| cudnn: Efficient primitives for deep learning S Chetlur, C Woolley, P Vandermersch, J Cohen, J Tran, B Catanzaro, ... arXiv preprint arXiv:1410.0759, 2014 | 2217 | 2014 |
| cuDNN: Efficient primitives for deep learning. CoRR abs/1410.0759 (2014) S Chetlur, C Woolley, P Vandermersch, J Cohen, J Tran, B Catanzaro, ... arXiv preprint arXiv:1410.0759, 2014 | 58 | 2014 |
| Shelhamer, E. cudnn: Efficient primitives for deep learning. arXiv 2014 S Chetlur, C Woolley, P Vandermersch, J Cohen, J Tran, B Catanzaro arXiv preprint arXiv:1410.0759, 2019 | 57 | 2019 |
| cudnn: Efficient primitives for deep learning, CoRR abs/1410.0759 S Chetlur, C Woolley, P Vandermersch, J Cohen, J Tran, B Catanzaro, ... arXiv preprint arXiv:1410.0759, 2014 | 13 | 2014 |
| Wafer-scale fast fourier transforms M Orenes-Vera, I Sharapov, R Schreiber, M Jacquelin, P Vandermersch, ... Proceedings of the 37th International Conference on Supercomputing, 180-191, 2023 | 5 | 2023 |
| What does it take to accelerate spice on the gpu? M Naumov, F Lannutti, S Chetlur, L Chien, P Vandermersch GPU Technology Conference, 2013 | 4 | 2013 |
| System and method for re-factorizing a square matrix into lower and upper triangular matrices on a parallel processor PV Maxim Naumov, Sharanyan Chetlur, Lung Sheng Chien, Robert Strzodka US Patent US 9170836 B2, 2014 | | 2014 |
