Marco Lattuada

According to our database, Marco Lattuada authored at least 40 papers between 2007 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

A Path Relinking Method for the Joint Online Scheduling and Capacity Allocation of DL Training Workloads in GPU as a Service Systems.

Federica Filippini, Marco Lattuada, Michele Ciavotta, Arezoo Jahani, Danilo Ardagna, Edoardo Amaldi

IEEE Trans. Serv. Comput., 2023

µ-FF: On-Device Forward-Forward Training Algorithm for Microcontrollers.

Fabrizio De Vita, Rawan M. A. Nawaiseh, Dario Bruneo, Valeria Tomaselli, Marco Lattuada, Mirko Falchetto

Proceedings of the 2023 IEEE International Conference on Smart Computing, 2023

aMLLibrary: An AutoML Approach For Performance Prediction.

Bruno Guindani, Marco Lattuada, Danilo Ardagna

Proceedings of the 37th ECMS International Conference on Modelling and Simulation, 2023

2022

Optimal Resource Allocation of Cloud-Based Spark Applications.

Marco Lattuada, Enrico Barbierato, Eugenio Gianniti, Danilo Ardagna

IEEE Trans. Cloud Comput., 2022

Architectural Design of Cloud Applications: A Performance-Aware Cost Minimization Approach.

Michele Ciavotta, Giovanni Paolo Gibilisco, Danilo Ardagna, Elisabetta Di Nitto, Marco Lattuada, Marcos Aurélio Almeida da Silva

IEEE Trans. Cloud Comput., 2022

Svelto: High-Level Synthesis of Multi-Threaded Accelerators for Graph Analytics.

Marco Minutoli, Vito Giovanni Castellana, Nicola Saporetti, Stefano Devecchi, Marco Lattuada, Pietro Fezzardi, Antonino Tumeo, Fabrizio Ferrandi

IEEE Trans. Computers, 2022

Performance prediction of deep learning applications training in GPU as a service systems.

Marco Lattuada, Eugenio Gianniti, Danilo Ardagna, Li Zhang

Clust. Comput., 2022

Neural keypoint detection for visual gestures on micro-controllers.

Danilo Pau, Davide Denaro, Marco Lattuada, Mahdi Mseddi

Proceedings of the IEEE International Conference on Metrology for Extended Reality, 2022

2021

Comparing Industry Frameworks with Deeply Quantized Neural Networks on Microcontrollers.

Danilo Pau, Marco Lattuada, Francesco Loro, Antonio De Vita, Gian Domenico Licciardo

Proceedings of the IEEE International Conference on Consumer Electronics, 2021

ANDREAS: Artificial intelligence traiNing scheDuler foR accElerAted resource clusterS.

Federica Filippini, Danilo Ardagna, Marco Lattuada, Edoardo Amaldi, Maciek Riedl, Katarzyna Materka, Pawel Skrzypek, Michele Ciavotta, Fabrizio Magugliani, Marco Cicala

Proceedings of the 8th International Conference on Future Internet of Things and Cloud, 2021

Invited: Bambu: an Open-Source Research Framework for the High-Level Synthesis of Complex Applications.

Fabrizio Ferrandi, Vito Giovanni Castellana, Serena Curzel, Pietro Fezzardi, Michele Fiorito, Marco Lattuada, Marco Minutoli, Christian Pilato, Antonino Tumeo

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

2020

Hierarchical Scheduling in on-demand GPU-as-a-Service Systems.

Federica Filippini, Marco Lattuada, Arezoo Jahani, Michele Ciavotta, Danilo Ardagna, Edoardo Amaldi

Proceedings of the 22nd International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2020

2019

A Design Flow Engine for the Support of Customized Dynamic High Level Synthesis Flows.

Marco Lattuada, Fabrizio Ferrandi

ACM Trans. Reconfigurable Technol. Syst., 2019

BIGSEA: A Big Data analytics platform for public transportation information.

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

Future Gener. Comput. Syst., 2019

Optimizing on-demand GPUs in the Cloud for Deep Learning Applications Training.

Arezoo Jahani, Marco Lattuada, Michele Ciavotta, Danilo Ardagna, Edoardo Amaldi, Li Zhang

Proceedings of the 2019 4th International Conference on Computing, 2019

Gray-Box Models for Performance Assessment of Spark Applications.

Marco Lattuada, Eugenio Gianniti, Marjan Hosseini, Danilo Ardagna, Alexandre Maros, Fabricio Murai, Ana Paula Couto da Silva, Jussara M. Almeida

Proceedings of the 9th International Conference on Cloud Computing and Services Science, 2019

Software defined architectures for data analytics.

Vito Giovanni Castellana, Marco Minutoli, Antonino Tumeo, Marco Lattuada, Pietro Fezzardi, Fabrizio Ferrandi

Proceedings of the 24th Asia and South Pacific Design Automation Conference, 2019

Machine Learning for Performance Prediction of Spark Cloud Applications.

Alexandre Maros, Fabricio Murai, Ana Paula Couto da Silva, Jussara M. Almeida, Marco Lattuada, Eugenio Gianniti, Marjan Hosseini, Danilo Ardagna

Proceedings of the 12th IEEE International Conference on Cloud Computing, 2019

2018

Data Transfers Analysis in Computer Assisted Design Flow of FPGA Accelerators for Aerospace Systems.

Marco Lattuada, Fabrizio Ferrandi, Maxime Perrotin

IEEE Trans. Multi Scale Comput. Syst., 2018

2017

Using Efficient Path Profiling to Optimize Memory Consumption of On-Chip Debugging for High-Level Synthesis.

Pietro Fezzardi, Marco Lattuada, Fabrizio Ferrandi

ACM Trans. Embed. Comput. Syst., 2017

Exploiting vectorization in high level synthesis of nested irregular loops.

Marco Lattuada, Fabrizio Ferrandi

J. Syst. Archit., 2017

2016

Performance Estimation of Task Graphs Based on Path Profiling.

Marco Lattuada, Christian Pilato, Fabrizio Ferrandi

Int. J. Parallel Program., 2016

Efficient synthesis of graph methods: a dynamically scheduled architecture.

Marco Minutoli, Vito Giovanni Castellana, Antonino Tumeo, Marco Lattuada, Fabrizio Ferrandi

Proceedings of the 35th International Conference on Computer-Aided Design, 2016

A dynamically scheduled architecture for the synthesis of graph methods.

Marco Minutoli, Vito Giovanni Castellana, Antonino Tumeo, Marco Lattuada, Fabrizio Ferrandi

Proceedings of the 2016 IEEE Hot Chips 28 Symposium (HCS), 2016

A Dynamically Scheduled Architecture for the Synthesis of Graph Database Queries.

Marco Minutoli, Vito Giovanni Castellana, Antonino Tumeo, Fabrizio Ferrandi, Marco Lattuada

Proceedings of the 24th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2016

Enabling the high level synthesis of data analytics accelerators.

Marco Minutoli, Vito Giovanni Castellana, Antonino Tumeo, Marco Lattuada, Fabrizio Ferrandi

Proceedings of the Eleventh IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis, 2016

2015

Modeling Resolution of Resources Contention in Synchronous Data Flow Graphs.

Marco Lattuada, Fabrizio Ferrandi

J. Signal Process. Syst., 2015

Code Transformations Based on Speculative SDC Scheduling.

Marco Lattuada, Fabrizio Ferrandi

Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, 2015

High Level Synthesis of RDF Queries for Graph Analytics.

Vito Giovanni Castellana, Marco Minutoli, Alessandro Morari, Antonino Tumeo, Marco Lattuada, Fabrizio Ferrandi

Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, 2015

Exploiting Outer Loops Vectorization in High Level Synthesis.

Marco Lattuada, Fabrizio Ferrandi

Proceedings of the Architecture of Computing Systems - ARCS 2015, 2015

2013

Modeling pipelined application with Synchronous Data Flow graphs.

Marco Lattuada, Fabrizio Ferrandi

Proceedings of the 2013 International Conference on Embedded Computer Systems: Architectures, 2013

2012

Performance estimation of embedded software with confidence levels.

Marco Lattuada, Fabrizio Ferrandi

Proceedings of the 17th Asia and South Pacific Design Automation Conference, 2012

2010

A methodology for performance estimation of heterogeneous multiprocessors embedded systems.

Marco Lattuada

PhD thesis, 2010

HArtes: Hardware-Software Codesign for Heterogeneous Multicore Platforms.

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

IEEE Micro, 2010

Fine grain analysis of simulators accuracy for calibrating performance models.

Marco Lattuada, Fabrizio Ferrandi

Proceedings of the 21st IEEE International Symposium on Rapid System Prototyping, 2010

Performance modeling of embedded applications with zero architectural knowledge.

Marco Lattuada, Fabrizio Ferrandi

Proceedings of the 8th International Conference on Hardware/Software Codesign and System Synthesis, 2010

Combining Target-independent Analysis with Dynamic Profiling to Build the Performance Model of a DSP.

Marco Lattuada, Fabrizio Ferrandi

Proceedings of the 10th IEEE International Conference on Computer and Information Technology, 2010

2009

Performance estimation for task graphs combining sequential path profiling and control dependence regions.

Fabrizio Ferrandi, Marco Lattuada, Christian Pilato, Antonino Tumeo

Proceedings of the 7th ACM/IEEE International Conference on Formal Methods and Models for Codesign (MEMOCODE 2009), 2009

Performance modeling of parallel applications on MPSoCs.

Marco Lattuada, Christian Pilato, Antonino Tumeo, Fabrizio Ferrandi

Proceedings of the 2008 IEEE International Symposium on System-on-Chip, 2009

2007

Automatic Parallelization of Sequential Specifications for Symmetric MPSoCs.

Fabrizio Ferrandi, Luca Fossati, Marco Lattuada, Gianluca Palermo, Donatella Sciuto, Antonino Tumeo

Proceedings of the Embedded System Design: Topics, Techniques and Trends, IFIP TC10 Working Conference: International Embedded Systems Symposium (IESS), May 30, 2007