| Graphite two years after: First lessons learned from real-world polyhedral compilation K Trifunovic, A Cohen, D Edelsohn, F Li, T Grosser, H Jagasia, ... | 89 | 2010 |
| Sub-polyhedral scheduling using (unit-) two-variable-per-inequality polyhedra R Upadrasta, A Cohen Acm Sigplan Notices 48 (1), 483-496, 2013 | 30 | 2013 |
| 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 International Workshop on Languages and Compilers for Parallel Computing …, 2005 | 12 | 2005 |
| 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 | 6 | 2012 |
| Potential and Challenges of Two-Variable-Per-Inequality Sub-Polyhedral Compilation R Upadrasta, A Cohen First International Workshop on Polyhedral Compilation Techniques (IMPACT’11 …, 2011 | 4 | 2011 |
| 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 |
| LLOV: A Fast Static Data-Race Checker for OpenMP Programs U Bora, S Das, P Kureja, S Joshi, R Upadrasta, S Rajopadhye arXiv preprint arXiv:1912.12189, 2019 | 2 | 2019 |
| Sub-Polyhedral Compilation using (Unit-) Two-Variables-Per-Inequality Polyhedra R Upadrasta Paris 11, 2013 | 2 | 2013 |
| Graphite two years after K Trifunovic, A Cohen, D Edelsohn, L Feng, T Grosser, H Jagasia, ... GCC Research Opportunities Workshop (GROW), 2010 | 2 | 2010 |
| IR2Vec: LLVM IR based Scalable Program Embeddings S VenkataKeerthy, R Aggarwal, S Jain, MS Desarkar, R Upadrasta, ... arXiv preprint arXiv:1909.06228, 2019 | 1 | 2019 |
| Improved loop distribution in LLVM using polyhedral dependences TK Dangeti, U Borah, S Das, T Grosser, R Upadrasta | 1 | 2017 |
| PolyDL: Polyhedral Optimizations for Creation of High Performance DL primitives S Tavarageri, A Heinecke, S Avancha, G Goyal, R Upadrasta, B Kaul arXiv preprint arXiv:2006.02230, 2020 | | 2020 |
| 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 | | 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 | | 2019 |
| Polyhedral Model Guided Automatic GPU Cache Exploitation Framework AA Patwardhan, R Upadrasta 2019 International Conference on High Performance Computing & Simulation …, 2019 | | 2019 |
| 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 | | 2019 |
| IR2Vec: A Flow Analysis based Scalable Infrastructure for Program Encodings MS Desarkar, R Upadrasta arXiv. org, 2019 | | 2019 |
| A Loop-level Analysis and Optimal Sub-sequence Mining R Utkoor, R Upadrasta Indian institute of technology Hyderabad, 2019 | | 2019 |
| GPU-Based Multi-Level Parallelization for Hines Solver and Some Related Problems PK Gayatri, R Upadrasta Indian institute of technology Hyderabad, 2019 | | 2019 |
Albert CohenGoogle AIVerified email at google.com
