| 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 | 105 | 2000 |
| Theoretical and experimental analysis of a laser textured thrust bearing VG Marian, D Gabriel, G Knoll, S Filippone Tribology letters 44 (3), 335-343, 2011 | 75 | 2011 |
| 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 | 56 | 2014 |
| 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 | 55 | 2017 |
| 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 | 53 | 2007 |
| Utilizing Recursive Storage in Sparse Matrix-Vector Multiplication-Preliminary Considerations. M Martone, S Filippone, S Tucci, M Paprzycki, M Ganzha, T Philips CATA, 300-305, 2010 | 38 | 2010 |
| 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 | 30 | 2010 |
| 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 | 29 | 2012 |
| 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 | 26 | 2010 |
| 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 | 24 | 2007 |
| Sparse approximate inverse preconditioners on high performance GPU platforms D Bertaccini, S Filippone Computers & Mathematics with Applications 71 (3), 693-711, 2016 | 21 | 2016 |
| 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 | 21 | 2010 |
| 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 (3), 223-239, 2007 | 21 | 2007 |
| 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 | 20 | 2013 |
| 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 | 17 | 2016 |
| 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 | 17 | 2013 |
| 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 | 16 | 2018 |
| Heterogeneous Sparse Matrix Computations on Hybrid GPU/CPU Platforms. V Cardellini, A Fanfarillo, S Filippone PARCO, 203-212, 2013 | 16 | 2013 |
| Design patterns for scientific computations on sparse matrices D Barbieri, V Cardellini, S Filippone, D Rouson European Conference on Parallel Processing, 367-376, 2011 | 16 | 2011 |
| Assembling recursively stored sparse matrices M Martone, S Filippone, S Tucci, M Paprzycki Proceedings of the International Multiconference on Computer Science and …, 2010 | 15 | 2010 |
