Marco Lattuada

Publication Activity (10 Years)

Years Active: 2007-2023
Publications (10 Years): 28

Top Topics

High Level Synthesis

Architectural Design

Resource Allocation

Top Venues

IEEE Trans. Cloud Comput.

ACM Trans. Reconfigurable Technol. Syst.

Publications

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)
Bruno Guindani, Marco Lattuada, Danilo Ardagna
aMLLibrary: An AutoML Approach For Performance Prediction. ECMS (2023)
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) (2023)
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) (2022)
Danilo Pau, Davide Denaro, Marco Lattuada, Mahdi Mseddi
Neural keypoint detection for visual gestures on micro-controllers. MetroXRAINE (2022)
Marco Lattuada, Enrico Barbierato, Eugenio Gianniti, Danilo Ardagna
Optimal Resource Allocation of Cloud-Based Spark Applications. IEEE Trans. Cloud Comput. 10 (2) (2022)
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) (2022)
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) (2022)
Danilo Pau, Marco Lattuada, Francesco Loro, Antonio De Vita, Gian Domenico Licciardo
Comparing Industry Frameworks with Deeply Quantized Neural Networks on Microcontrollers. ICCE (2021)
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 (2021)
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)
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)
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 (2021)
Federica Filippini, Marco Lattuada, Arezoo Jahani, Michele Ciavotta, Danilo Ardagna, Edoardo Amaldi
Hierarchical Scheduling in on-demand GPU-as-a-Service Systems. SYNASC (2020)
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)
Vito Giovanni Castellana, Marco Minutoli, Antonino Tumeo, Marco Lattuada, Pietro Fezzardi, Fabrizio Ferrandi
Software defined architectures for data analytics. ASP-DAC (2019)
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)
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) (2019)
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 (2019)
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)
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) (2018)
Marco Lattuada, Fabrizio Ferrandi
Exploiting vectorization in high level synthesis of nested irregular loops. J. Syst. Archit. 75 (2017)
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) (2017)
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)
Marco Minutoli, Vito Giovanni Castellana, Antonino Tumeo, Marco Lattuada, Fabrizio Ferrandi
Enabling the high level synthesis of data analytics accelerators. CODES+ISSS (2016)
Marco Minutoli, Vito Giovanni Castellana, Antonino Tumeo, Fabrizio Ferrandi, Marco Lattuada
A Dynamically Scheduled Architecture for the Synthesis of Graph Database Queries. FCCM (2016)
Marco Minutoli, Vito Giovanni Castellana, Antonino Tumeo, Marco Lattuada, Fabrizio Ferrandi
Efficient synthesis of graph methods: a dynamically scheduled architecture. ICCAD (2016)
Marco Lattuada, Christian Pilato, Fabrizio Ferrandi
Performance Estimation of Task Graphs Based on Path Profiling. Int. J. Parallel Program. 44 (4) (2016)
Marco Lattuada, Fabrizio Ferrandi
Exploiting Outer Loops Vectorization in High Level Synthesis. ARCS (2015)
Marco Lattuada, Fabrizio Ferrandi
Modeling Resolution of Resources Contention in Synchronous Data Flow Graphs. J. Signal Process. Syst. 80 (1) (2015)
Vito Giovanni Castellana, Marco Minutoli, Alessandro Morari, Antonino Tumeo, Marco Lattuada, Fabrizio Ferrandi
High Level Synthesis of RDF Queries for Graph Analytics. ICCAD (2015)
Marco Lattuada, Fabrizio Ferrandi
Code Transformations Based on Speculative SDC Scheduling. ICCAD (2015)
Marco Lattuada, Fabrizio Ferrandi
Modeling pipelined application with Synchronous Data Flow graphs. ICSAMOS (2013)
Marco Lattuada, Fabrizio Ferrandi
Performance estimation of embedded software with confidence levels. ASP-DAC (2012)
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) (2010)
Marco Lattuada, Fabrizio Ferrandi
Combining Target-independent Analysis with Dynamic Profiling to Build the Performance Model of a DSP. CIT (2010)
Marco Lattuada, Fabrizio Ferrandi
Fine grain analysis of simulators accuracy for calibrating performance models. International Symposium on Rapid System Prototyping (2010)
Marco Lattuada, Fabrizio Ferrandi
Performance modeling of embedded applications with zero architectural knowledge. CODES+ISSS (2010)
Marco Lattuada, Christian Pilato, Antonino Tumeo, Fabrizio Ferrandi
Performance modeling of parallel applications on MPSoCs. SoC (2009)
Fabrizio Ferrandi, Marco Lattuada, Christian Pilato, Antonino Tumeo
Performance estimation for task graphs combining sequential path profiling and control dependence regions. MEMOCODE (2009)
Fabrizio Ferrandi, Luca Fossati, Marco Lattuada, Gianluca Palermo, Donatella Sciuto, Antonino Tumeo
Automatic Parallelization of Sequential Specifications for Symmetric MPSoCs. IESS (2007)