Claudio Rubattu

According to our database, Claudio Rubattu authored at least 16 papers between 2016 and 2025.

Collaborative distances:

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

2025

Multi-Partner Project: Key Enabling Technologies for Cognitive Computing Continuum - MYRTUS Project Perspective.

Francesca Palumbo, Francesco Ratto, Claudio Rubattu, Maria Katiuscia Zedda, Tiziana Fanni, Veena Rao, Bart Driessen, Jerónimo Castrillón

Proceedings of the Design, Automation & Test in Europe Conference, 2025

2024

FPGA-based Implementation for Industrial Motion Control System.

Claudio Rubattu, Antonio Ledda, Francesco Ratto, Chaitanya Jugade, Dip Goswami, Francesca Palumbo

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

Edge-to-Cloud Continuum Orchestrator for Distributed Video Applications.

Pietro Ruiu, Claudio Rubattu, Matteo Anedda, Andrea Lagorio, Vlad Popescu, Nicusor Amarie, Daniele D. Giusto, Mauro Fadda

Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2024

2021

PathTracer: Understanding Response Time of Signal Processing Applications on Heterogeneous MPSoCs.

Claudio Rubattu, Francesca Palumbo, Shuvra S. Bhattacharyya, Maxime Pelcat

ACM Trans. Model. Perform. Evaluation Comput. Syst., 2021

The Multi-Dataflow Composer tool: An open-source tool suite for optimized coarse-grain reconfigurable hardware accelerators and platform design.

Carlo Sau, Tiziana Fanni, Claudio Rubattu, Luigi Raffo, Francesca Palumbo

Microprocess. Microsystems, 2021

Run-time Performance Monitoring of Heterogenous Hw/Sw Platforms Using PAPI.

Tiziana Fanni, Daniel Madroñal, Claudio Rubattu, Carlo Sau, Francesca Palumbo, Eduardo Juárez, Maxime Pelcat, César Sanz, Luigi Raffo

CoRR, 2021

PathTracing: Raising the Level of Understanding of Processing Latency in Heterogeneous MPSoCs.

Claudio Rubattu, Francesca Palumbo, Shuvra S. Bhattacharyya, Maxime Pelcat

Proceedings of the DroneSE and RAPIDO '21: Methods and Tools, 2021

2020

Response time analysis of parameterized dataflow applications on heterogeneous SW/HW systems. (Analyse du temps de réponse des applications de flux de données paramétrées sur des systèmes logiciels/matériels hétérogènes).

Claudio Rubattu

PhD thesis, 2020

Feasibility Study and Porting of the Damped Least Square Algorithm on FPGA.

Carlo Sau, Tiziana Fanni, Claudio Rubattu, Luca Fanni, Luigi Raffo, Francesca Palumbo

IEEE Access, 2020

2019

Dataflow-Functional High-Level Synthesis for Coarse-Grained Reconfigurable Accelerators.

Claudio Rubattu, Francesca Palumbo, Carlo Sau, Rubén Salvador, Jocelyn Sérot, Karol Desnos, Luigi Raffo, Maxime Pelcat

IEEE Embed. Syst. Lett., 2019

Hardware/Software Self-adaptation in CPS: The CERBERO Project Approach.

Francesca Palumbo, Tiziana Fanni, Carlo Sau, Alfonso Rodríguez, Daniel Madroñal, Karol Desnos, Antoine Morvan, Maxime Pelcat, Claudio Rubattu, Raquel Lazcano, Luigi Raffo, Eduardo de la Torre, Eduardo Juárez, César Sanz, Pablo Sanchez de Rojas

Proceedings of the Embedded Computer Systems: Architectures, Modeling, and Simulation, 2019

Extending Architecture Modeling for Signal Processing towards GPUs.

Saman Payvar, Jani Boutellier, Antoine Morvan, Claudio Rubattu, Maxime Pelcat

Proceedings of the 27th European Signal Processing Conference, 2019

A Dataflow Implementation of Inverse Kinematics on Reconfigurable Heterogeneous MPSoC.

Luca Fanni, Leonardo Suriano, Claudio Rubattu, Pablo Sánchez, Eduardo de la Torre, Francesca Palumbo

Proceedings of the Cyber-Physical Systems PhD Workshop 2019, an event held within the CPS Summer School "Designing Cyber-Physical Systems, 2019

2017

Real-Time neural signal decoding on heterogeneous MPSocs based on VLIW ASIPs.

Paolo Meloni, Claudio Rubattu, Giuseppe Tuveri, Danilo Pani, Luigi Raffo, Francesca Palumbo

J. Syst. Archit., 2017

Adaptive software-augmented hardware reconfiguration with dataflow design automation.

Claudio Rubattu, Francesca Palumbo, Maxime Pelcat

Proceedings of the International Conference on ReConFigurable Computing and FPGAs, 2017

2016

MPSoCs for real-time neural signal decoding: A low-power ASIP-based implementation.

Paolo Meloni, Francesca Palumbo, Claudio Rubattu, Giuseppe Tuveri, Danilo Pani, Luigi Raffo

Microprocess. Microsystems, 2016