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Salvatore Filippone
Titolo
Citata da
Citata da
Anno
Sparse matrix-vector multiplication on GPGPUs
S Filippone, V Cardellini, D Barbieri, A Fanfarillo
ACM Transactions on Mathematical Software (TOMS) 43 (4), 1-49, 2017
1422017
PSBLAS: A library for parallel linear algebra computation on sparse matrices
S Filippone, M Colajanni
ACM Transactions on Mathematical Software (TOMS) 26 (4), 527-550, 2000
1212000
Theoretical and experimental analysis of a laser textured thrust bearing
VG Marian, D Gabriel, G Knoll, S Filippone
Tribology letters 44, 335-343, 2011
1012011
OpenCoarrays: open-source transport layers supporting coarray Fortran compilers
A Fanfarillo, T Burnus, V Cardellini, S Filippone, D Nagle, D Rouson
Proceedings of the 8th International Conference on Partitioned Global …, 2014
752014
Performance optimization and modeling of blocked sparse kernels
A Buttari, V Eijkhout, J Langou, S Filippone
The International Journal of High Performance Computing Applications 21 (4 …, 2007
652007
Utilizing Recursive Storage in Sparse Matrix-Vector Multiplication-Preliminary Considerations.
M Martone, S Filippone, S Tucci, M Paprzycki, M Ganzha
CATA, 300-305, 2010
432010
Object-oriented techniques for sparse matrix computations in Fortran 2003
S Filippone, A Buttari
ACM Transactions on Mathematical Software (TOMS) 38 (4), 1-20, 2012
382012
MLD2P4: a package of parallel algebraic multilevel domain decomposition preconditioners in Fortran 95
P D’Ambra, DD Serafino, S Filippone
ACM Transactions on Mathematical Software (TOMS) 37 (3), 7-23, 2010
362010
Sparse approximate inverse preconditioners on high performance GPU platforms
D Bertaccini, S Filippone
Computers & Mathematics with Applications 71 (3), 693-711, 2016
342016
Use of hybrid recursive csr/coo data structures in sparse matrix-vector multiplication
M Martone, S Filippone, S Tucci, P Gepner, M Paprzycki
Proceedings of the International Multiconference on Computer Science and …, 2010
342010
BootCMatch: a software package for bootstrap AMG based on graph weighted matching
P D’ambra, S Filippone, PS Vassilevski
ACM Transactions on Mathematical Software (TOMS) 44 (4), 1-25, 2018
332018
On the development of PSBLAS-based parallel two-level Schwarz preconditioners
P D'Ambra, D Di Serafino, S Filippone
Applied numerical mathematics 57 (11-12), 1181-1196, 2007
252007
2LEV-D2P4: a package of high-performance preconditioners for scientific and engineering applications
A Buttari, P D’ambra, D Di Serafino, S Filippone
Applicable Algebra in Engineering, Communication and Computing 18, 223-239, 2007
252007
Social ski driver conditional autoregressive-based deep learning classifier for flight delay prediction
DB Bisandu, I Moulitsas, S Filippone
Neural Computing and Applications 34 (11), 8777-8802, 2022
242022
A parallel generalized relaxation method for high-performance image segmentation on GPUs
P D’Ambra, S Filippone
Journal of Computational and Applied Mathematics 293, 35-44, 2016
222016
Heterogeneous sparse matrix computations on hybrid GPU/CPU platforms
V Cardellini, A Fanfarillo, S Filippone
Parallel Computing: Accelerating Computational Science and Engineering (CSE …, 2014
222014
Extracting uml class diagrams from object-oriented fortran: Foruml
A Nanthaamornphong, K Morris, S Filippone
Proceedings of the 1st International Workshop on Software Engineering for …, 2013
212013
On the usage of 16 bit indices in recursively stored sparse matrices
M Martone, S Filippone, M Paprzycki, S Tucci
2010 12th International Symposium on Symbolic and Numeric Algorithms for …, 2010
212010
Characterisation of small antennas on electrically large structures using measured sources and advanced numerical modelling
LJ Foged, B Bencivenga, F Saccardi, L Scialacqua, F Mioc, G Arcidiacono, ...
35th Annual Symposium of the Antenna Measurement Techniques Association, AMTA, 2013
202013
Design patterns for scientific computations on sparse matrices
D Barbieri, V Cardellini, S Filippone, D Rouson
Euro-Par 2011: Parallel Processing Workshops: CCPI, CGWS, HeteroPar, HiBB …, 2012
182012
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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