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High-performance object stores are an emerging technology which offers an alternative solution in the field of HPC storage, with potential to address long-standing scalability issues in traditional distributed POSIX file systems due to…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-11-18 Nicolau Manubens , Simon D. Smart , Tiago Quintino , Adrian Jackson

In this research paper so as to handle Information warehousing as well as online synthetic dispensation OLAP are necessary aspects of conclusion support which takes more and more turn into a focal point of the data source business.This…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-12-28 Ahmed Mateen , Lareab Chaudhary

The Compact Muon Solenoid (CMS) experiment at the Large Hadron Collider (LHC) is one of the largest data producers in the scientific world, with standard data products centrally produced, and then used by often competing teams within the…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-12-20 Igor Sfiligoi , Frank Würthwein , Diego Davila

To produce the best physics results, high energy physics experiments require access to calibration and other non-event data during event data processing. These conditions data are typically stored in databases that provide versioning…

ATLAS Open Data for Education delivers proton--proton collision data from the ATLAS experiment at CERN to the public along with open-access resources for education and outreach. To date ATLAS has released a substantial amount of data from 8…

High Energy Physics - Experiment · Physics 2025-03-03 Giovanni Guerrieri

The High Level Trigger (HLT) of the future ALICE heavy-ion experiment has to reduce its input data rate of up to 25 GB/s to at most 1.25 GB/s for output before the data is written to permanent storage. To cope with these data rates a large…

Distributed, Parallel, and Cluster Computing · Computer Science 2009-09-29 Timm M. Steinbeck

The idea of computational storage device (CSD) has come a long way since at least 1990s [1], [2]. By embedding computing resources within storage devices, CSDs could potentially offload computational tasks from CPUs and enable near-data…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-04-23 Chao Shi , Anthony Manschula , Tabassum Mahmud , Zeren Yang , Mai Zheng , Yong Chen , Jim Wayda , Matthew Wolf , Byungwoo Bang

The recent proliferation of Data Grids and the increasingly common practice of using resources as distributed data stores provide a convenient environment for communities of researchers to share, replicate, and manage access to copies of…

Distributed, Parallel, and Cluster Computing · Computer Science 2007-05-23 Sudharshan Vazhkudai , Jennifer M. Schopf

The COMPASS Experiment at the CERN SPS has a broad physics program focused on the nucleon spin structure and on hadron spectroscopy, using muon and hadron beams. Main objectives for the spin program with the muon beam are the direct…

High Energy Physics - Experiment · Physics 2017-08-23 A. Bressan

Array operations are one of the most concise ways of expressing common filtering and simple aggregation operations that is the hallmark of the first step of a particle physics analysis: selection, filtering, basic vector operations, and…

Databases · Computer Science 2021-09-08 Gordon Watts

The ALICE experiment has undergone a major upgrade for LHC Run 3 and will collect data at an interaction rate 50 times larger than before. The new computing scheme for Run 3 replaces the traditionally separate online and offline frameworks…

Instrumentation and Detectors · Physics 2022-08-17 David Rohr

The pervasive availability of streaming data is driving interest in distributed Fast Data platforms for streaming applications. Such latency-sensitive applications need to respond to dynamism in the input rates and task behavior using…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-03-28 Nanjangud C. Narendra , Sambit Nayak , Anshu Shukla

The data storage and data management needs are summarized for the energy frontier, intensity frontier, cosmic frontier, lattice field theory, perturbative QCD and accelerator science. The outlook for data storage technologies and costs is…

High Energy Physics - Experiment · Physics 2013-11-20 Michelle Butler , Richard Mount , Mike Hildreth

The D0 experiment at Fermilab relies on a central Oracle database for storing all detector calibration information. Access to this data is needed by hundreds of physics applications distributed worldwide. In order to meet the demands of…

Distributed, Parallel, and Cluster Computing · Computer Science 2008-11-26 Herbert Greenlee , Robert Illingworth , Jim Kowalkowski , Anil Kumar , Lee Lueking , Taka Yasuda , Margherita Vittone , Stephen White

In this paper we propose an approach for executing data transformations near- or in-storage on intelligent storage systems. The currently prevailing approach of extracting the data and then transforming it to a target format suffers…

Databases · Computer Science 2026-01-27 Arthur Bernhardt , David Volz , Sajjad Tamimi , Andreas Koch , Ilia Petrov

The rapid evolution of Cyber-Physical Systems (CPS) across various domains like mobility systems, networked control systems, sustainable manufacturing, smart power grids, and the Internet of Things necessitates innovative solutions that…

Optimization and Control · Mathematics 2024-06-25 Andreas A. Malikopoulos

Data-intensive science is increasingly reliant on real-time processing capabilities and machine learning workflows, in order to filter and analyze the extreme volumes of data being collected. This is especially true at the energy and…

Artificial Intelligence · Computer Science 2021-04-21 Chinmaya Mahesh , Kristin Dona , David W. Miller , Yuxin Chen

Many scientific applications opt for particles instead of meshes as their basic primitives to model complex systems composed of billions of discrete entities. Such applications span a diverse array of scientific domains, including molecular…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-11-04 Longtao Zhang , Ruoyu Li , Congrong Ren , Sheng Di , Jinyang Liu , Jiajun Huang , Robert Underwood , Pascal Grosset , Dingwen Tao , Xin Liang , Hanqi Guo , Franck Capello , Kai Zhao

Data-intensive physics facilities are increasingly reliant on heterogeneous and large-scale data processing and computational systems in order to collect, distribute, process, filter, and analyze the ever increasing huge volumes of data…

High Energy Physics - Experiment · Physics 2022-03-21 Rainer Bartoldus , Catrin Bernius , David W. Miller

The goal of the COMPASS experiment at CERN is to study the structure and dynamics of hadrons. The two-stage spectrometer used by the experiment has large acceptance and covers a wide kinematic range for charged as well as neutral particles…

High Energy Physics - Experiment · Physics 2016-12-21 Boris Grube