| Bagan: Data augmentation with balancing gan G Mariani, F Scheidegger, R Istrate, C Bekas, C Malossi arXiv preprint arXiv:1803.09655, 2018 | 452 | 2018 |
| Napel: Near-memory computing application performance prediction via ensemble learning G Singh, J Gómez-Luna, G Mariani, GF Oliveira, S Corda, S Stuijk, ... Proceedings of the 56th annual design automation conference 2019, 1-6, 2019 | 118 | 2019 |
| 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 | 115 | 2011 |
| 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 | 112 | 2016 |
| Mixed-precision deep learning based on computational memory SR Nandakumar, M Le Gallo, C Piveteau, V Joshi, G Mariani, I Boybat, ... Frontiers in neuroscience 14, 406, 2020 | 111 | 2020 |
| 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 | 79 | 2010 |
| 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 (01), 3927-3934, 2019 | 77 | 2019 |
| 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 | 69 | 2011 |
| 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 Proceedings of the 47th Design Automation Conference, 120-125, 2010 | 66 | 2010 |
| 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 37 (6), 1593-1610, 2021 | 56 | 2021 |
| Distilling optimal neural networks: Rapid search in diverse spaces B Moons, P Noorzad, A Skliar, G Mariani, D Mehta, C Lott, T Blankevoort Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 53 | 2021 |
| 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 | 52 | 2012 |
| 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 | 51 | 2010 |
| 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 | 45 | 2014 |
| 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 | 38 | 2017 |
| 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 | 38 | 2017 |
| An instrumentation approach for hardware-agnostic software characterization A Anghel, LM Vasilescu, R Jongerius, G Dittmann, G Mariani Proceedings of the 12th ACM International Conference on Computing Frontiers, 1-8, 2015 | 35 | 2015 |
| 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 | 34 | 2012 |
| Bagan: Data augmentation with balancing gan. arXiv 2018 G Mariani, F Scheidegger, R Istrate, C Bekas, C Malossi arXiv preprint arXiv:1803.09655, 0 | 31 | |
| Predicting cloud performance for HPC applications before deployment G Mariani, A Anghel, R Jongerius, G Dittmann Future Generation Computer Systems 87, 618-628, 2018 | 24 | 2018 |
Gianluca PalermoFull Professor at Politecnico di MilanoBestätigte E-Mail-Adresse bei polimi.it
