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.

My Research

• Energy Oriented Center of Excellence: toward exascale for Energy:
• OpenCoarrays: Open Source Transport Layer for PGAS compilers
• Parallel Sparse Computation Toolkit
• BootCMatch: Bootstrap AMG based on Compatible weighted Matching,
• European Exascale Software Initiative 2 (EESI 2): (2012-). Member of Working group (WG 4.1) on Numerical Analysis.
• European Exascale Software Initiative (EESI): (2010-2011). Member of Working group (WG 4.3) on Numerical libraries, Solvers and Algorithms.

Other Affiliations

• I am a board member in the CINI HPC Key Technologies and Tools lab
• I am a research associate at IAC - Istituto per le Applicazioni del Calcolo, CNR Consiglio Nazionale delle Ricerche, (I)
• I am a Visiting Researcher at Cranfield University (UK)
• I am an affiliate at the Lawrence Berkeley Laboratory (USA)

Cranfield University

Teaching

University of Rome Tor Vergata (teaching in Italian unless specified otherwise)

• Ingegneria degli Algoritmi (Algorithms Engineering), AA 2022--2023
• Sistemi di calcolo parallelo e applicazioni (Parallel Computing Systems and Applications), AA 2022--2023
• Ingegneria degli Algoritmi (Algorithms Engineering), AA 2021--2022
• Sistemi di calcolo parallelo e applicazioni (Parallel Computing Systems and Applications), AA 2021--2022
• Ingegneria degli Algoritmi, AA 2020--2021
• Sistemi di calcolo parallelo e applicazioni, AA 2020--2021

Cranfield University

• Small Scale Parallel Programming 2022--2023
• Small Scale Parallel Programming 2021--2022
• Small Scale Parallel Programming 2020--2021

Cranfield University --- from 2015 to 2020

• Software Engineering
• Cloud Computing
• Small Scale Parallel Programming

University of Rome Tor Vergata --- until 2015

• Fondamenti di Informatica (Ing. Meccanica, Ing. Energetica, Ing. dell'Edilizia, M--Z) (A.A. 2014/2015)
• Fondamenti di Informatica (Ing. Meccanica e Ing. Energetica) (A.A. 2013/2014)
• Computational Methods (Mathematical Engineering) (A.A. 2013/2014)
• Fondamenti di Informatica (Ing. Meccanica) (A.A. 2012/2013)
• Computational Methods (Mathematical Engineering) (A.A. 2012/2013)
• Fondamenti di Informatica (Ing. Meccanica) (A.A. 2011/2012)
• Calcolo Numerico e Programmazione (Ing. Civile) (A.A. 2011/2012)
• Computational Methods (Mathematical Engineering) (A.A. 2011/2012)
• 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)

Short courses

• High Performance Computing Summer School
• Object-oriented programming in Fortran 2003; editions of the course have been given/scheduled at:
  • Supercomputing 2015, Austin, TX
  • Supercomputing 2014, New Orleans, LA
  • Oak Ridge Nat. Lab, Oak Ridge, TN
  • Supercomputing 2012, Salt Lake City, UT
  • NCAR, Boulder, CO
  • NERSC, Oakland, CA
  • University of California, Berkeley, CA
• Introduction to MPI for High Performance Computing, Istituto Nazionale di Fisica Nucleare INFN, Catania, Italy

My Professional Activities

• Co-Editor in Chief, Release Papers, and Associate Editor of the ACM Transactions on Mathematical Software.
• Program Committee Member for SC18.
• Program Committee Member for PGAS15.
• Program Committee Member for CANA '15.
• Program Committee Member for ICPP 2013.
• 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 and SIAM
• I am 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

• P. D'Ambra, F. Durastante, and S. Filippone: Parallel Sparse Computation Toolkit Software Impacts 2023,
• D. Bisandu, S. Filippone, I. Moulitsas Social Ski Driver Conditional Autoregressive-based Deep learning Classifier for flight delay prediction Neural Computing and Applications 2022
• P. D'Ambra, F. Durastante, S. Filippone AMG Preconditioners for Linear Solvers towards Extreme Scale SIAM J. Sci. Comput., SPECIAL SECTION Copper Mountain 2020, Vol. 43, No. 5, 2021, pp. S673-S703
• Rasmussen, S.; Gutmann, E.D.; Moulitsas, I.; Filippone, S. Fortran Coarray Implementation of Semi-Lagrangian Convected Air Particles within an Atmospheric Model. ChemEngineering 2021, 5, 21.
• N. Al Barrak, H. Alsanousi, I. Moulitsas, S. Filippone Using Big Data to Compare Classification Models for Household Credit Rating in Kuwait International Journal of Business and Social Sciences 2021
• H. Alsanousi, N. Al Barrak, I. Moulitsas, S. Filippone Understanding Customer Behaviours toward the Use of Electronic Banking Given Customer Characteristics and Financial Portfolios International Journal of Business and Social Science, Vol. 12, No. 01, (2021)
• A. Abdullahi, V. Cardellini, P. D'Ambra, D. di Serafino and S. Filippone Efficient Algebraic Multigrid Preconditioners on Clusters of GPUs, Parallel Processing Letters, Vol. 29, No. 01, 1950001 (2019)
• P. D'Ambra, S. Filippone, P. Vassilevski BootCMatch: a software package for bootstrap AMG based on graph weighted matching, ACM TOMS, Vol. 44, No. 4, Aug. 2018, Article No. 39,
• Cardellini V, Fanfarillo A, Filippone S Coarray-based load balancing on heterogeneous and many-core architectures. PARALLEL COMPUTING, ISSN: 0167-8191, 2017
• Salvatore Filippone, Valeria Cardellini, Davide Barbieri and Alessandro Fanfarillo: Sparse Matrix-Vector Multiplication on GPGPUs ACM Transactions on Mathematical Software (TOMS), Volume 43 Issue 4, December 2016, Article No. 30,
• Pasqua D'Ambra and Salvatore Filippone: A Parallel Generalized Relaxation Method for High-Performance Image Segmentation on GPUs Journal of Computational and Applied Mathematics, published online May 2015.
• Aziz Nanthaamornphong, Jeffrey Carver, Karla Morris, and Salvatore Filippone: Extracting UML Class Diagrams from Object-Oriented Fortran: ForUML. Scientific Programming, 2015.
• V. Cardellini, S. Filippone, D. Rouson: Design Patterns for sparse-matrix computations on hybrid CPU/GPU platforms. Scientific Programming, 22 (2014), pp. 1-19.
• P. D'Ambra, D. di Serafino, S. Filippone: Performance Analysis of Parallel Schwarz Preconditioners in the LES of Turbulent Channel FLows. Computers and Mathematics with Applications, 65 (2013), pp. 352-361
• Karla Morris, Damian W. I. Rouson, M. Nicole Lemaster, Salvatore Filippone: Exploring capabilities within ForTrilinos by solving the 3D Burgers equation. Scientific Programming, vol 20, pp. 275-292, 2012.
• S. Filippone, A. Buttari: Object-Oriented Techniques for Sparse Matrix Computations in Fortran 2003. ACM Trans. on Mathematical Software, 2012, Volume 38, No. 4.
• 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

• Morris K, Yelick K, Zheng Y, Filippone S, Bradford L, Long B -- (2017). Foreword (Editorial). In: Proceedings of PAW 2016: 1st PGAS -- Applications Workshop - Held in conjunction with SC 2016: The -- International Conference for High Performance Computing, Networking, -- Storage and Analysis. p. iv, ISBN: 978-150905214-1, doi: -- 10.1109/PAW.2016.004 --
• A. Abdullahi, P. D'Ambra, D. di Serafino and S. Filippone: -- Parallel Aggregation Based on Compatible Weighted Matching -- for AMG, Proceedings of LSSC '17. --
• Hassan A A, Cardellini V, Filippone S.: -- A framework for unit testing with Coarray Fortran. -- In: 25th High Performance Computing Symposium, HPC -- 2017. SIMULATION SERIES, vol. 49, p. 47-58, ISSN: 0735-9276, 2017 --
• Cardellini V, Fanfarillo A, Filippone S, Rouson D: Hybrid -- coarrays: A PGAS feature for many-core -- architectures. In: Parallel Computing: On the Road to -- Exascale. ADVANCES IN PARALLEL COMPUTING, vol. 27, p. 175-184, ISSN: -- 0927-5452, Edinborough, 2016 --
• Cardellini V, Fanfarillo A, Filippone S: -- Overlapping Communication with Computation in MPI Applications, -- Technical Report RR.16.2, DICII, Univ. Rome Tor Vergata, 2016. --
• Barbieri D, Cardellini V, Filippone S.: SIMPL: A pattern -- language for writing efficient kernels on -- GPGPU. In: SE4HPCS'15: The 2015 International Workshop on -- Software Engineering for High Performance Computing in -- Science. PROCEEDINGS - INTERNATIONAL CONFERENCE ON SOFTWARE -- ENGINEERING, p. 38-45, ISBN: 978-1-4799-1934-5, ISSN: 0270-5257, doi: -- 10.1109/ICSE.2015.324 --
• Alessandro Fanfarillo, Tobias Burnus, Valeria Cardellini, Salvatore Filippone, Dan Nagle, Damian Rouson OpenCoarrays: Open-source Transport Layers Supporting Coarray Fortran Compilers PGAS 2014, Eugene, OR, Oct. 2014
• Cardellini V, Fanfarillo A, Filippone S (2014). Sparse matrix computations on clusters with GPGPUs. In: Proceedings of the 2014 International Conference on High Performance Computing and Simulation (HPCS 2014). p. 23-30, IEEE, ISBN: 978-1-4799-5313-4, Bologna, Italy, 2014
• Barbieri D, Cardellini V, Filippone S (2014). Exhaustive key search on clusters of GPUs. In: 2014 28th IEEE International Parallel \& Distributed Processing Symposium Workshops. p. 1160-1168, IEEE, ISBN: 978-1-4799-4116-2, Phoenix, Arizona, 2014, doi:10.1109/IPDPSW.2014.131
• Daniele Bertaccini and Salvatore Filippone Approximate Inverse Preconditioners for Krylov Methods on Heterogeneous Parallel Computers Proceedings of PARCO 2013, Munich, Sep. 2013
• Valeria Cardellini, Alessandro Fanfarillo and Salvatore Filippone Heterogeneous Sparse Matrix Computations on Hybrid GPU/CPU Platforms Proceedings of PARCO 2013, Munich, Sep. 2013
• Davide Barbieri, Valeria Cardellini and Salvatore Filippone Fast Uniform Grid Construction on GPGPUs Using Atomic Operations Proceedings of PARCO 2013, Munich, Sep. 2013;
• Davide Barbieri, Valeria Cardellini, Salvatore Filippone and Damian Rouson Design Patterns for Scientific Computations on Sparse Matrices M. Alexander et al. (Eds.): Euro-Par 2011 Workshops, Part I, LNCS 7155, pp. 367--376. Springer, Heidelberg (2012)
• 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

Theses

PhD

• S. Rasmussen: Programming Language Expansion for Science and Engineering Applications on Modern High Performance Computing Platforms, 2021 (Cranfield University)
• Hessa Abdulaziz Alsanousi: Enhancing bank profitability by applying machine learning techniques on financial data to intelligently predict customer behaviour towards the use of electronic channels, 2021 (Cranfield University)
• Najlah Saleh AlBarrak: Modelling the Probability of Household Loan Default for Conventional and Islamic Banking, 2021 (Cranfield University)
• A. Fanfarillo: Parallel Programming Techniques for Heterogeneous Exascale Computing Platforms, 2015
• D. Barbieri: SIMPL: A Pattern Language for writing Efficient Kernels on GPU architectures, 2015
• 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

My non-Professional Activities

• I love classical music, most of all renaissance polyphony, Bach and Mozart;
• I practice(d) swimming
• I love cooking (as well as eating): no one who has tried my cooking has ever complained (references available upon request ;-)