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

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

Publikováno v: IEEE Access, Vol 8, Pp 175483-175500 (2020)

Modern embedded computing platforms used within Cyber-Physical Systems (CPS) are nowadays leveraging more and more often on heterogeneous computing substrates, such as newest Field Programmable Gate Array (FPGA) devices. Compared to general purpose p

Externí odkaz: https://doaj.org/article/df9278c9e4974a2fb05aa17133c39aaf

Modelling and Automated Implementation of Optimal Power Saving Strategies in Coarse-Grained Reconfigurable Architectures

Autor: Francesca Palumbo, Tiziana Fanni, Carlo Sau, Paolo Meloni, Luigi Raffo

Publikováno v: Journal of Electrical and Computer Engineering, Vol 2016 (2016)

This paper focuses on how to efficiently reduce power consumption in coarse-grained reconfigurable designs, to allow their effective adoption in heterogeneous architectures supporting and accelerating complex and highly variable multifunctional appli

Externí odkaz: https://doaj.org/article/3a2fd437fb1d49a9a2076b00f570309d

Design and management of image processing pipelines within CPS: Acquired experience towards the end of the FitOptiVis ECSEL Project

Autor: Giacomo Valente, Lukáš Maršík, Jukka Saarinen, Ad de Beer, Shayan Tabatabaei Nikkhah, Lubomír Bulej, Pekka Jääskeläinen, Marcos Martinez, Marinus Johannes Adrianus Maria Van Helvoort, Francisco Barranco, Jiří Kadlec, Twan Basten, Victor Sanchez, Luigi Pomante, Guillermo Amat, Maria Katiuscia Zedda, Claudia Rinaldi, Tero Säntti, Francesca Palumbo, Carlo Sau, Luis Alirio Sánchez Medina, Dip Goswami, Marc Geilen, Zaid Al-Ars, Geran Peeren, Frank van der Linden, Tiziana Fanni

Publikováno v: Microprocessors and Microsystems, 87:104350. Elsevier

Cyber-Physical Systems (CPSs) are dynamic and reactive systems interacting with processes, environment and, sometimes, humans. They are often distributed with sensors and actuators, characterized for being smart, adaptive, predictive and react in rea

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c3cb5a59045cdc9ebb8410e21ff7634c
https://research.tue.nl/nl/publications/e4dc3152-872c-4157-84b3-df0a3beb23c3

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

Autor: Tiziana Fanni, Daniel Madronal, Claudio Rubattu, Carlo Sau, Francesca Palumbo, Eduardo Juarez, Maxime Pelcat, Cesar Sanz, Luigi Raffo

Publikováno v: Scopus-Elsevier
Web of Science

In the era of Cyber Physical Systems, designers need to offer support for run-time adaptivity considering different constraints, including the internal status of the system. This work presents a run-time monitoring approach, based on the Performance

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::09072c7659ab63981faa51b632a1f285
http://arxiv.org/abs/2103.01195

NeuPow: A CAD Methodology for High Level Power Estimation Based on Machine Learning

Autor: Luigi Raffo, Jean-Christophe Prévotet, Francesca Palumbo, Carlo Sau, Tiziana Fanni, Maryline Helard, Yehya Nasser

Publikováno v: ACM Transactions on Design Automation of Electronic Systems
ACM Transactions on Design Automation of Electronic Systems, Association for Computing Machinery, 2020, ⟨10.1145/nnnnnnn.nnnnnnn⟩
ACM Transactions on Design Automation of Electronic Systems, 2020, 25 (5), pp.1-29. ⟨10.1145/3388141⟩

International audience; In this paper, we present a new, simple, accurate and fast power estimation technique that can be used to explore the power consumption of digital system designs at an early design stage. We exploit the machine learning techni

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d2fb31dd53831061d7d4fc2530a87774
https://hal.archives-ouvertes.fr/hal-02518770/file/ACM_ML_CAD.pdf