXiv: 1909.06228, 2019 | 2 | 2019 |
| Optimization and parallelization of tensor and ODE/PDE computations on GPU AS Subramaniam, R Upadrasta Indian Institute of Technology Hyderabad, 2018 | 2 | 2018 |
| Sub-Polyhedral Compilation using (Unit-) Two-Variables-Per-Inequality Polyhedra R Upadrasta Université Paris Sud-Paris XI, 2013 | 2 | 2013 |
Albert CohenGoogleVerified email at google.com
