A5076398038- Distributed and Parallel Computing Systems
- Blockchain Technology Applications and Security
- Parallel Computing and Optimization Techniques
- Cloud Computing and Resource Management
- Advanced Vision and Imaging
- Cryptography and Data Security
- Computer Graphics and Visualization Techniques
- Remote-Sensing Image Classification
- Orthopedic Infections and Treatments
- Distributed systems and fault tolerance
- Advanced SAR Imaging Techniques
- Advanced Clustering Algorithms Research
- IoT and Edge/Fog Computing
- Infrared Target Detection Methodologies
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Metallurgy and Material Forming
- Interconnection Networks and Systems
- Image and Signal Denoising Methods
- Advanced Image Fusion Techniques
- Data Mining Algorithms and Applications
- Cell Image Analysis Techniques
- Advanced Data Storage Technologies
- Cloud Data Security Solutions
- Medical Imaging Techniques and Applications
- Data Stream Mining Techniques
Institute for High Performance Computing and Networking
2002-2024
Italian Resuscitation Council
2024
National Research Council
2018-2024
Institute of High Performance Computing
2019
Indian Council of Agricultural Research
2014
Interactions, Corpus, Apprentissages, Représentations
2011
University of Naples Federico II
2008-2010
After more than eight years since the launch of Bitcoin, decentralized transaction ledger functionality implemented through blockchain technology is being used not only for cryptocurrencies, but to register, confirm and transfer any kind contract property. In this work, we analyze most relevant functionalities known issues technology, with intent pointing out possible behaviours that are as efficient reliable they should be when thinking a broader outlook.
The synergy between Artificial Intelligence and the Edge Computing paradigm promises to transfer decision-making processes periphery of sensor networks without involvement central data servers. For this reason, we recently witnessed an impetuous development devices that integrate sensors computing resources in a single board process directly on collection place. Due particular context where they are used, main feature these boards is reduced energy consumption, even if do not exhibit...
Modern graphics processing units (GPUs) have been at the leading edge of increasing parallelism over last 10 years. This fact has encouraged use GPUs in a broader range applications, where developers are required to lever age this technology with new programming models which ease task writing programs run efficiently on GPUs. In paper, we discuss main guidelines assist developer when porting sequential scientific code modern These were carried out by L-BFGS, (Limited memory-) BFGS algorithm...
In order to solve a problem in parallel we need undertake the fundamental step of splitting computational tasks into parts, i.e. decomposing solving. A whatever decomposition does not necessarily lead algorithm with highest performance. This topic is even more important when complex algorithms must be developed for hybrid or heterogeneous architectures. We present an innovative approach which starts from parts (sub-problems). These will regarded as elements algebraic structure and related...
Recent advances in quantum computing and information theory represent a severe threat to the current state of art data protection. In this context, new quantum-safe techniques have emerged recent decades, which fall into post-quantum unconditionally secure cryptographic schemes. The firsts rely on computational problems supposed be hard also for computers. contrast, seconds do not depend difficulty problem are therefore immune power. particular, include Quantum Key Distribution (QKD)...
Image Coregistration for InSAR processing is a time-consuming procedure that usually processed in batch mode. With the availability of low-energy GPU accelerators, at edge now promising perspective. Starting from individuation most computationally intensive kernels existing algorithms, we decomposed cross-correlation problem multilevel point view, intending to design and implement an efficient GPU-parallel algorithm multiple settings, including computing one. We analyzed accuracy performance...
In the last four years, evolution and adoption of blockchain and, more generally, distributed ledger systems have shown affirmation many concepts models with significant differences in system governance suitable applications. This work aims to analyze technology (DLT) critically. Starting from topical idea decentralization, we introduce building blocks currently adopted available centering on their functional aspects impact possible We present some conceptual framing tools helpful...
Data crowdsourcing is an increasingly pervasive and lifestyle-changing technology due to the flywheel effect that results from interaction between Internet of Things Cloud Computing. This paper presents Citizen Science for Sea with Information Technologies (C4Sea-IT) framework. It open platform gathering marine data leisure boat instruments. C4Sea-IT aims provide a coastal gathering, moving, processing, exchange, sharing using existing navigation instruments sensors today's professional...
When information and measures obtained from sequences of microscopic images are subject to time constraints, suitable fast algorithms must be implemented process the whole data set. In this work, we deal with time-lapse microscopy in order detect single yeast cells a microfluidics chip over time. The underlying idea consists determining minimum cost configuration for each couple frames, which can expressed by setting up solving linear programming (LP) problem. Laboratories seldom have...