My Research Interests

• Numerical Linear Algebra
  Algorithms, Library Development, Applications
• High Performance Computing
  Parallel Computing Programming Environments, Distributed Memory Architectures, Shared Memory Architectures, Software Tools
• Engineering Applications
  Parallel Computing Techniques in Fluid Dynamics, Structural Analysis, ElectroMagnetism and Antennas, Optimization.
• Distributed Systems
  Grid Computing, Middleware

My Research Projects

• PSBLAS: Parallel Sparse BLAS
• MLD2P4: MultiLevel Domain Decomposition Parallel Preconditioner Package for PSBLAS.
• NEMO: Numerical Engine for Multiphysics Operators
• ForTrilinos.

Teaching

• Metodi Computazionali e Tecniche Computazionali Avanzate (MCTCA) (A.A. 2010/2011)
• Metodi Computazionali e Tecniche Computazionali Avanzate (MCTCA) (A.A. 2009/2010)
• Metodi Computazionali e Tecniche Computazionali Avanzate (MCTCA) (A.A. 2008/2009)
• Tecniche Computazionali Avanzate 2 (A.A. 2007/2008)
• Tecniche Computazionali Avanzate 2 (A.A. 2006/2007)
• Calcolatori Elettronici 2 (A.A. 2000/2001)
• Fondamenti di Informatica I (A.A. 1997/1998)

My Professional Activities

• European Exascale Software Initiative (EESI): (2011-). Member of Working group (WG 4.3) on Numerical libraries, Solvers and Algorithms.
• Program Committee Member for HPSS 2011.
• Program Committee Member for CANA 2010
• Program Committee Member for CANA '08
• Program Committee Member for PDP 2007
• Program Committee Member and Special Session Chair for HPCC 2006
• Program Committee Member for PARCO 2003
• Local Arrangements Chair for the International Symposium Performance 2002
• I am a member of ACM, SIAM and IEEE Computer Society
• I have acted as a reviewer and evaluator of scientific projects for both the European Commission and the US National Science Foundation
• While working at IBM I developed the sparse linear solvers, some of the sorting routines and upgraded the dense linear solvers for the Engineering and Scientific Subroutine Library (ESSL) for both vector mainframes and RISC workstations; I was one of the main architects for Parallel ESSL, the version of ESSL for the SP series of machines, for which I wrote the dense general linear system solvers (used also for the LINPACK HPC benchmark), dense symmetric and sparse iterative linear system solvers.

My Publications

Journals

• S. Filippone, A. Buttari: Object-Oriented Techniques for Sparse Matrix Computations in Fortran 2003. ACM Trans. on Mathematical Software, to appear.
• P. D'Ambra, D. di Serafino, S. Filippone: MLD2P4: a Package of Parallel Algebraic Multilevel Domain Decomposition Preconditioners in Fortran 95. ACM Trans. on Mathematical Software, 2010, Volume 37, No. 3.
• A. Buttari, V. Eijkhout, J. Langou and S. Filippone, ''Performance optimization and modeling of sparse kernels'' International Journal of High Performance Computing Applications, November 2007, Volume 21, No. 4, pp. 467-484.
• A. Buttari, D. di Serafino, P. D'Ambra, S. Filippone, 2LEV-D2P4: a package of high-performance preconditioners, Applicable Algebra in Engineering, Communications and Computing, Volume 18, Number 3, May, 2007, pp. 223-239 published online Feb. 2007
• D. di Serafino, P. D'Ambra, S. Filippone, On the development of PSBLAS-based parallel two-level Schwarz preconditioners, Applied Numerical Mathematics, Volume 57, Issues 11-12, November-December 2007, Pages 1181-1196. published online Feb. 2007
• L. Arnone, P. D'Ambra, S. Filippone, A parallel version of KIVA-3 based on general purpose numerical software and its use in two-stroke engine applications, Int'l Journal of Computer Research, Special Issue on Industrial Applications of Parallel Computing, M. Paprzycki, L. Tarricone, T. Yang eds., Vol. 10, No. 4, pp. 31-46, 2001.
• S. Filippone, M. Colajanni, PSBLAS: A library for parallel linear algebra computation on sparse matrices, ACM Trans. on Mathematical Software, Vol. 26, No. 4, pp. 527-550, Dec. 2000.
• S. Filippone, M. Marrone and G. Radicati di Brozolo Parallel preconditioned conjugate-gradient type algorithms for general sparsity structures. International Journal of Computer Mathematics, Vol. 40, pp. 159-167, 1992.

Book chapters

• L. Arnone, P. D'Ambra, S. Filippone, Using general-purpose numerical software in the parallelization of fluid dynamics codes: KIVA-3, a code for engine simulations, Practical Parallel Computing, M. Paprzycki, L. Tarricone, T. Yang eds., NOVA Science Pub., New York, Ch. 3, pp. 37-55, 2001.

Conferences

• Davide Barbieri, Valeria Cardellini, Salvatore Filippone and Damian Rouson Design Patterns for Scientific Computations on Sparse Matrices HPSS 2011, Algorithms and Programming Tools for Next-Generation High-Performance Scientific Software, Bordeaux, Sep. 2011
• A. Buttari, P. D'Ambra, D. di Serafino, S. Filippone, Simone Gentile and Bora Uçar A Novel Aggregation Method based on Graph Matching for Algebraic MultilGrid Preconditioning of Sparse Linear Systems Preconditioning 2011, Bordeaux, France, May 2011
• Michele Martone, Salvatore Filippone, Pawel Gepner, Marcin Paprzycki, and Salvatore Tucci. Use of hybrid recursive CSR/COO data structures in sparse matrices-vector multiplication. International Multiconference on Computer Science and Information Technology, Wisla, Poland, October 2010.
• Michele Martone, Salvatore Filippone, Marcin Paprzycki, and Salvatore Tucci. About the assembly of recursive sparse matrices. International Multiconference on Computer Science and Information Technology, Wisla. Poland, October 2010.
• Michele Martone, Salvatore Filippone, Marcin Paprzycki, and Salvatore Tucci. On BLAS operations with recursively stored sparse matrices. International Symposium on Symbolic and Numeric Algorithms for scientific Computing, Timisoara, Romania, September 2010.
• Michele Martone, Salvatore Filippone, Marcin Paprzycki, and Salvatore Tucci. On the usage of 16 bit indices in recursively stored sparse matrices. International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, Timisoara, Romania, September 2010.
• Michele Martone, Salvatore Filippone, Salvatore Tucci, Marcin Paprzycki, and Maria Ganzha. Utilizing recursive storage in sparse matrix-vector multiplication - preliminary considerations. In Thomas Philips, editor, CATA, pages 300--305. ISCA, 2010.
• S. Filippone Multilevel Preconditioners and Approximate Inverses in Krylov Projection Methods ICNAAM 2010, Rhodes, Greece
• D. Barbieri, V. Cardellini, S. Filippone Generalized GEMM Kernels on GPGPUs: Experiments and Applications PARCO 2009, Lyon, France.
• D. Schmidt, S. Toninel, S. Filippone, G. M. Bianchi Parallel Computation of Mesh Motion for CFD of IC Engines SAE World Congress and Exhibition, Detroit, USA, 2008
• A. Aprovitola, P. D'Ambra, F. M. Denaro, D. Di Serafino, S. Filippone Scalable algebraic multilevel preconditioners with application to CFD Parallel CFD 2008, Lyon, France
• P. D'Ambra, S. Filippone, D. Di Serafino MLD2P4, a Package of Algebraic Multilevel Preconditioners Parallel Matrix Algorithms and Applications 2008, Neuchatel, Switzerland
• G. Bella. F. Bozza, A. De Maio, F. Del Citto, S. Filippone An enhanced parallel version of KIVA-3V coupled with a 1D CFD code and its use in general purpose engine application In Springer, High Performance Computing and Communications. Second International Conference, HPCC 2006, Proceedings, volume 4208 of Lecture Notes in Computer Science, pages 11-20, Sept. 2006.
• A. Buttari, P. D'Ambra, D. di Serafino, S. Filippone, Extending PSBLAS to build parallel Schwarz preconditioners, Proc. of 7th Int'l Conf. on Applied Parallel Computing. State of the Art in Scientific Computing (PARA 2004), Lecture Notes in Computer Science Vol. 3732, pp. 593-602, 2006.
• G. Bella. S. Filippone, A. De Maio, Mario Testa. A Simulation Model for Forest Fires In Springer, editor, Applied Parallel Computing. State of the Art in Scientific Computing: 7th International Conference, PARA 2004, Proceedings, volume 3732 of Lecture Notes in Computer Science, pages 546-553, 2006.
• G. Bella, A. Buttari, A. De Maio, F. Del Citto, S. Filippone, and F. Gasperini. Fast-EVP: an engine simulation tool. In Springer, editor, High Performance Computing and Communications. First International Conference, HPCC 2005, Proceedings, volume 3726 of Lecture Notes in Computer Science, pages 976-986, Sept. 2005.
• S. Filippone, N. Rossi, G. Bella, S. Ubertini. On the parallelization of the Lattice-Boltzmann method In Proceedings of PARA'04, June 2004.
• S. Filippone, A. Buttari, G. Bella, A. De Maio, On the Influence of Linear Solvers in Fluid Dynamics Codes, ISCS Annual Conference, Cefalù, Sicily, Nov. 2003.

• G. Bella, S, Filippone, N. Rossi, S. Ubertini, Using OpenMP on a Hydrodynamic Lattice-Boltzmann Code, Proc. of EWOMP 2002, Rome, Sept. 2002
• S. Filippone, G. Bella, P. D'Ambra, Parallelizing KIVA-3 to get the right simulation time in engine design, Proc. of Applied Simulation and Modeling, pp. 571-575, Crete, June 2002.
• S. Filippone, P. D'Ambra, M. Colajanni, Using a parallel library of sparse linear algebra in a fluid dynamics application code on clusters of workstations, Proc. of PARCO 2001, Naples, Italy, Sep. 2001.
• S. Filippone, M. Colajanni, D. Pascucci, ``An object-oriented environment for sparse parallel computation on adaptive grids'', Proc. of 13th Int'l Parallel Processing Symp. (IPPS/SPDP'99), San Juan, Puerto Rico, April 1999.

• M. Celino, L. Colombo, V. Rosato, B.Di Martino, M. Briscolini and S. Filippone, Parallel Tight-Binding Molecular Dynamics code based on integration of HPF and optimized Parallel Libraries. Proc. of PARA '98, B. Kagstrom et al eds., Springer-Verlag Lecture Notes in Computer Science No. 1541, pp. 104-111.
• F. Cerioni, M. Colajanni, S. Filippone and S. Maiolatesi Proc. of PARA '96, J.~Dongarra et al eds., Springer-Verlag Lecture Notes in Computer Science No. 1184, pp. 166-175.
• S. Filippone Parallel Libraries on Distributed Memory Architectures: the IBM Parallel ESSL Proc. of PARA '96, J. Dongarra et al eds., Springer-Verlag Lecture Notes in Computer Science No. 1184, pp. 247-255.
• S. Filippone and C. Vittoli Some preliminary experience with sparse BLAS in parallel iterative solvers. Applied Parallel Computing -- Proc. of PARA '95, J. Dongarra et al eds., pp. 207-213, Springer-Verlag Lecture Notes in Computer Science 1041, 1996.
• S. Filippone and M. L. Sales, Experiences in Numerical Software on IBM distributed memory architectures, Parallel Scientific Computing -- Proc. of PARA '94, J. Dongarra and J. Wasniewski eds., pp. 207-218, Springer-Verlag Lecture Notes in Compute Science 879, 1994.
• S. Filippone, P. Santangelo and M. Vitaletti. A vectorized long period shift register random number generator. Proc. of Supercomputing '90, pp. 676-684.
• S. Filippone and G. Radicati di Brozolo. Vectorized ILU preconditioners for general sparsity patterns. Proc. of the Int. Meeting on Parallel Computing, Verona, Italy, 1988, pp. 103-114.

Others

• D. Barbieri, V. Cardellini, S. Filippone Sparse computations on GPGPUs Technical Report RR-12.90, Dip. di Informatica, Sistemi e Produzione, Università di Roma "Tor Vergata", Italy, Jan 2012.
• A. Aprovitola, P. D'Ambra, F. M. Denaro, D. Di Serafino, S. Filippone Application of parallel algebraic multilevel domain decomposition preconditioners in large eddy simulations of wall-bounded turbulent flows: first experiments Tech. report RT-ICAR-NA-07-02, ICAR-CNR, Naples, 2007.
• A. Buttari, P. D'Ambra, D. di Serafino, S. Filippone, 2LEVDD-PSBLAS: a package of high-performance preconditioners for scientific and engineering applications, Technical Report RT-ICAR-NA-2005-20, ICAR-CNR, Dec. 2005.
• Alfredo Buttari, Victor Eijkhout, Julien Langou, Salvatore Filippone. Performance optimization and modeling of blocked sparse kernels. Technical Report ICL-UT-04-05, ICL, Department of Computer Science, University of Tennessee at Knoxville, 2004

Thesis

PhD

• M.Martone: A Quad-Tree Based Sparse BLAS Implementation for Shared Memory Parallel Computers, 2011
• A. Buttari: Software Tools for Sparse Linear Algebra Computations, 2006

Master

• M. Martone: Ottimizzazione e parallelizzazione di codici di simulazione idromagnetodinamica resistiva, 2007
• G. Minenkov: Realizzazione di Precondizionatori Multilivello in Ambienti Distribuiti per l'Algebra Lineare, 2007
• N. Rossi: ARPACKe PSBLAS: Strumenti software per il calcolo degli autovalori ed autovettori su architettura distribuita, 2006
• E. Ippoliti: Valutazione di Scheduler per la gestione di risorse in ambienti di calcolo parallelo, 2004
• F. Agrusti: Software Open Source nella scuola primaria, 2004
• A. Garaio: Analisi di prestazioni di sistemi di calcolo a memoria condivisa, 2003
• A. Buttari: Strutture dati per il calcolo parallelo con applicazioni alla fluidodinamica computazionale, 2002
• A. Menale: MPI con Fast Messages, 1999
• F. Di Filippo: Sviluppo di alcuni moduli per la parallelizzazione di un software per la simulazione numerica di fenomeni di combustione, 1998
• D. Pascucci: PSBLAS-TOOLS: Una libreria orientata agli oggetti per il supporto di algoritmi adattativi paralleli, 1997
• S. Maiolatesi: PS-BLAS: Libreria di Calcolo per problemi ``sparsi'' per architetture parallele e distribuite, 1996

My non-Professional Activities

• I love classical music, most of all renaissance polyphony, Bach and Mozart; am out of practice right now, but I can sing as a choir tenor in renaissance polyphony (and Christmas carols).
• I practice swimming
• I love cooking (as well as eating): no one who has tried my cooking has ever complained (references available upon request ;-)