| Opencnn: a winograd minimal filtering algorithm implementation in cuda RL Castro, D Andrade, BB Fraguela Mathematics 9 (17), 2033, 2021 | 6 | 2021 |
| Probing the efficacy of hardware-aware weight pruning to optimize the spmm routine on ampere gpus RL Castro, D Andrade, BB Fraguela Proceedings of the International Conference on Parallel Architectures and …, 2022 | 3 | 2022 |
| Reusing Trained Layers of Convolutional Neural Networks to Shorten Hyperparameters Tuning Time RL Castro, D Andrade, B Fraguela arXiv preprint arXiv:2006.09083, 2020 | 3 | 2020 |
| VENOM: A Vectorized N: M Format for Unleashing the Power of Sparse Tensor Cores RL Castro, A Ivanov, D Andrade, T Ben-Nun, BB Fraguela, T Hoefler Proceedings of the International Conference for High Performance Computing …, 2023 | 1 | 2023 |
| Using Artificial Vision Techniques for Individual Player Tracking in Sport Events RL Castro, DA Canosa Multidisciplinary Digital Publishing Institute Proceedings 21 (1), 21, 2019 | 1 | 2019 |
| Accelerating Machine Learning Computational Kernels on the GPU RL Castro, D Andrade, BB Fraguela 18th International Summer School on Advanced Computer Architecture and …, 2022 | | 2022 |
| OpenCNN: A Winograd Minimal Filtering Algorithm Implementation in CUDA. Mathematics 2021, 9, 2033 RL Castro, D Andrade, BB Fraguela s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2021 | | 2021 |
| A Hybrid Approach for Tracking Individual Players in Broadcast Match Videos RL Castro, D Andrade, B Fraguela arXiv preprint arXiv:2003.03271, 2020 | | 2020 |
| Uso de técnicas de visión por computador para el seguimiento de individuos en eventos deportivos RL Castro | | |
Diego AndradeUniversity of A CoruñaVerified email at udc.es
