67 citations · 81 across the 6 of their papers we have counts for
6 papers
A multithread AES accelerator for Cyber-Physical Systems
Francesco Ratto, Luigi Raffo, Francesca Palumbo
Computing elements of CPSs must be flexible to ensure interoperability; and adaptive to cope with the evolving internal and external state, such as battery level and critical tasks…
An adaptive cognitive sensor node for ECG monitoring in the Internet of Medical Things
Matteo Antonio Scrugli, Daniela Loi, Luigi Raffo +1
The Internet of Medical Things (IoMT) paradigm is becoming mainstream in multiple clinical trials and healthcare procedures. Cardiovascular diseases monitoring, usually involving e…
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 +2
Modern embedded and cyber-physical systems require every day more performance, power efficiency and flexibility, to execute several profiles and functionalities targeting the ever…
Run-time Performance Monitoring of Heterogenous Hw/Sw Platforms Using PAPI
Tiziana Fanni, Daniel Madronal, Claudio Rubattu +6
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 w…
Optimizing Temporal Convolutional Network inference on FPGA-based accelerators
Marco Carreras, Gianfranco Deriu, Luigi Raffo +2
Convolutional Neural Networks are extensively used in a wide range of applications, commonly including computer vision tasks like image and video classification, recognition, and s…
NEURAghe: Exploiting CPU-FPGA Synergies for Efficient and Flexible CNN Inference Acceleration on Zynq SoCs
Paolo Meloni, Alessandro Capotondi, Gianfranco Deriu +5
Deep convolutional neural networks (CNNs) obtain outstanding results in tasks that require human-level understanding of data, like image or speech recognition. However, their compu…