| RAIDR: Retention-aware intelligent DRAM refresh J Liu, B Jaiyen, R Veras, O Mutlu ACM SIGARCH Computer Architecture News 40 (3), 1-12, 2012 | 676 | 2012 |
| When polyhedral transformations meet SIMD code generation M Kong, R Veras, K Stock, F Franchetti, LN Pouchet, P Sadayappan Proceedings of the 34th ACM SIGPLAN conference on Programming language …, 2013 | 180 | 2013 |
| A stencil compiler for short-vector simd architectures T Henretty, R Veras, F Franchetti, LN Pouchet, J Ramanujam, ... Proceedings of the 27th international ACM conference on International …, 2013 | 177 | 2013 |
| SPIRAL: Extreme performance portability F Franchetti, TM Low, DT Popovici, RM Veras, DG Spampinato, ... Proceedings of the IEEE 106 (11), 1935-1968, 2018 | 137 | 2018 |
| Analytical cache modeling and tilesize optimization for tensor contractions R Li, A Sukumaran-Rajam, R Veras, TM Low, F Rastello, A Rountev, ... Proceedings of the International Conference for High Performance Computing …, 2019 | 35 | 2019 |
| Compilers, hands-off my hands-on optimizations R Veras, DT Popovici, TM Low, F Franchetti Proceedings of the 3rd Workshop on Programming Models for SIMD/Vector …, 2016 | 10 | 2016 |
| Capturing the expert: Generating fast matrix-multiply kernels with spiral R Veras, F Franchetti High Performance Computing for Computational Science--VECPAR 2014: 11th …, 2015 | 8 | 2015 |
| FLAMES2S: From abstraction to high performance R Veras, J Monette, R Van de Geijn, ES Quintana-Ortí Computer Science Department, University of Texas at Austin, 2008 | 8 | 2008 |
| Automating the Last-Mile for High Performance Dense Linear Algebra RM Veras, TM Low, TM Smith, RA van de Geijn, F Franchetti ArXiv e-prints, 2016 | 6 | 2016 |
| A Scale-Free Structure for Power-Law Graphs RM Veras, TM Low, F Franchetti High Performance Extreme Computing Conference (HPEC), 2016 IEEE, 2016 | 6 | 2016 |
| On large-scale matrix-matrix multiplication on compressed structures SG Krishna, A Narasimhan, S Radhakrishnan, R Veras 2021 IEEE International Conference on Big Data (Big Data), 2976-2985, 2021 | 5 | 2021 |
| Reinforcement learning for graph coloring: Understanding the power and limits of non-label invariant representations C Cummins, R Veras arXiv preprint arXiv:2401.12470, 2024 | 4 | 2024 |
| A domain-specific language and compiler for stencil computations on short-vector simd and gpu architectures T Henretty, J Holewinski, R Veras, F Franchetti, LN Pouchet, ... Compilers for Parallel Computing Workshop, 2013 | 3 | 2013 |
| Transforming linear algebra libraries: From abstraction to high performance RM Veras, JS Monette, ES Quintana-Ort, RA van de Geijn ACM Trans. Math. Soft, 0 | 3 | |
| Observe locally, classify globally: Using gnns to identify sparse matrix structure K Abdelaal, R Veras International Work-Conference on Artificial Neural Networks, 149-161, 2023 | 2 | 2023 |
| A framework for analyzing the robustness of graph models K Abdelaal, R Veras 2023 IEEE High Performance Extreme Computing Conference (HPEC), 1-6, 2023 | 1 | 2023 |
| Using q-learning to select the best among functionally equivalent implementations M Oever, LE Grimley, RM Veras Proceedings of the 8th ACM SIGPLAN International Workshop on Libraries …, 2022 | 1 | 2022 |
| RAIDR: Retention-Aware Intelligent DRAM Refresh B Jaiyen, J Liu, R Veras, O Mutlu | | 2019 |
| From High-Level Specification to High-Performance Code Z Wang, M O’Boyle, PS Rawat, M Vaidya, A Sukumaran-Rajam, ... Proceedings of the IEEE 106 (11), 2018 | | 2018 |
| A scale-free structure for real world networks RM Veras, F Franchetti 2017 IEEE High Performance Extreme Computing Conference (HPEC), 1-7, 2017 | | 2017 |
Franz FranchettiCarnegie Mellon UniversityVahvistettu sähköpostiosoite verkkotunnuksessa ece.cmu.edu
