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Big-Data-Oriented Computing on a Mid-Size Data Center: the ADHOC Infrastructure

Authors:
Augusto Tortora
Massimo Brescia
Stefania Conte
Paolino Guida
Guido Russo
Bernardino Spisso

Keywords: Data Center; Scientific Computing; Big Data; GPUs.

Abstract:
This work presents the implementation of a mid-size Data Center devoted to Physics data analysis, realized in 2023-24 at the University of Naples, as the second upgrade to a previous Data Center built on 2007 during SCoPE project. Data Center had a first upgrade, during RECAS project, in 2014. After PNRR projects (STILES, CN1), the Data Center handles about 100 servers, 10.000 cores, 100 GPUs, 10 Pbytes of storage, and is used for big data analysis in astrophysics, high energy physics, material science and theoretical physics. The purpose of this work is to illustrate and demonstrate how it is possible to effectively and efficiently perform physical and astrophysical analyses in the mid-size Data Center, using Big Data, on unstructured datasets.

Pages: 1 to 7

Copyright: Copyright (c) IARIA, 2024

Publication date: April 14, 2024

Published in: conference

ISSN: 2308-3735

ISBN: 978-1-68558-160-2

Location: Venice, Italy

Dates: from April 14, 2024 to April 18, 2024