Marco Aldinucci
Marco Aldinucci
Full Professor in Computer Science, University of Torino
Verified email at - Homepage
Cited by
Cited by
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
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
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
An advanced environment supporting structured parallel programming in Java
M Aldinucci, M Danelutto, P Teti
Future Generation Computer Systems 19 (5), 611-626, 2003
Accelerating code on multi-cores with fastflow
M Aldinucci, M Danelutto, P Kilpatrick, M Meneghin, M Torquati
Euro-Par 2011 Parallel Processing: 17th International Conference, Euro-Par …, 2011
Stream parallel skeleton optimization
M Aldinucci, M Danelutto
Proc. of PDCS: Intl. Conference on Parallel and Distributed Computing and …, 1999
An efficient unbounded lock-free queue for multi-core systems
M Aldinucci, M Danelutto, P Kilpatrick, M Meneghin, M Torquati
Euro-Par 2012 Parallel Processing: 18th International Conference, Euro-Par …, 2012
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
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
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
Targeting Distributed Systems in FastFlow
M Aldinucci, S Campa, M Danelutto, P Kilpatrick, M Torquati
Euro-Par 2012: Parallel Processing Workshops: BDMC, CGWS, HeteroPar, HiBB …, 2013
Muskel: an expandable skeleton environment
M Aldinucci, M Danelutto, P Dazzi
Scalable Computing: Practice and Experience 8 (4), 2007
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
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
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: Proceedings of the …, 2005
StreamFlow: cross-breeding cloud with HPC
I Colonnelli, B Cantalupo, I Merelli, M Aldinucci
IEEE Transactions on Emerging Topics in Computing 9 (4), 1723-1737, 2020
Dynamic reconfiguration of grid-aware applications in ASSIST
M Aldinucci, A Petrocelli, E Pistoletti, M Torquati, M Vanneschi, L Veraldi, ...
Euro-Par 2005 Parallel Processing: 11th International Euro-Par Conference …, 2005
HPC4AI: an ai-on-demand federated platform endeavour
M Aldinucci, S Rabellino, M Pironti, F Spiga, P Viviani, M Drocco, ...
Proceedings of the 15th ACM International Conference on Computing Frontiers …, 2018
The Implementation of ASSIST, an Environment for Parallel and Distributed Programming
M Aldinucci, S Campa, P Ciullo, M Coppola, S Magini, P Pesciullesi, ...
Euro-Par 2003 Parallel Processing: 9th International Euro-Par Conference …, 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
The system can't perform the operation now. Try again later.
Articles 1–20