Flavio Vella
Citata da
Citata da
Scaling betweenness centrality using communication-efficient sparse matrix multiplication
E Solomonik, M Besta, F Vella, T Hoefler
Proceedings of the International Conference for High Performance Computing …, 2017
The AES implantation based on OpenCL for multi/many core architecture
O Gervasi, D Russo, F Vella
2010 International Conference on Computational Science and Its Applications …, 2010
Scalable betweenness centrality on multi-gpu systems
M Bernaschi, G Carbone, F Vella
Proceedings of the ACM International Conference on Computing Frontiers, 29-36, 2016
Strategies and systems towards grids and clouds integration: A DBMS-based solution
M Mariotti, O Gervasi, F Vella, A Cuzzocrea, A Costantini
Future Generation Computer Systems 88, 718-729, 2018
A GPU implementation of the ASP computation
A Dovier, A Formisano, E Pontelli, F Vella
International Symposium on Practical Aspects of Declarative Languages, 30-47, 2016
A simulation framework for scheduling performance evaluation on CPU-GPU heterogeneous system
F Vella, I Neri, O Gervasi, S Tasso
Computational Science and Its Applications–ICCSA 2012: 12th International …, 2012
Gpu computing in egi environment using a cloud approach
F Vella, RM Cefal, A Costantini, O Gervasi, C Tanci
2011 International Conference on Computational Science and Its Applications …, 2011
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
Multi-objective autotuning of mobilenets across the full software/hardware stack
A Lokhmotov, N Chunosov, F Vella, G Fursin
Proceedings of the 1st on Reproducible Quality-Efficient Systems Tournament …, 2018
A computational model for tensor core units
R Chowdhury, F Silvestri, F Vella
Proceedings of the 32nd ACM Symposium on Parallelism in Algorithms and …, 2020
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
Solutions to the st-connectivity problem using a GPU-based distributed BFS
M Bernaschi, G Carbone, E Mastrostefano, F Vella
Journal of Parallel and Distributed Computing 76, 145-153, 2015
Dynamic merging of frontiers for accelerating the evaluation of betweenness centrality
F Vella, M Bernaschi, G Carbone
Journal of Experimental Algorithmics (JEA) 23, 1-19, 2018
Betweenness centrality on multi-GPU systems
M Bernaschi, G Carbone, F Vella
Proceedings of the 5th Workshop on Irregular Applications: Architectures and …, 2015
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
Asynchronous distributed-memory triangle counting and lcc with rma caching
A Strausz, F Vella, S Di Girolamo, M Besta, T Hoefler
arXiv preprint arXiv:2202.13976, 2022
Multilevel parallelism for the exploration of large-scale graphs
M Bernaschi, M Bisson, E Mastrostefano, F Vella
IEEE transactions on multi-scale computing systems 4 (3), 204-216, 2018
On multiple learning schemata in conflict driven solvers
A Formisano, F Vella
ICTCS’14 Fifteenth Italian Conference on Theoretical Computer Science, 133, 2014
GPU-based parallelism for ASP-solving
A Dovier, A Formisano, F Vella
Declarative Programming and Knowledge Management: Conference on Declarative …, 2020
Parallel execution of the ASP computation-an investigation on GPUs
A Dovier, A Formisano, E Pontelli, F Vella
CEUR Workshop Proceedings 1433, 1-14, 2015
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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