Towards a learning-based performance modeling for accelerating deep neural networks D Perri, P Sylos Labini, O Gervasi, S Tasso, F Vella Computational Science and Its Applications–ICCSA 2019: 19th International …, 2019 | 14 | 2019 |
On the anatomy of predictive models for accelerating GPU convolution kernels and beyond PS Labini, M Cianfriglia, D Perri, O Gervasi, G Fursin, A Lokhmotov, ... ACM Transactions on Architecture and Code Optimization (TACO) 18 (1), 1-24, 2021 | 12 | 2021 |
Probgraph: High-performance and high-accuracy graph mining with probabilistic set representations M Besta, C Miglioli, PS Labini, J Tětek, P Iff, R Kanakagiri, S Ashkboos, ... SC22: International Conference for High Performance Computing, Networking …, 2022 | 10 | 2022 |
High-Performance and Programmable Attentional Graph Neural Networks with Global Tensor Formulations M Besta, P Renc, R Gerstenberger, P Sylos Labini, A Ziogas, T Chen, ... Proceedings of the International Conference for High Performance Computing …, 2023 | 5 | 2023 |
Blocking Sparse Matrices to Leverage Dense-Specific Multiplication PS Labini, M Bernaschi, W Nutt, F Silvestri, F Vella 2022 IEEE/ACM Workshop on Irregular Applications: Architectures and …, 2022 | 3 | 2022 |
Blocking techniques for sparse matrix multiplication on tensor accelerators PS Labini, M Bernaschi, F Silvestri, F Vella arXiv preprint arXiv:2202.05868, 2022 | 3 | 2022 |
Analysis of SARS-CoV-2 protein interactome map P Lecca, B Carpentieri, PS Labini, F Vella, E Troiani, A Cavezzi 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2021 | 2 | 2021 |
Scaling Expected Force: Efficient Identification of Key Nodes in Network-Based Epidemic Models PS Labini, A Jurco, M Ceccarello, S Guarino, E Mastrostefano, F Vella 2024 32nd Euromicro International Conference on Parallel, Distributed and …, 2024 | | 2024 |
Scaling Expected Force: Efficient Identification of Key Nodes in Network-based Epidemic Models P Sylos Labini, A Jurco, M Ceccarello, S Guarino, E Mastrostefano, ... arXiv e-prints, arXiv: 2306.00606, 2023 | | 2023 |
Blocking Techniques for Sparse Matrix Multiplication on Tensor Accelerators P Sylos Labini, M Bernaschi, F Silvestri, F Vella arXiv e-prints, arXiv: 2202.05868, 2022 | | 2022 |