Marco Lattuada

43 papers A* 1A 3B 2C 6Misc 4Journal 16Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Robust Watermarking of Tiny Neural Networks by Fine-Tuning and Post-Training Approaches. Symmetry Riccardo Adorante, Alessandro Carra, Marco Lattuada, Danilo Pietro Pau
2023	J	`jnl`	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. Federica Filippini, Marco Lattuada, Michele Ciavotta, Arezoo Jahani, Danilo Ardagna, Edoardo Amaldi
2023	C	`conf`	aMLLibrary: An AutoML Approach For Performance Prediction. ECMS Bruno Guindani, Marco Lattuada, Danilo Ardagna
2023	B	`conf`	µ-FF: On-Device Forward-Forward Training Algorithm for Microcontrollers. SMARTCOMP Fabrizio De Vita, Rawan M. A. Nawaiseh, Dario Bruneo, Valeria Tomaselli, Marco Lattuada, Mirko Falchetto
2022	J	`jnl`	Architectural Design of Cloud Applications: A Performance-Aware Cost Minimization Approach. IEEE Trans. Cloud Comput. Michele Ciavotta, Giovanni Paolo Gibilisco, Danilo Ardagna, Elisabetta Di Nitto, Marco Lattuada, Marcos Aurélio Almeida da Silva
2022	—	`conf`	Neural keypoint detection for visual gestures on micro-controllers. MetroXRAINE Danilo Pau, Davide Denaro, Marco Lattuada, Mahdi Mseddi
2022	J	`jnl`	Optimal Resource Allocation of Cloud-Based Spark Applications. IEEE Trans. Cloud Comput. Marco Lattuada, Enrico Barbierato, Eugenio Gianniti, Danilo Ardagna
2022	J	`jnl`	Performance prediction of deep learning applications training in GPU as a service systems. Clust. Comput. Marco Lattuada, Eugenio Gianniti, Danilo Ardagna, Li Zhang
2022	J	`jnl`	Svelto: High-Level Synthesis of Multi-Threaded Accelerators for Graph Analytics. IEEE Trans. Computers Marco Minutoli, Vito Giovanni Castellana, Nicola Saporetti, Stefano Devecchi, Marco Lattuada, Pietro Fezzardi, Antonino Tumeo, Fabrizio Ferrandi
2021	—	`conf`	ANDREAS: Artificial intelligence traiNing scheDuler foR accElerAted resource clusterS. FiCloud Federica Filippini, Danilo Ardagna, Marco Lattuada, Edoardo Amaldi, Maciek Riedl, Katarzyna Materka, Pawel Skrzypek, Michele Ciavotta, Fabrizio Magugliani, Marco Cicala
2021	J	`jnl`	ANDREAS: Artificial intelligence traiNing scheDuler foR accElerAted resource clusterS. CoRR Federica Filippini, Danilo Ardagna, Marco Lattuada, Edoardo Amaldi, Michele Ciavotta, Maciek Riedl, Katarzyna Materka, Pawel Skrzypek, Fabrizio Magugliani, Marco Cicala
2021	C	`conf`	Comparing Industry Frameworks with Deeply Quantized Neural Networks on Microcontrollers. ICCE Danilo Pau, Marco Lattuada, Francesco Loro, Antonio De Vita, Gian Domenico Licciardo
2021	A*	`conf`	Invited: Bambu: an Open-Source Research Framework for the High-Level Synthesis of Complex Applications. DAC Fabrizio Ferrandi, Vito Giovanni Castellana, Serena Curzel, Pietro Fezzardi, Michele Fiorito, Marco Lattuada, Marco Minutoli, Christian Pilato, Antonino Tumeo
2021	J	`jnl`	Machine Learning for Performance Prediction of Spark Cloud Applications. CoRR Alexandre Maros, Fabricio Murai, Ana Paula Couto da Silva, Jussara M. Almeida, Marco Lattuada, Eugenio Gianniti, Marjan Hosseini, Danilo Ardagna
2020	Misc	`conf`	Hierarchical Scheduling in on-demand GPU-as-a-Service Systems. SYNASC Federica Filippini, Marco Lattuada, Arezoo Jahani, Michele Ciavotta, Danilo Ardagna, Edoardo Amaldi
2019	J	`jnl`	A Design Flow Engine for the Support of Customized Dynamic High Level Synthesis Flows. ACM Trans. Reconfigurable Technol. Syst. Marco Lattuada, Fabrizio Ferrandi
2019	J	`jnl`	BIGSEA: A Big Data analytics platform for public transportation information. Future Gener. Comput. Syst. 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
2019	C	`conf`	Gray-Box Models for Performance Assessment of Spark Applications. CLOSER Marco Lattuada, Eugenio Gianniti, Marjan Hosseini, Danilo Ardagna, Alexandre Maros, Fabricio Murai, Ana Paula Couto da Silva, Jussara M. Almeida
2019	B	`conf`	Machine Learning for Performance Prediction of Spark Cloud Applications. CLOUD Alexandre Maros, Fabricio Murai, Ana Paula Couto da Silva, Jussara M. Almeida, Marco Lattuada, Eugenio Gianniti, Marjan Hosseini, Danilo Ardagna
2019	—	`conf`	Optimizing on-demand GPUs in the Cloud for Deep Learning Applications Training. ICCCS Arezoo Jahani, Marco Lattuada, Michele Ciavotta, Danilo Ardagna, Edoardo Amaldi, Li Zhang
2019	—	`conf`	Software defined architectures for data analytics. ASP-DAC Vito Giovanni Castellana, Marco Minutoli, Antonino Tumeo, Marco Lattuada, Pietro Fezzardi, Fabrizio Ferrandi
2018	J	`jnl`	Data Transfers Analysis in Computer Assisted Design Flow of FPGA Accelerators for Aerospace Systems. IEEE Trans. Multi Scale Comput. Syst. Marco Lattuada, Fabrizio Ferrandi, Maxime Perrotin
2017	J	`jnl`	Exploiting vectorization in high level synthesis of nested irregular loops. J. Syst. Archit. Marco Lattuada, Fabrizio Ferrandi
2017	J	`jnl`	Using Efficient Path Profiling to Optimize Memory Consumption of On-Chip Debugging for High-Level Synthesis. ACM Trans. Embed. Comput. Syst. Pietro Fezzardi, Marco Lattuada, Fabrizio Ferrandi
2016	Misc	`conf`	A Dynamically Scheduled Architecture for the Synthesis of Graph Database Queries. FCCM Marco Minutoli, Vito Giovanni Castellana, Antonino Tumeo, Fabrizio Ferrandi, Marco Lattuada
2016	—	`conf`	A dynamically scheduled architecture for the synthesis of graph methods. Hot Chips Symposium Marco Minutoli, Vito Giovanni Castellana, Antonino Tumeo, Marco Lattuada, Fabrizio Ferrandi
2016	A	`conf`	Efficient synthesis of graph methods: a dynamically scheduled architecture. ICCAD Marco Minutoli, Vito Giovanni Castellana, Antonino Tumeo, Marco Lattuada, Fabrizio Ferrandi
2016	Misc	`conf`	Enabling the high level synthesis of data analytics accelerators. CODES+ISSS Marco Minutoli, Vito Giovanni Castellana, Antonino Tumeo, Marco Lattuada, Fabrizio Ferrandi
2016	J	`jnl`	Performance Estimation of Task Graphs Based on Path Profiling. Int. J. Parallel Program. Marco Lattuada, Christian Pilato, Fabrizio Ferrandi
2015	A	`conf`	Code Transformations Based on Speculative SDC Scheduling. ICCAD Marco Lattuada, Fabrizio Ferrandi
2015	—	`conf`	Exploiting Outer Loops Vectorization in High Level Synthesis. ARCS Marco Lattuada, Fabrizio Ferrandi
2015	A	`conf`	High Level Synthesis of RDF Queries for Graph Analytics. ICCAD Vito Giovanni Castellana, Marco Minutoli, Alessandro Morari, Antonino Tumeo, Marco Lattuada, Fabrizio Ferrandi
2015	J	`jnl`	Modeling Resolution of Resources Contention in Synchronous Data Flow Graphs. J. Signal Process. Syst. Marco Lattuada, Fabrizio Ferrandi
2013	—	`conf`	Modeling pipelined application with Synchronous Data Flow graphs. ICSAMOS Marco Lattuada, Fabrizio Ferrandi
2012	—	`conf`	Performance estimation of embedded software with confidence levels. ASP-DAC Marco Lattuada, Fabrizio Ferrandi
2010	—	`—`	A methodology for performance estimation of heterogeneous multiprocessors embedded systems. Marco Lattuada
2010	C	`conf`	Combining Target-independent Analysis with Dynamic Profiling to Build the Performance Model of a DSP. CIT Marco Lattuada, Fabrizio Ferrandi
2010	C	`conf`	Fine grain analysis of simulators accuracy for calibrating performance models. International Symposium on Rapid System Prototyping Marco Lattuada, Fabrizio Ferrandi
2010	J	`jnl`	HArtes: Hardware-Software Codesign for Heterogeneous Multicore Platforms. IEEE Micro 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
2010	Misc	`conf`	Performance modeling of embedded applications with zero architectural knowledge. CODES+ISSS Marco Lattuada, Fabrizio Ferrandi
2009	C	`conf`	Performance estimation for task graphs combining sequential path profiling and control dependence regions. MEMOCODE Fabrizio Ferrandi, Marco Lattuada, Christian Pilato, Antonino Tumeo
2009	—	`conf`	Performance modeling of parallel applications on MPSoCs. SoC Marco Lattuada, Christian Pilato, Antonino Tumeo, Fabrizio Ferrandi
2007	—	`conf`	Automatic Parallelization of Sequential Specifications for Symmetric MPSoCs. IESS Fabrizio Ferrandi, Luca Fossati, Marco Lattuada, Gianluca Palermo, Donatella Sciuto, Antonino Tumeo