Giovanni Mariani
Title
Cited by
Cited by
Year
Bagan: Data augmentation with balancing gan
G Mariani, F Scheidegger, R Istrate, C Bekas, C Malossi
arXiv preprint arXiv:1803.09655, 2018
1082018
Multicube: Multi-objective design space exploration of multi-core architectures
C Silvano, W Fornaciari, G Palermo, V Zaccaria, F Castro, M Martinez, ...
VLSI 2010 Annual Symposium, 47-63, 2011
942011
An industrial design space exploration framework for supporting run-time resource management on multi-core systems
G Mariani, P Avasare, G Vanmeerbeeck, C Ykman-Couvreur, G Palermo, ...
2010 Design, Automation & Test in Europe Conference & Exhibition (DATE 2010 …, 2010
682010
Linking run-time resource management of embedded multi-core platforms with automated design-time exploration
C Ykman-Couvreur, P Avasare, G Mariani, G Palermo, C Silvano, ...
IET Computers & Digital Techniques 5 (2), 123-135, 2011
582011
Cobayn: Compiler autotuning framework using bayesian networks
AH Ashouri, G Mariani, G Palermo, E Park, J Cavazos, C Silvano
ACM Transactions on Architecture and Code Optimization (TACO) 13 (2), 1-25, 2016
552016
A correlation-based design space exploration methodology for multi-processor systems-on-chip
G Mariani, A Brankovic, G Palermo, J Jovic, V Zaccaria, C Silvano
Design Automation Conference, 120-125, 2010
552010
Multicube explorer: An open source framework for design space exploration of chip multi-processors
V Zaccaria, G Palermo, F Castro, C Silvano, G Mariani
23th International Conference on Architecture of Computing Systems 2010, 1-7, 2010
442010
OSCAR: An optimization methodology exploiting spatial correlation in multicore design spaces
G Mariani, G Palermo, V Zaccaria, C Silvano
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2012
352012
A Bayesian network approach for compiler auto-tuning for embedded processors
AH Ashouri, G Mariani, G Palermo, C Silvano
2014 IEEE 12th Symposium on Embedded Systems for Real-time Multimedia …, 2014
302014
Using multi-objective design space exploration to enable run-time resource management for reconfigurable architectures
G Mariani, VM Sima, G Palermo, V Zaccaria, C Silvano, K Bertels
2012 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2012
282012
Tapas: Train-less accuracy predictor for architecture search
R Istrate, F Scheidegger, G Mariani, D Nikolopoulos, C Bekas, ...
Proceedings of the AAAI Conference on Artificial Intelligence 33, 3927-3934, 2019
272019
Application-specific topology design customization for stnoc
G Palermo, C Silvano, G Mariani, R Locatelli, M Coppola
10th Euromicro Conference on Digital System Design Architectures, Methods …, 2007
232007
An instrumentation approach for hardware-agnostic software characterization
A Anghel, LM Vasilescu, G Mariani, R Jongerius, G Dittmann
International Journal of Parallel Programming 44 (5), 924-948, 2016
222016
Analytic multi-core processor model for fast design-space exploration
R Jongerius, A Anghel, G Dittmann, G Mariani, E Vermij, H Corporaal
IEEE Transactions on Computers 67 (6), 755-770, 2017
182017
Predicting cloud performance for hpc applications: A user-oriented approach
G Mariani, A Anghel, R Jongerius, G Dittmann
2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid …, 2017
172017
A design space exploration methodology supporting run-time resource management for multi-processor systems-on-chip
G Mariani, G Palermo, C Silvano, V Zaccaria
2009 IEEE 7th Symposium on Application Specific Processors, 21-28, 2009
172009
NAPEL: Near-memory computing application performance prediction via ensemble learning
G Singh, J Gómez-Luna, G Mariani, GF Oliveira, S Corda, S Stuijk, ...
2019 56th ACM/IEEE Design Automation Conference (DAC), 1-6, 2019
162019
Analytic processor model for fast design-space exploration
R Jongerius, G Mariani, A Anghel, G Dittmann, E Vermij, H Corporaal
2015 33rd IEEE International Conference on Computer Design (ICCD), 411-414, 2015
162015
DeSpErate++: An enhanced design space exploration framework using predictive simulation scheduling
G Mariani, G Palermo, V Zaccaria, C Silvano
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2014
142014
Efficient image dataset classification difficulty estimation for predicting deep-learning accuracy
F Scheidegger, R Istrate, G Mariani, L Benini, C Bekas, C Malossi
The Visual Computer, 1-18, 2020
132020
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Articles 1–20