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相关论文: Extension of the INFN Tier-1 on a HPC system

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The distributed Grid infrastructure for High Energy Physics experiments at the Large Hadron Collider (LHC) in Geneva comprises a set of computing centres, spread all over the world, as part of the Worldwide LHC Computing Grid (WLCG). In…

分布式、并行与集群计算 · 计算机科学 2021-06-07 Tommaso Diotalevi , Antonio Falabella , Barbara Martelli , Diego Michelotto , Lucia Morganti , Daniele Bonacorsi , Luca Giommi , Simone Rossi Tisbeni

CHIPP (Computing HTC in INAF Pilot Project) is an Italian project funded by the Italian Institute for Astrophysics (INAF) and promoted by the ICT office of INAF. The main purpose of the CHIPP project is to coordinate the use of, and access…

High Performance Computing (HPC) supercomputers are expected to play an increasingly important role in HEP computing in the coming years. While HPC resources are not necessarily the optimal fit for HEP workflows, computing time at HPC…

分布式、并行与集群计算 · 计算机科学 2020-11-20 Federico Stagni , Andrea Valassi , Vladimir Romanovskiy

Moving from a National Grid Testbed to a Production quality Grid service for the HEP applications requires an effective operations structure and organization, proper user and operations support, flexible and efficient management and…

数据分析、统计与概率 · 物理学 2007-05-23 Maria Cristina Vistoli , Luciano Gaido , Federico Calzolari

Machine Learning (ML) is profoundly reshaping the way researchers create, implement, and operate data-intensive software. Its adoption, however, introduces notable challenges for computing infrastructures, particularly when it comes to…

分布式、并行与集群计算 · 计算机科学 2025-10-30 Lucio Anderlini , Giulio Bianchini , Diego Ciangottini , Stefano Dal Pra , Diego Michelotto , Rosa Petrini , Daniele Spiga

The paper presents the new enhancement to the Data Center named DC1 at the University of Naples "Federico II". The ICSC funds at INFN have allowed to improve the power and cooling subsystems, while other funds from the PNRR (the STILES…

天体物理仪器与方法 · 物理学 2025-02-24 Fabio Ragosta , Antonio Ferragamo , Massimo Brescia , Guido Russo

Rotorcraft technologies pose great scientific and industrial challenges for numerical computing. As available computational resources approach the exascale, finer scales and therefore more accurate simulations of engineering test cases…

分布式、并行与集群计算 · 计算机科学 2022-07-26 Nicoletta Sanguini , Tommaso Benacchio , Daniele Malacrida , Federico Cipolletta , Francesco Rondina , Antonio Sciarappa , Luigi Capone

This paper assesses and reports the experience of ten teams working to port,validate, and benchmark several High Performance Computing applications on a novel GPU-accelerated Arm testbed system. The testbed consists of eight NVIDIA Arm HPC…

As exascale systems reach unprecedented concurrency, traditional performance analysis tools struggle with the overhead of massive-scale telemetry. We present an accelerated infrastructure for the hpcanalysis framework that leverages a…

分布式、并行与集群计算 · 计算机科学 2026-05-12 Dragana Grbic

The LCLS2 Free Electron Laser FEL will generate xray pulses to beamline experiments at up to 1Mhz These experimentals will require new ultrahigh rate UHR detectors that can operate at rates above 100 kHz and generate data throughputs…

仪器与探测器 · 物理学 2023-06-01 Ryan Herbst , Ryan Coffee , Nathan Fronk , Kukhee Kim , Kuktae Kim , Larry Ruckman , J. J. Russell

The INFN and the ICARUS collaboration originally developed the technology of the LAr-TPC. Located the underground LNGS Hall-B, the ICARUS T600 detector has been performed over three years with remarkable detection efficiency featuring a…

Scientific simulation leveraging high-performance computing (HPC) systems is crucial for modeling complex systems and phenomena in fields such as astrophysics, climate science, and fluid dynamics, generating massive datasets that often…

分布式、并行与集群计算 · 计算机科学 2025-07-03 Wenqi Jia , Ying Huang , Jian Xu , Zhewen Hu , Sian Jin , Jiannan Tian , Yuede Ji , Miao Yin

The complexity of modern and upcoming computing architectures poses severe challenges for code developers and application specialists, and forces them to expose the highest possible degree of parallelism, in order to make the best use of…

分布式、并行与集群计算 · 计算机科学 2020-06-08 Salvatore Cielo , Luigi Iapichino , Fabio Baruffa , Matteo Bugli , Christoph Federrath

High Performance and Energy Efficiency are critical requirements for Internet of Things (IoT) end-nodes. Exploiting tightly-coupled clusters of programmable processors (CMPs) has recently emerged as a suitable solution to address this…

硬件体系结构 · 计算机科学 2023-09-06 Jie Chen , Igor Loi , Eric Flamand , Giuseppe Tagliavini , Luca Benini , Davide Rossi

The Knights Landing (KNL) is the codename for the latest generation of Intel processors based on Intel Many Integrated Core (MIC) architecture. It relies on massive thread and data parallelism, and fast on-chip memory. This processor…

分布式、并行与集群计算 · 计算机科学 2018-04-06 Enrico Calore , Alessandro Gabbana , Sebastiano Fabio Schifano , Raffaele Tripiccione

Generative Artificial Intelligence (GenAI) applications are built from specialized components -- inference servers, object storage, vector and graph databases, and user interfaces -- interconnected via web-based APIs. While these components…

分布式、并行与集群计算 · 计算机科学 2025-09-30 Angel M. Beltre , Jeff Ogden , Kevin Pedretti

The XENON experiment is looking for non-baryonic particle dark matter in the universe. The setup is a dual phase time projection chamber (TPC) filled with 3200 kg of ultra-pure liquid xenon. The setup is operated at the Laboratori Nazionali…

This Document contains a complete technical description of the system devoted to the upgrade of the STAR Linear Accelerator (STAR Linac). According to the Contract signed between Universita della Calabria (UniCal) and Istituto Nazionale di…

The HENP computing facility at Brookhaven National Laboratory supports both the Relativistic Heavy Ion Collider (RHIC) and US involvement in the ATLAS LHC experiment. The facility includes 150 TBytes of centralized online (disk) storage,…

计算物理 · 物理学 2007-05-23 Maurice Askinazi , David Free , Bruce Gibbard , Thomas Throwe
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