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Paolo Sylos Labini
Paolo Sylos Labini
在 stud-inf.unibz.it 的电子邮件经过验证
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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
142019
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
122021
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
102022
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
52023
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
32022
Blocking techniques for sparse matrix multiplication on tensor accelerators
PS Labini, M Bernaschi, F Silvestri, F Vella
arXiv preprint arXiv:2202.05868, 2022
32022
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
22021
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
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