A5079559754- Astrophysics and Cosmic Phenomena
- Dark Matter and Cosmic Phenomena
- Distributed and Parallel Computing Systems
- Scientific Computing and Data Management
- Neutrino Physics Research
- Particle physics theoretical and experimental studies
- Radio Astronomy Observations and Technology
- Parallel Computing and Optimization Techniques
- Data Mining Algorithms and Applications
- Data Management and Algorithms
- Meteorological Phenomena and Simulations
- Advanced Data Storage Technologies
- Data Stream Mining Techniques
- Algorithms and Data Compression
- Advanced Database Systems and Queries
- Climate variability and models
- Ionosphere and magnetosphere dynamics
- Atmospheric and Environmental Gas Dynamics
- Oceanographic and Atmospheric Processes
- Methane Hydrates and Related Phenomena
- Particle Detector Development and Performance
- Peer-to-Peer Network Technologies
- Geophysics and Gravity Measurements
- High-Energy Particle Collisions Research
- Atmospheric Ozone and Climate
University of Salento
2016-2025
Istituto Nazionale di Fisica Nucleare, Sezione di Lecce
2008-2024
CMCC Foundation - Euro-Mediterranean Center on Climate Change
2012-2024
Institute of Astronomy and Space Physics
2021-2023
Consejo Nacional de Investigaciones Científicas y Técnicas
2021-2023
Universidad Nacional de La Plata
2021-2023
University of Buenos Aires
2021-2023
Instituto de Tecnologías en Detección y Astropartículas
2021-2023
National University of General San Martín
2021-2023
National Technological University
2021-2023
Abstract. The Coupled Model Intercomparison Project (CMIP) is one of the biggest international efforts aimed at better understanding past, present, and future climate changes in a multi-model context. A total 21 model intercomparison projects (MIPs) were endorsed its sixth phase (CMIP6), which included 190 different experiments that used to simulate 40 000 years produced around PB data total. This paper presents main findings obtained from CPMIP (the Computational Performance Project),...
The atmospheric depth of the air shower maximum $X_{\mathrm{max}}$ is an observable commonly used for determination nuclear mass composition ultra-high energy cosmic rays. Direct measurements are performed using observations longitudinal development with fluorescence telescopes. At same time, several methods have been proposed indirect estimation from characteristics particles registered surface detector arrays. In this paper, we present a deep neural network (DNN) $X_{\mathrm{max}}$....
Fast and accurate estimation of quantiles on data streams coming from communication networks, Internet Things (IoT), alike, is at the heart important processing applications including statistical analysis, latency monitoring, query optimization for parallel database management systems, more. Indeed, are more robust indicators underlying distribution, compared to moment-based such as mean variance. The streaming setting additionally constrains tracking quantiles, stream items may arrive a...
Preventing forest fires is crucial to mitigate the significant economic and human losses caused by wildfire outbreaks, which are expected worsen due climatic changes. Identifying regions at high risk for essential both preventing occurrences optimizing resource management during season. We have developed an operational pipeline estimating daily Fire Danger Index (FDI) using a data-driven approach machine-learning techniques. This presentation will provide overview of...
Numerical reproducibility is a crucial yet often overlooked challenge in ensuring the credibility of computational results and validity Earth system models. In large-scale, massively parallel simulations, achieving numerical complicated by factors such as heterogeneous HPC architectures, floating point intricacies, complex hardware/software dependencies, non-deterministic nature execution.This work addresses challenges debugging bitwise (BR) specifically for MPI-parallelised OceanVar data...
An accurate spatial distribution of forest species composition is essential for biodiversity monitoring, management and protection. Combining this information with field structural metrics (e.g., basal area, co-occurrences, canopy height) significantly improves our ability to estimate ecosystem functions understand their relationship biodiversity. These insights are crucial regional assessments, territorial planning, management, contributing directly nature conservation. A geospatial...
Accurate oil spill predictions are crucial for mitigating environmental and socioeconomic impacts. Numerical models, like MEDSLIK-II (De Dominicis et al., 2013), simulate advection, dispersion, transformation, but their performance depends heavily on the configuration of physical parameters, often requiring labor-intensive manual tuning based expert judgment.To address this limitation, we integrate with a Bayesian Optimization (BO) framework to systematically identify optimal parameter...
The Pierre Auger Observatory, at present the largest cosmic-ray observatory ever built, is instrumented with a ground array of 1600 water-Cherenkov detectors, known as Surface Detector (SD). SD samples secondary particle content (mostly photons, electrons, positrons and muons) extensive air showers initiated by cosmic rays energies ranging from $10^{17}~$eV up to more than $10^{20}~$eV. Measuring independent contribution muon component total registered signal crucial enhance capability...
Abstract. We review how the international modelling community, encompassing Integrated Assessment models, global and regional Earth system climate impact have worked together over past few decades, to advance understanding of change its impacts on society environment, support policy. then recommend a number priority research areas for coming ~6 years (i.e. until ~2030), timescale that matches newly starting activities encompasses IPCC 7th Report (AR7) 2nd UNFCCC Global Stocktake. Progress in...
We report a measurement of the energy spectrum cosmic rays above $2.5{\times} 10^{18}$ eV based on $215,030$ events. New results are presented: at about $1.3{\times} 10^{19}$ eV, spectral index changes from $2.51 \pm 0.03 \textrm{ (stat.)} 0.05 (sys.)}$ to $3.05 (stat.)}\pm 0.10\textrm{ (sys.)}$, evolving $5.1\pm0.3\textrm{ 0.1\textrm{ beyond $5{\times} while no significant dependence features declination is seen in accessible range. These can be reproduced models with energy-dependent mass...
Summary Given an array of n elements and a value 2≤ k ≤ , frequent item or ‐majority element is occurring in more than / times. The problem requires finding all the elements. In this paper, we deal with parallel shared‐memory algorithms for items; present version Space Saving algorithm, study its behavior regard to accuracy performance on many multi‐core processors, including Intel Phi accelerator. We also investigate hybrid MPI/OpenMP against pure MPI‐based version. Through extensive...
Abstract This paper describes the Grid Resource Broker (GRB), a portal built leveraging set of high‐level, Globus‐Toolkit‐based libraries called GRB libraries. The leverages Liferay framework to provide users with an intuitive, highly customizable Web GUI. underlying middleware allows trusted seamless access their computational environments. Copyright © 2007 John Wiley & Sons, Ltd.
Ship sailing is a complex endeavour, requiring carefully considered proactive and reactive strategies in choosing the course of action that best suits various events to be managed. Humans are already supported by different technologies for sailing, however these usually available isolation. In this paper we show how use simultaneously three fusing their information order provide enhanced support ship sailing. To our knowledge no similar approach reported literature from an operational point...
In this paper we report on the current status of GSI plug-in for gSOAP, an open source solution to problem securing Web services in grid environments.
We deal with the problem of detecting frequent items in a stream under constraint that are weighted, and recent must be weighted more than older ones. This kind naturally arises wide class applications which data is considered useful valuable regard to older, stale data. The weight assigned an item is, therefore, function its arrival timestamp. As consequence, whilst traditional mining we need estimate frequency counts, instead required decayed counts. These said work time fading model. Two...
Abstract. We review how the international modelling community, encompassing integrated assessment models, global and regional Earth system climate impact has worked together over past few decades to advance understanding of change its impacts on society environment thereby support policy. go recommend a number priority research areas for coming decade, timescale that encompasses newly starting activities, as well IPCC Seventh Assessment Report (AR7) second UNFCCC Global Stocktake. Progress...
We present four CUDA based parallel implementations of the Space-Saving algorithm for determining frequent items on a GPU. The first variant exploits open-source CUB library to simplify implementation user's defined reduction, whilst second is our own reduction. third and fourth, built previous variants, are meant improve performance by taking advantage hardware atomic instructions. In particular, we implement warp ballot mechanism accelerate updates. show that coupled with update mechanism,...