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ORCIDMarco Lattuada 0001
Person information
- affiliation: Politecnico di Milano, Italy
Other persons with the same name
- Marco Lattuada 0002
![[0000-0001-7058-9509]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-7058-9509")
— University of Fribourg, Switzerland
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2020 – today
- 2023
[j13]Federica Filippini, Marco Lattuada, Michele Ciavotta, Arezoo Jahani, Danilo Ardagna, Edoardo Amaldi:
A Path Relinking Method for the Joint Online Scheduling and Capacity Allocation of DL Training Workloads in GPU as a Service Systems. IEEE Trans. Serv. Comput. 16(3): 1630-1646 (2023)- [c26]Bruno Guindani, Marco Lattuada, Danilo Ardagna:
aMLLibrary: An AutoML Approach For Performance Prediction. ECMS 2023: 215-221 - [c25]Fabrizio De Vita, Rawan M. A. Nawaiseh, Dario Bruneo, Valeria Tomaselli, Marco Lattuada, Mirko Falchetto:
µ-FF: On-Device Forward-Forward Training Algorithm for Microcontrollers. SMARTCOMP 2023: 49-56 - 2022
- [j12]Marco Lattuada, Eugenio Gianniti, Danilo Ardagna, Li Zhang:
Performance prediction of deep learning applications training in GPU as a service systems. Clust. Comput. 25(2): 1279-1302 (2022) - [j11]Marco Minutoli, Vito Giovanni Castellana, Nicola Saporetti, Stefano Devecchi, Marco Lattuada, Pietro Fezzardi, Antonino Tumeo, Fabrizio Ferrandi:
Svelto: High-Level Synthesis of Multi-Threaded Accelerators for Graph Analytics. IEEE Trans. Computers 71(3): 520-533 (2022) - [j10]Marco Lattuada, Enrico Barbierato, Eugenio Gianniti, Danilo Ardagna:
Optimal Resource Allocation of Cloud-Based Spark Applications. IEEE Trans. Cloud Comput. 10(2): 1301-1316 (2022) - [j9]Michele Ciavotta, Giovanni Paolo Gibilisco, Danilo Ardagna, Elisabetta Di Nitto, Marco Lattuada, Marcos Aurélio Almeida da Silva:
Architectural Design of Cloud Applications: A Performance-Aware Cost Minimization Approach. IEEE Trans. Cloud Comput. 10(3): 1571-1591 (2022) - [c24]Danilo Pau, Davide Denaro, Marco Lattuada, Mahdi Mseddi:
Neural keypoint detection for visual gestures on micro-controllers. MetroXRAINE 2022: 175-180 - 2021
- [c23]Fabrizio Ferrandi, Vito Giovanni Castellana, Serena Curzel, Pietro Fezzardi, Michele Fiorito, Marco Lattuada, Marco Minutoli, Christian Pilato, Antonino Tumeo:
Invited: Bambu: an Open-Source Research Framework for the High-Level Synthesis of Complex Applications. DAC 2021: 1327-1330 - [c22]Federica Filippini, Danilo Ardagna, Marco Lattuada, Edoardo Amaldi, Maciek Riedl, Katarzyna Materka, Pawel Skrzypek, Michele Ciavotta, Fabrizio Magugliani, Marco Cicala:
ANDREAS: Artificial intelligence traiNing scheDuler foR accElerAted resource clusterS. FiCloud 2021: 388-393 - [c21]Danilo Pau, Marco Lattuada, Francesco Loro, Antonio De Vita, Gian Domenico Licciardo:
Comparing Industry Frameworks with Deeply Quantized Neural Networks on Microcontrollers. ICCE 2021: 1-6 - [i2]Federica Filippini, Danilo Ardagna, Marco Lattuada, Edoardo Amaldi, Michele Ciavotta, Maciek Riedl, Katarzyna Materka, Pawel Skrzypek, Fabrizio Magugliani, Marco Cicala:
ANDREAS: Artificial intelligence traiNing scheDuler foR accElerAted resource clusterS. CoRR abs/2105.05080 (2021) - [i1]Alexandre Maros, Fabricio Murai, Ana Paula Couto da Silva, Jussara M. Almeida, Marco Lattuada, Eugenio Gianniti, Marjan Hosseini, Danilo Ardagna:
Machine Learning for Performance Prediction of Spark Cloud Applications. CoRR abs/2108.12214 (2021) - 2020
- [c20]Federica Filippini, Marco Lattuada, Arezoo Jahani, Michele Ciavotta, Danilo Ardagna, Edoardo Amaldi:
Hierarchical Scheduling in on-demand GPU-as-a-Service Systems. SYNASC 2020: 125-132
2010 – 2019
- 2019
- [j8]Andy S. Alic, Jussara M. Almeida, Giovanni Aloisio, Nazareno Andrade, Nuno Antunes, Danilo Ardagna, Rosa M. Badia, Tânia Basso, Ignacio Blanquer, Tarciso Braz, Andrey Brito, Donatello Elia, Sandro Fiore, Dorgival O. Guedes, Marco Lattuada, Daniele Lezzi, Matheus Maciel, Wagner Meira Jr., Demetrio Gomes Mestre, Regina Moraes, Fábio Morais, Carlos Eduardo S. Pires, Nádia P. Kozievitch, Walter dos Santos, Paulo Silva, Marco Vieira:
BIGSEA: A Big Data analytics platform for public transportation information. Future Gener. Comput. Syst. 96: 243-269 (2019) - [j7]Marco Lattuada, Fabrizio Ferrandi:
A Design Flow Engine for the Support of Customized Dynamic High Level Synthesis Flows. ACM Trans. Reconfigurable Technol. Syst. 12(4): 19:1-19:26 (2019) - [c19]Alexandre Maros, Fabricio Murai, Ana Paula Couto da Silva, Jussara M. Almeida, Marco Lattuada, Eugenio Gianniti, Marjan Hosseini, Danilo Ardagna:
Machine Learning for Performance Prediction of Spark Cloud Applications. CLOUD 2019: 99-106 - [c18]Vito Giovanni Castellana, Marco Minutoli, Antonino Tumeo, Marco Lattuada, Pietro Fezzardi, Fabrizio Ferrandi:
Software defined architectures for data analytics. ASP-DAC 2019: 711-718 - [c17]Marco Lattuada, Eugenio Gianniti, Marjan Hosseini, Danilo Ardagna, Alexandre Maros, Fabricio Murai, Ana Paula Couto da Silva, Jussara M. Almeida:
Gray-Box Models for Performance Assessment of Spark Applications. CLOSER 2019: 609-618 - [c16]Arezoo Jahani, Marco Lattuada, Michele Ciavotta, Danilo Ardagna, Edoardo Amaldi, Li Zhang:
Optimizing on-demand GPUs in the Cloud for Deep Learning Applications Training. ICCCS 2019: 1-8 - 2018
- [j6]Marco Lattuada, Fabrizio Ferrandi, Maxime Perrotin:
Data Transfers Analysis in Computer Assisted Design Flow of FPGA Accelerators for Aerospace Systems. IEEE Trans. Multi Scale Comput. Syst. 4(1): 3-16 (2018) - 2017
- [j5]Marco Lattuada, Fabrizio Ferrandi:
Exploiting vectorization in high level synthesis of nested irregular loops. J. Syst. Archit. 75: 1-14 (2017) - [j4]Pietro Fezzardi, Marco Lattuada, Fabrizio Ferrandi:
Using Efficient Path Profiling to Optimize Memory Consumption of On-Chip Debugging for High-Level Synthesis. ACM Trans. Embed. Comput. Syst. 16(5s): 149:1-149:19 (2017) - 2016
- [j3]Marco Lattuada, Christian Pilato, Fabrizio Ferrandi:
Performance Estimation of Task Graphs Based on Path Profiling. Int. J. Parallel Program. 44(4): 735-771 (2016) - [c15]Marco Minutoli, Vito Giovanni Castellana, Antonino Tumeo, Marco Lattuada, Fabrizio Ferrandi:
Enabling the high level synthesis of data analytics accelerators. CODES+ISSS 2016: 15:1-15:3 - [c14]Marco Minutoli, Vito Giovanni Castellana, Antonino Tumeo, Fabrizio Ferrandi, Marco Lattuada:
A Dynamically Scheduled Architecture for the Synthesis of Graph Database Queries. FCCM 2016: 136 - [c13]Marco Minutoli, Vito Giovanni Castellana, Antonino Tumeo, Marco Lattuada, Fabrizio Ferrandi:
A dynamically scheduled architecture for the synthesis of graph methods. Hot Chips Symposium 2016: 1-7 - [c12]Marco Minutoli, Vito Giovanni Castellana, Antonino Tumeo, Marco Lattuada, Fabrizio Ferrandi:
Efficient synthesis of graph methods: a dynamically scheduled architecture. ICCAD 2016: 128 - 2015
- [j2]Marco Lattuada, Fabrizio Ferrandi:
Modeling Resolution of Resources Contention in Synchronous Data Flow Graphs. J. Signal Process. Syst. 80(1): 39-47 (2015) - [c11]Marco Lattuada, Fabrizio Ferrandi:
Exploiting Outer Loops Vectorization in High Level Synthesis. ARCS 2015: 31-42 - [c10]Marco Lattuada, Fabrizio Ferrandi:
Code Transformations Based on Speculative SDC Scheduling. ICCAD 2015: 71-77 - [c9]Vito Giovanni Castellana, Marco Minutoli, Alessandro Morari, Antonino Tumeo, Marco Lattuada, Fabrizio Ferrandi:
High Level Synthesis of RDF Queries for Graph Analytics. ICCAD 2015: 323-330 - 2013
- [c8]Marco Lattuada, Fabrizio Ferrandi:
Modeling pipelined application with Synchronous Data Flow graphs. ICSAMOS 2013: 49-55 - 2012
- [c7]Marco Lattuada, Fabrizio Ferrandi:
Performance estimation of embedded software with confidence levels. ASP-DAC 2012: 573-578 - 2010
- [b1]Marco Lattuada:
A methodology for performance estimation of heterogeneous multiprocessors embedded systems. Polytechnic University of Milan, Italy, 2010 - [j1]Koen Bertels, Vlad Mihai Sima, Yana Yankova, Georgi Kuzmanov, Wayne Luk, José Gabriel F. Coutinho, Fabrizio Ferrandi, Christian Pilato, Marco Lattuada, Donatella Sciuto, Andrea Michelotti:
HArtes: Hardware-Software Codesign for Heterogeneous Multicore Platforms. IEEE Micro 30(5): 88-97 (2010) - [c6]Marco Lattuada, Fabrizio Ferrandi:
Combining Target-independent Analysis with Dynamic Profiling to Build the Performance Model of a DSP. CIT 2010: 1895-1901 - [c5]Marco Lattuada, Fabrizio Ferrandi:
Performance modeling of embedded applications with zero architectural knowledge. CODES+ISSS 2010: 277-286 - [c4]Marco Lattuada, Fabrizio Ferrandi:
Fine grain analysis of simulators accuracy for calibrating performance models. International Symposium on Rapid System Prototyping 2010: 1-7
2000 – 2009
- 2009
- [c3]Marco Lattuada, Christian Pilato, Antonino Tumeo, Fabrizio Ferrandi:
Performance modeling of parallel applications on MPSoCs. SoC 2009: 64-67 - [c2]Fabrizio Ferrandi, Marco Lattuada, Christian Pilato, Antonino Tumeo:
Performance estimation for task graphs combining sequential path profiling and control dependence regions. MEMOCODE 2009: 131-140 - 2007
- [c1]Fabrizio Ferrandi, Luca Fossati, Marco Lattuada, Gianluca Palermo, Donatella Sciuto, Antonino Tumeo:
Automatic Parallelization of Sequential Specifications for Symmetric MPSoCs. IESS 2007: 179-192
Coauthor Index
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