9 citations · 37 across the 14 of their papers we have counts for
6 papers · 1 filter
SkimROOT: Accelerating LHC Data Filtering with Near-Storage Processing
Narangerelt Batsoyol, Jonathan Guiang, Diego Davila +4
Data analysis in high-energy physics (HEP) begins with data reduction, where vast datasets are filtered to extract relevant events. At the Large Hadron Collider (LHC), this process…
CRIU -- Checkpoint Restore in Userspace for computational simulations and scientific applications
Fabio Andrijauskas, Igor Sfiligoi, Diego Davila +5
Creating new materials, discovering new drugs, and simulating systems are essential processes for research and innovation and require substantial computational power. While many ap…
Studying Scientific Data Lifecycle in On-demand Distributed Storage Caches
Julian Bellavita, Alex Sim, Kesheng Wu +4
The XRootD system is used to transfer, store, and cache large datasets from high-energy physics (HEP). In this study we focus on its capability as distributed on-demand storage cac…
Data intensive physics analysis in Azure cloud
Igor Sfiligoi, Frank Würthwein, Diego Davila
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 pr…
Systematic benchmarking of HTTPS third party copy on 100Gbps links using XRootD
Edgar Fajardo, Aashay Arora, Diego Davila +3
The High Luminosity Large Hadron Collider provides a data challenge. The amount of data recorded from the experiments and transported to hundreds of sites will see a thirty fold in…
Moving the California distributed CMS xcache from bare metal into containers using Kubernetes
Edgar Fajardo, Matevz Tadel, Justas Balcas +5
The University of California system has excellent networking between all of its campuses as well as a number of other Universities in CA, including Caltech, most of them being conn…