Marco Lattuada
Marco Lattuada
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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
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
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
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
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
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
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
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
Code transformations based on speculative SDC scheduling
M Lattuada, F Ferrandi
2015 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 71-77, 2015
Exploiting outer loops vectorization in high level synthesis
M Lattuada, F Ferrandi
Architecture of Computing Systems–ARCS 2015, 31-42, 2015
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
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
Performance estimation for task graphs combining sequential path profiling and control dependence regions
F Ferrandi, M Lattuada, C Pilato, A Tumeo
2009 7th IEEE/ACM International Conference on Formal Methods and Models for …, 2009
Exploiting vectorization in high level synthesis of nested irregular loops
M Lattuada, F Ferrandi
Journal of Systems Architecture 75, 1-14, 2017
Efficient synthesis of graph methods: A dynamically scheduled architecture
M Minutoli, VG Castellana, A Tumeo, M Lattuada, F Ferrandi
2016 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 1-8, 2016
Performance prediction of deep learning applications training in GPU as a service systems
M Lattuada, E Gianniti, D Ardagna, L Zhang
Cluster Computing, 1-24, 2022
Modeling pipelined application with synchronous data flow graphs
M Lattuada, F Ferrandi
2013 International Conference on Embedded Computer Systems: Architectures …, 2013
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
A design flow engine for the support of customized dynamic high level synthesis flows
M Lattuada, F Ferrandi
ACM Transactions on Reconfigurable Technology and Systems (TRETS) 12 (4), 1-26, 2019
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
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