Marco Aldinucci

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Marco DaneluttoProfessor, Dept. of Computer Science, Univ. of PisaEmail verificata su unipi.it
Massimo TorquatiComputer Science Department University of Pisa, ItalyEmail verificata su unipi.it
Peter KilpatrickReader in Computer Science, Queen's University BelfastEmail verificata su qub.ac.uk
Maurizio DroccoIBMEmail verificata su ibm.com
Concetto SpampinatoUniversity of CataniaEmail verificata su dieei.unict.it
Claudia MisaleResearch Staff Member, IBM ResearchEmail verificata su ibm.com
Patrizio DazziDepartment of Computer Science, University of PisaEmail verificata su unipi.it
Fabio TordiniDiatech PharmacogeneticsEmail verificata su diatechpgx.com
Simone PalazzoUniversity of CataniaEmail verificata su dieei.unict.it
Ivan MerelliResearcher in Bioinformatics, Institute for Biomedical TechnologiesEmail verificata su itb.cnr.it
Daniela GiordanoProfessor of Artificial Intelligence at the University of CataniaEmail verificata su diit.unict.it
Nicola TonellottoAssociate Professor, University of PisaEmail verificata su unipi.it
P. Lió, Pietro Lio, P. Lio, Pietro Liò, Pie...University of CambridgeEmail verificata su cam.ac.uk
Iacopo ColonnelliUniversità di TorinoEmail verificata su unito.it
R RavazzoloProfessore di Genetica, Università di Genova, Istituto G. GasliniEmail verificata su unige.it
Paolo VivianiLINKS FoundationEmail verificata su linksfoundation.com
Sergei GorlatchUniversity of Muenster, GermanyEmail verificata su wwu.de
Barbara CantalupoUniversity of TorinoEmail verificata su unito.it
Andrea BraccialiSICSA Lecturer, Stirling UniversityEmail verificata su cs.stir.ac.uk
Sergio RabellinoComputer Science Department, University of TorinoEmail verificata su di.unito.it

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Marco Aldinucci

Full Professor in Computer Science, University of Torino

Email verificata su unito.it - Home page

Parallel programming models parallel programming Runtime Systems HPC cloud engineering


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Deep learning for automated skeletal bone age assessment in X-ray images C Spampinato, S Palazzo, D Giordano, M Aldinucci, R Leonardi Medical image analysis 36, 41-51, 2017	338	2017
Fastflow: high-level and efficient streaming on multi-core M Aldinucci, M Danelutto, P Kilpatrick, Torquati, Massimo Programming Multi-core and Many-core Computing Systems, Parallel and …, 2017	301	2017
An advanced environment supporting structured parallel programming in Java M Aldinucci, M Danelutto, P Teti Future Generation Computer Systems 19 (5), 611-626, 2003	153	2003
Accelerating code on multi-cores with fastflow M Aldinucci, M Danelutto, P Kilpatrick, M Meneghin, M Torquati European Conference on Parallel Processing, 170-181, 2011	110	2011
Stream parallel skeleton optimization M Aldinucci, M Danelutto Proc. of PDCS: Intl. Conference on Parallel and Distributed Computing and …, 1999	95	1999
Behavioural skeletons in GCM: autonomic management of grid components M Aldinucci, S Campa, M Danelutto, M Vanneschi, P Kilpatrick, P Dazzi, ... 16th Euromicro Conference on Parallel, Distributed and Network-Based …, 2008	94	2008
Efficient Smith-Waterman on multi-core with FastFlow M Aldinucci, M Meneghin, M Torquati 2010 18th Euromicro Conference on Parallel, Distributed and Network-based …, 2010	88	2010
An efficient unbounded lock-free queue for multi-core systems M Aldinucci, M Danelutto, P Kilpatrick, M Meneghin, M Torquati European Conference on Parallel Processing, 662-673, 2012	87	2012
Machine learning-based prediction of adverse events following an acute coronary syndrome (PRAISE): a modelling study of pooled datasets F D'Ascenzo, O De Filippo, G Gallone, G Mittone, MA Deriu, ... The Lancet 397 (10270), 199-207, 2021	82	2021
Targeting distributed systems in fastflow M Aldinucci, S Campa, M Danelutto, P Kilpatrick, M Torquati European Conference on Parallel Processing, 47-56, 2012	76	2012
Muskel: an expandable skeleton environment M Aldinucci, M Danelutto, P Dazzi Scalable Computing: Practice and Experience 8 (4), 2007	75	2007
Skeleton-based parallel programming: Functional and parallel semantics in a single shot M Aldinucci, M Danelutto Computer Languages, Systems & Structures 33 (3-4), 179-192, 2007	71	2007
Components for high-performance grid programming in GRID. IT M Aldinucci, S Campa, M Coppola, M Danelutto, D Laforenza, D Puppin, ... Component Models and Systems for Grid Applications, 19-38, 2005	70	2005
Dynamic reconfiguration of grid-aware applications in ASSIST M Aldinucci, A Petrocelli, E Pistoletti, M Torquati, M Vanneschi, L Veraldi, ... European Conference on Parallel Processing, 771-781, 2005	61	2005
OCCAM: a flexible, multi-purpose and extendable HPC cluster M Aldinucci, S Bagnasco, S Lusso, P Pasteris, S Rabellino, S Vallero Journal of Physics: Conference Series 898 (8), 082039, 2017	59*	2017
ASSIST as a research framework for high-performance Grid programming environments M Aldinucci, M Coppola, M Vanneschi, C Zoccolo, M Danelutto Grid computing: Software environments and tools, 230-256, 2006	57	2006
The Implementation of ASSIST, an Environment for Parallel and Distributed Programming M Aldinucci, S Campa, P Ciullo, M Coppola, S Magini, P Pesciullesi, ... European Conference on Parallel Processing, 712-721, 2003	57	2003
The ParaPhrase Project: Parallel patterns for adaptive heterogeneous multicore systems K Hammond, M Aldinucci, C Brown, F Cesarini, M Danelutto, ... Formal Methods for Components and Objects: 10th International Symposium …, 2013	52	2013
Autonomic management of non-functional concerns in distributed & parallel application programming M Aldinucci, M Danelutto, P Kilpatrick 2009 IEEE International Symposium on Parallel & Distributed Processing, 1-12, 2009	50	2009
Towards parallel programming by transformation: The FAN skeleton framework M Aldinucci, S Gorlatch, C Lengauer, S Pelagatti PARALLEL ALGORITHMS AND APPLICATION 16 (2), 87-121, 2001	50	2001

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