Explanipedia

Unlocking the compute continuum: Scaling out from cloud to HPC and HTC resources Open

D. Ciangottini, D. Spiga, Shiraz Memon, Andrea Manzi, A. Filipčič , et al. · 2025

In a geo-distributed computing infrastructure with heterogeneous resources (HPC and HTC and possibly cloud), a key to unlock an efficient and user-friendly access to the resources is being able to offload each specific task to the best sui…

Taking on RISC for Energy-Efﬁcient Computing in HEP Open

E. Simili, T. Boccali, Shahzad Muzaffar, Gordon Stewart, Samuel Cadellin Skipsey , et al. · 2025

In pursuit of energy-eﬃcient solutions for computing in High Energy Physics (HEP) we have extended our investigations of non-x86 architectures beyond the ARM platforms that we have previously studied. In this work, we have taken a ﬁrst loo…

Fundamental Research and Space Economy: the Italian strategy in the new "High-Performance Computing, Big Data e Quantum Computing Research Centre" Open

Daniele Bonacorsi, T. Boccali, S. Malvezzi · 2024

Migrating the INFN-CNAF datacenter to the Bologna Tecnopolo: A status update Open

Daniele Cesini, Alessandro Cavalli, Andrea Chierici, Vincenzo Ciaschini, Alessandro Costantini , et al. · 2024

The INFN Tier1 data center is currently located in the premises of the Physics Department of the University of Bologna, where CNAF is also located. During 2023 it will be moved to the “Tecnopolo”, the new facility for research, innovation,…

ICSC: The Italian National Research Centre on HPC, Big Data and Quantum computing Open

C. Grandi, D. Bettoni, T. Boccali, Gianpaolo Carlino, Daniele Cesini , et al. · 2024

ICSC (“Italian Center for SuperComputing”) is one of the five Italian National Centres created within the framework of the NextGenerationEU funding by the European Commission. The aim of ICSC, designed and approved through 2022 and eventua…

ML_INFN project: Status report and future perspectives Open

L. Anderlini, T. Boccali, Stefano Dal Pra, M. Dūma, L. Giommi , et al. · 2024

The ML_INFN initiative (“ Machine Learning at INFN” ) is an effort to foster Machine Learning (ML) activities at the Italian National Institute for Nuclear Physics (INFN). In recent years, artificial intelligence inspired activities have f…

Enabling INFN–T1 to support heterogeneous computing architectures Open

Stefano Dal Pra, D. Spiga, T. Boccali, Andrea Chierici, Lucia Morganti , et al. · 2024

The INFN–CNAF Tier-1 located in Bologna (Italy) is a center of the WLCG e-Infrastructure providing computing power to the four major LHC collaborations and also supports the computing needs of about fifty more groups - also from non HEP re…

HEPScore: A new CPU benchmark for the WLCG Open

Domenico Giordano, Jean-Michel Barbet, T. Boccali, Gonzalo Menéndez Borge, Christopher Hollowell , et al. · 2024

HEPScore is a new CPU benchmark created to replace the HEPSPEC06 benchmark that is currently used by the WLCG for procurement, computing resource pledges, usage accounting and performance studies. The development of the new benchmark, base…

Enabling CMS Experiment to the utilization of multiple hardware architectures: a Power9 Testbed at CINECA Open

T. Boccali, D. Spiga, Alan Malta Rodrigues, M Mascheroni, F. Fanzago · 2023

The CMS software stack (CMSSW) is built on a nightly basis for multiple hardware architectures and compilers, in order to benefit from the diverse platforms. In practice, still, only x86_64 binaries are used in production, and are supporte…

Extending the distributed computing infrastructure of the CMS experiment with HPC resources Open

Jennifer Adelman-McCarthy, T. Boccali, René Caspart, A. Delgado Peris, Max Fischer , et al. · 2023

Particle accelerators are an important tool to study the fundamental properties of elementary particles. Currently the highest energy accelerator is the LHC at CERN, in Geneva, Switzerland. Each of its four major detectors, such as the CMS…

Towards EXtreme scale technologies and accelerators for euROhpc hw/Sw supercomputing applications for exascale: The TEXTAROSSA approach Open

Giovanni Agosta, Marco Aldinucci, Carlos Álvarez, Roberto Ammendola, Yasir Arfat , et al. · 2022

Materials and devices for fundamental quantum science and quantum technologies Open

Marco Polini, Francesco Giazotto, Kin Chung Fong, Ioan Pop, Carsten Schuck , et al. · 2022

Technologies operating on the basis of quantum mechanical laws and resources such as phase coherence and entanglement are expected to revolutionize our future. Quantum technologies are often divided into four main pillars: computing, simul…

Materials and devices for fundamental quantum science and quantum\n technologies Open

Marco Polini, Francesco Giazotto, Kin Chung Fong, Ioan M. Pop, Carsten Schuck , et al. · 2022

Technologies operating on the basis of quantum mechanical laws and resources\nsuch as phase coherence and entanglement are expected to revolutionize our\nfuture. Quantum technologies are often divided into four main pillars:\ncomputing, si…

Enhancing the impact of Artificial Intelligence in Medicine: A joint AIFM-INFN Italian initiative for a dedicated cloud-based computing infrastructure Open

Alessandra Retico, Michele Avanzo, T. Boccali, D. Bonacorsi, Francesca Botta , et al. · 2021

A possible solution for HEP processing on network secluded Computing Nodes Open

T. Boccali, Mirko Mariotti, D. Spiga · 2021

The computing needs of LHC experiments in the next decades (the so-called High Luminosity LHCm HL-LHC) are expected to increase substantially, due to the concurrent increases in the accelerator luminosity, in the selection rates and in the…

Enabling HPC systems for HEP: the INFN-CINECA Experience Open

T. Boccali, D. Ciangottini, F. Noferini, C. Bozzi, S. Perazzini , et al. · 2021

In this report we want to describe a successful integration exercise between CINECA (PRACE Tier-0) Marconi KNL system and LHC processing. A production-level system has been deployed using a 30 Mhours grant from the 18th Call for PRACE Proj…

TEXTAROSSA: Towards EXtreme scale Technologies and Accelerators for euROhpc hw/Sw Supercomputing Applications for exascale Open

Giovanni Agosta, Daniele Cattaneo, William Fornaciari, Andrea Galimberti, Giuseppe Massari , et al. · 2021

To achieve high performance and high energy efficiency on near-future exascale computing systems, three key technology gaps needs to be bridged. These gaps include: energy efficiency and thermal control; extreme computation efficiency via …

The novel Mechanical Ventilator Milano for the COVID-19 pandemic Open

Alessandro Abbà, C. Accorsi, P. Agnes, E. Alessi, P. Amaudruz , et al. · 2021

This paper presents the Mechanical Ventilator Milano (MVM), a novel intensive therapy mechanical ventilator designed for rapid, large-scale, low-cost production for the COVID-19 pandemic. Free of moving mechanical parts and requiring only …

Dynamic Distribution of High-Rate Data Processing from CERN to Remote HPC Data Centers Open

T. Boccali, D. Cameron, Nicholas P. Cardo, D. Conciatore, A. Di Girolamo , et al. · 2021

The prompt reconstruction of the data recorded from the Large Hadron Collider (LHC) detectors has always been addressed by dedicated resources at the CERN Tier-0. Such workloads come in spikes due to the nature of the operation of the acce…

First experiences with a portable analysis infrastructure for LHC at INFN Open

D. Ciangottini, T. Boccali, Andrea Ceccanti, D. Spiga, Davide Salomoni , et al. · 2021

The challenges proposed by the HL-LHC era are not limited to the sheer amount of data to be processed: the capability of optimizing the analyser's experience will also bring important benefits for the LHC communities, in terms of total res…

Dynamic Distribution of High-Rate Data Processing from CERN to Remote HPC Data Centers Open

T. Boccali, David Cameron, Nicholas P. Cardo, D. Conciatore, A. Di Girolamo , et al. · 2021

The prompt reconstruction of the data recorded from the Large Hadron Collider (LHC) detectors has always been addressed by dedicated resources at the CERN Tier-0. Such workloads come in spikes due to the nature of the operation of the acce…

Turning Open Science and Open Innovation into reality: ICDI Position paper on EOSC Partnership Strategic Research and Innovation Agenda Open

Sanzio Bassini, T. Boccali, Stefano Cacciaguerra, Donatella Castelli, Massimo Celino , et al. · 2020

The report summarises the views expressed by the Italian Computing and Data Initiative (ICDI) in response to the open consultation for the EOSC Strategic Research and Innovation Agenda (SRIA), closed on the 31st of August. It provides insi…

HL-LHC Computing Review: Common Tools and Community Software Open

T. K. Aarrestad, S. Amoroso, Markus Julian Atkinson, Joshua Bendavid, T. Boccali , et al. · 2020

Common and community software packages, such as ROOT, Geant4 and event generators have been a key part of the LHC's success so far and continued development and optimisation will be critical in the future. The challenges are driven by an a…

Using DODAS as deployment manager for smart caching of CMS data management system Open

Mirco Tracolli, Marica Antonacci, T. Boccali, D. Bonacorsi, D. Ciangottini , et al. · 2020

DODAS stands for Dynamic On Demand Analysis Service and is a Platform as a Service toolkit built around several EOSC-hub services designed to instantiate and configure on-demand container-based clusters over public or private Cloud resourc…

CMS Software and Offline preparation for future runs Open

T. Boccali · 2020

The next LHC Runs, nominally Run III and Run IV, pose problems to the offline and computing systems in CMS. Run IV in particular will need completely different solutions, given the current estimates of LHC conditions and Trigger estimates.…

New developments in cost modeling for the LHC computing Open

C. Biscarat, T. Boccali, D. Bonacorsi, C. Bozzi, D. Costanzo , et al. · 2020

The increase in the scale of LHC computing during Run 3 and Run 4 (HL-LHC) will certainly require radical changes to the computing models and the data processing of the LHC experiments. The working group established by WLCG and the HEP Sof…

Smart Caching at CMS: applying AI to XCache edge services Open

D. Spiga, D. Ciangottini, Mirco Tracolli, T. Tedeschi, Daniele Cesini , et al. · 2020

The projected Storage and Compute needs for the HL-LHC will be a factor up to 10 above what can be achieved by the evolution of current technology within a flat budget. The WLCG community is studying possible technical solutions to evolve …

Integration of the Italian cache federation within the CMS computing model Open

D. Ciangottini, G. Bagliesi, M. Biasotto, T. Boccali, Daniele Cesini , et al. · 2019

The next decades at HL-LHC will be characterized by a huge increase of both storage and\ncomputing requirements (between one and two orders of magnitude). Moreover we foresee a\nshift on resources provisioning towards the exploitation of d…

The BondMachine toolkit: Enabling Machine Learning on FPGA Open

Mirko Mariotti, Loriano Storchi, D. Spiga, Davide Salomoni, T. Boccali , et al. · 2019

The BondMachine (BM) is an innovative prototype software ecosystem aimed at creating facilities where both hardware and software are co-designed, guaranteeing a full exploitation of fabric capabilities (both in terms of concurrency and het…

Extension of the INFN Tier-1 on a HPC system Open

T. Boccali, Stefano Dal Pra, D. Spiga, D. Ciangottini, S. Zani , et al. · 2019

The INFN Tier-1 located at CNAF in Bologna (Italy) is a major center of the WLCG e-Infrastructure, supporting the 4 major LHC collaborations and more than 30 other INFN-related experiments. After multiple tests towards elastic expansion of…

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