Marco Lattuada
Marco Lattuada
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Bambu: an open-source research framework for the high-level synthesis of complex applications
F Ferrandi, VG Castellana, S Curzel, P Fezzardi, M Fiorito, M Lattuada, ...
2021 58th ACM/IEEE Design Automation Conference (DAC), 1327-1330, 2021
Hartes: Hardware-software codesign for heterogeneous multicore platforms
K Bertels, VM Sima, Y Yankova, G Kuzmanov, W Luk, G Coutinho, ...
IEEE micro 30 (5), 88-97, 2010
Machine learning for performance prediction of spark cloud applications
A Maros, F Murai, APC da Silva, JM Almeida, M Lattuada, E Gianniti, ...
2019 IEEE 12th International Conference on Cloud Computing (CLOUD), 99-106, 2019
BIGSEA: A Big Data analytics platform for public transportation information
AS Alic, J Almeida, G Aloisio, N Andrade, N Antunes, D Ardagna, ...
Future generation computer systems 96, 243-269, 2019
The role of internet of things and digital twin in healthcare digitalization process
C Patrone, M Lattuada, G Galli, R Revetria
Transactions on Engineering Technologies: World Congress on Engineering and …, 2020
Performance modeling of embedded applications with zero architectural knowledge
M Lattuada, F Ferrandi
Proceedings of the eighth IEEE/ACM/IFIP international conference on Hardware …, 2010
Svelto: High-level synthesis of multi-threaded accelerators for graph analytics
M Minutoli, VG Castellana, N Saporetti, S Devecchi, M Lattuada, ...
IEEE Transactions on Computers 71 (3), 520-533, 2021
High level synthesis of RDF queries for graph analytics
VG Castellana, M Minutoli, A Morari, A Tumeo, M Lattuada, F Ferrandi
2015 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 323-330, 2015
Performance prediction of deep learning applications training in GPU as a service systems
M Lattuada, E Gianniti, D Ardagna, L Zhang
Cluster Computing 25 (2), 1279-1302, 2022
Code transformations based on speculative SDC scheduling
M Lattuada, F Ferrandi
2015 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 71-77, 2015
Using efficient path profiling to optimize memory consumption of on-chip debugging for high-level synthesis
P Fezzardi, M Lattuada, F Ferrandi
ACM Transactions on Embedded Computing Systems (TECS) 16 (5s), 1-19, 2017
Comparing industry frameworks with deeply quantized neural networks on microcontrollers
D Pau, M Lattuada, F Loro, A De Vita, GD Licciardo
2021 IEEE International Conference on Consumer Electronics (ICCE), 1-6, 2021
Automatic parallelization of sequential specifications for symmetric mpsocs
F Ferrandi, L Fossati, M Lattuada, G Palermo, D Sciuto, A Tumeo
Embedded System Design: Topics, Techniques and Trends, 179-192, 2007
Exploiting outer loops vectorization in high level synthesis
M Lattuada, F Ferrandi
Architecture of Computing Systems–ARCS 2015: 28th International Conference …, 2015
Optimizing on-demand gpus in the cloud for deep learning applications training
A Jahani, M Lattuada, M Ciavotta, D Ardagna, E Amaldi, L Zhang
2019 4th International Conference on Computing, Communications and Security …, 2019
Performance modeling of parallel applications on MPSoCs
M Lattuada, C Pilato, A Tumeo, F Ferrandi
2009 International Symposium on System-on-Chip, 064-067, 2009
Architectural design of cloud applications: A performance-aware cost minimization approach
M Ciavotta, GP Gibilisco, D Ardagna, E Di Nitto, M Lattuada, MAA da Silva
IEEE Transactions on Cloud Computing 10 (3), 1571-1591, 2020
Optimal resource allocation of cloud-based spark applications
M Lattuada, E Barbierato, E Gianniti, D Ardagna
IEEE Transactions on Cloud Computing 10 (2), 1301-1316, 2020
Non-invAsive VentIlation for early General wArd respiraTory failurE (NAVIGATE): A multicenter randomized controlled study. Protocol and statistical analysis plan
L Cabrini, C Brusasco, A Roasio, F Corradi, P Nardelli, M Filippini, ...
Contemporary clinical trials 78, 126-132, 2019
Internet of things application in the healthcare sector
C Patrone, A Khodabakhsh, M Lattuada, R Revetria
Hospital 4 (2), 3, 2018
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