Automatic Parallelization of Sequential Specifications for Symmetric MPSoCs. - Fabrizio Ferrandi; Luca Fossati; Marco Lattuada 001; Gianluca Palermo; Donatella Sciuto; Antonino Tumeo (IESS, 2007)

Performance modeling of parallel applications on MPSoCs. - Marco Lattuada 001; Christian Pilato; Antonino Tumeo; Fabrizio Ferrandi (SoC, 2009)

Performance estimation for task graphs combining sequential path profiling and control dependence regions. - Fabrizio Ferrandi; Marco Lattuada 001; Christian Pilato; Antonino Tumeo (MEMOCODE, 2009)

Combining Target-independent Analysis with Dynamic Profiling to Build the Performance Model of a DSP. - Marco Lattuada 001; Fabrizio Ferrandi (CIT, 2010)

Performance modeling of embedded applications with zero architectural knowledge. - Marco Lattuada 001; Fabrizio Ferrandi (CODES+ISSS, 2010)

Fine grain analysis of simulators accuracy for calibrating performance models. - Marco Lattuada 001; Fabrizio Ferrandi (International Symposium on Rapid System Prototyping, 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 001; Donatella Sciuto; Andrea Michelotti (IEEE Micro, 2010)

A methodology for performance estimation of heterogeneous multiprocessors embedded systems. - Marco Lattuada 001 (2010)

Performance estimation of embedded software with confidence levels. - Marco Lattuada 001; Fabrizio Ferrandi (ASP-DAC, 2012)

Modeling pipelined application with Synchronous Data Flow graphs. - Marco Lattuada 001; Fabrizio Ferrandi (ICSAMOS, 2013)

Exploiting Outer Loops Vectorization in High Level Synthesis. - Marco Lattuada 001; Fabrizio Ferrandi (ARCS, 2015)

High Level Synthesis of RDF Queries for Graph Analytics. - Vito Giovanni Castellana; Marco Minutoli; Alessandro Morari; Antonino Tumeo; Marco Lattuada 001; Fabrizio Ferrandi (ICCAD, 2015)

Code Transformations Based on Speculative SDC Scheduling. - Marco Lattuada 001; Fabrizio Ferrandi (ICCAD, 2015)

Modeling Resolution of Resources Contention in Synchronous Data Flow Graphs. - Marco Lattuada 001; Fabrizio Ferrandi (J. Signal Process. Syst., 2015)

Enabling the high level synthesis of data analytics accelerators. - Marco Minutoli; Vito Giovanni Castellana; Antonino Tumeo; Marco Lattuada 001; Fabrizio Ferrandi (CODES+ISSS, 2016)

A Dynamically Scheduled Architecture for the Synthesis of Graph Database Queries. - Marco Minutoli; Vito Giovanni Castellana; Antonino Tumeo; Fabrizio Ferrandi; Marco Lattuada 001 (FCCM, 2016)

A dynamically scheduled architecture for the synthesis of graph methods. - Marco Minutoli; Vito Giovanni Castellana; Antonino Tumeo; Marco Lattuada 001; Fabrizio Ferrandi (Hot Chips Symposium, 2016)

Efficient synthesis of graph methods: a dynamically scheduled architecture. - Marco Minutoli; Vito Giovanni Castellana; Antonino Tumeo; Marco Lattuada 001; Fabrizio Ferrandi (ICCAD, 2016)

Performance Estimation of Task Graphs Based on Path Profiling. - Marco Lattuada 001; Christian Pilato; Fabrizio Ferrandi (Int. J. Parallel Program., 2016)

Exploiting vectorization in high level synthesis of nested irregular loops. - Marco Lattuada 001; Fabrizio Ferrandi (J. Syst. Archit., 2017)

Using Efficient Path Profiling to Optimize Memory Consumption of On-Chip Debugging for High-Level Synthesis. - Pietro Fezzardi; Marco Lattuada 001; Fabrizio Ferrandi (ACM Trans. Embed. Comput. Syst., 2017)

Data Transfers Analysis in Computer Assisted Design Flow of FPGA Accelerators for Aerospace Systems. - Marco Lattuada 001; Fabrizio Ferrandi; Maxime Perrotin (IEEE Trans. Multi Scale Comput. Syst., 2018)

Machine Learning for Performance Prediction of Spark Cloud Applications. - Alexandre Maros; Fabricio Murai; Ana Paula Couto da Silva; Jussara M. Almeida; Marco Lattuada 001; Eugenio Gianniti; Marjan Hosseini; Danilo Ardagna (CLOUD, 2019)

Software defined architectures for data analytics. - Vito Giovanni Castellana; Marco Minutoli; Antonino Tumeo; Marco Lattuada 001; Pietro Fezzardi; Fabrizio Ferrandi (ASP-DAC, 2019)

Gray-Box Models for Performance Assessment of Spark Applications. - Marco Lattuada 001; Eugenio Gianniti; Marjan Hosseini; Danilo Ardagna; Alexandre Maros; Fabricio Murai; Ana Paula Couto da Silva; Jussara M. Almeida (CLOSER, 2019)

Optimizing on-demand GPUs in the Cloud for Deep Learning Applications Training. - Arezoo Jahani; Marco Lattuada 001; Michele Ciavotta; Danilo Ardagna; Edoardo Amaldi; Li Zhang 002 (ICCCS, 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; et al. (Future Gener. Comput. Syst., 2019)

A Design Flow Engine for the Support of Customized Dynamic High Level Synthesis Flows. - Marco Lattuada 001; Fabrizio Ferrandi (ACM Trans. Reconfigurable Technol. Syst., 2019)

Hierarchical Scheduling in on-demand GPU-as-a-Service Systems. - Federica Filippini; Marco Lattuada 001; Arezoo Jahani; Michele Ciavotta; Danilo Ardagna; Edoardo Amaldi (SYNASC, 2020)

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 001; Marco Minutoli; Christian Pilato; Antonino Tumeo (DAC, 2021)

ANDREAS: Artificial intelligence traiNing scheDuler foR accElerAted resource clusterS. - Federica Filippini; Danilo Ardagna; Marco Lattuada 001; Edoardo Amaldi; Maciek Riedl; Katarzyna Materka; Pawel Skrzypek; Michele Ciavotta; Fabrizio Magugliani; Marco Cicala (FiCloud, 2021)

Comparing Industry Frameworks with Deeply Quantized Neural Networks on Microcontrollers. - Danilo Pau; Marco Lattuada 001; Francesco Loro; Antonio De Vita; Gian Domenico Licciardo (ICCE, 2021)

Neural keypoint detection for visual gestures on micro-controllers. - Danilo Pau; Davide Denaro; Marco Lattuada 001; Mahdi Mseddi (MetroXRAINE, 2022)

Performance prediction of deep learning applications training in GPU as a service systems. - Marco Lattuada 001; Eugenio Gianniti; Danilo Ardagna; Li Zhang 002 (Clust. Comput., 2022)

Svelto: High-Level Synthesis of Multi-Threaded Accelerators for Graph Analytics. - Marco Minutoli; Vito Giovanni Castellana; Nicola Saporetti; Stefano Devecchi; Marco Lattuada 001; Pietro Fezzardi; Antonino Tumeo; Fabrizio Ferrandi (IEEE Trans. Computers, 2022)

Architectural Design of Cloud Applications: A Performance-Aware Cost Minimization Approach. - Michele Ciavotta; Giovanni Paolo Gibilisco; Danilo Ardagna; Elisabetta Di Nitto; Marco Lattuada 001; Marcos Aurélio Almeida da Silva (IEEE Trans. Cloud Comput., 2022)

Optimal Resource Allocation of Cloud-Based Spark Applications. - Marco Lattuada 001; Enrico Barbierato; Eugenio Gianniti; Danilo Ardagna (IEEE Trans. Cloud Comput., 2022)

aMLLibrary: An AutoML Approach For Performance Prediction. - Bruno Guindani; Marco Lattuada 001; Danilo Ardagna (ECMS, 2023)

µ-FF: On-Device Forward-Forward Training Algorithm for Microcontrollers. - Fabrizio De Vita; Rawan M. A. Nawaiseh; Dario Bruneo; Valeria Tomaselli; Marco Lattuada 001; Mirko Falchetto (SMARTCOMP, 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 001; Michele Ciavotta; Arezoo Jahani; Danilo Ardagna; Edoardo Amaldi (IEEE Trans. Serv. Comput., 2023)