Original Research

Published on 24 Jun 2021

Interactive Web-Based Visualization of Multidimensional Physical and Astronomical Data

in Big Data and AI in High Energy Physics

Faruk Diblen
Luc Hendriks
Bob Stienen
Sascha Caron
Rena Bakhshi
Jisk Attema

Frontiers in Big Data

doi 10.3389/fdata.2021.626998

3,162 views
2 citations

Original Research

Published on 07 Jun 2021

CutLang v2: Advances in a Runtime-Interpreted Analysis Description Language for HEP Data

in Big Data and AI in High Energy Physics

G. Unel
S. Sekmen
A. M. Toon
B. Gokturk
B. Orgen
A. Paul
N. Ravel
J. Setpal

Frontiers in Big Data

doi 10.3389/fdata.2021.659986

3,267 views
1 citation

Original Research

Published on 11 May 2021

Increasing the Execution Speed of Containerized Analysis Workflows Using an Image Snapshotter in Combination With CVMFS

in Big Data and AI in High Energy Physics

Simone Mosciatti
Clemens Lange
Jakob Blomer

Frontiers in Big Data

doi 10.3389/fdata.2021.673163

2,887 views
2 citations

Original Research

Published on 07 May 2021

Scalable Declarative HEP Analysis Workflows for Containerised Compute Clouds

in Big Data and AI in High Energy Physics

Tibor Šimko
Lukas Alexander Heinrich
Clemens Lange
Adelina Eleonora Lintuluoto
Danika Marina MacDonell
Audrius Mečionis
Diego Rodríguez Rodríguez
Parth Shandilya
Marco Vidal García

Frontiers in Big Data

doi 10.3389/fdata.2021.661501

3,703 views
3 citations

Original Research

Published on 14 Jan 2021

GPU-Accelerated Machine Learning Inference as a Service for Computing in Neutrino Experiments

in Big Data and AI in High Energy Physics

Michael Wang
Tingjun Yang
Maria Acosta Flechas
Philip Harris
Benjamin Hawks
Burt Holzman
Kyle Knoepfel
Jeffrey Krupa
Kevin Pedro
Nhan Tran

Frontiers in Big Data

doi 10.3389/fdata.2020.604083

7,493 views
21 citations

Original Research

Published on 12 Jan 2021

Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics

in Big Data and AI in High Energy Physics

Yutaro Iiyama
Gianluca Cerminara
Abhijay Gupta
Jan Kieseler
Vladimir Loncar
Maurizio Pierini
Shah Rukh Qasim
Marcel Rieger
Sioni Summers
Gerrit Van Onsem

Frontiers in Big Data

doi 10.3389/fdata.2020.598927

9,716 views
47 citations

Original Research

Published on 21 Dec 2020

Heterogeneous Reconstruction of Tracks and Primary Vertices With the CMS Pixel Tracker

in Big Data and AI in High Energy Physics

A. Bocci
V. Innocente
M. Kortelainen
F. Pantaleo
M. Rovere

Frontiers in Big Data

doi 10.3389/fdata.2020.601728

5,143 views
26 citations

Original Research

Published on 27 Nov 2020

CLUE: A Fast Parallel Clustering Algorithm for High Granularity Calorimeters in High-Energy Physics

in Big Data and AI in High Energy Physics

Marco Rovere
Ziheng Chen
Antonio Di Pilato
Felice Pantaleo
Chris Seez

Frontiers in Big Data

doi 10.3389/fdata.2020.591315

6,108 views
18 citations

Navigation group

Articles

Interactive Web-Based Visualization of Multidimensional Physical and Astronomical Data

CutLang v2: Advances in a Runtime-Interpreted Analysis Description Language for HEP Data

Increasing the Execution Speed of Containerized Analysis Workflows Using an Image Snapshotter in Combination With CVMFS

Scalable Declarative HEP Analysis Workflows for Containerised Compute Clouds

GPU-Accelerated Machine Learning Inference as a Service for Computing in Neutrino Experiments

Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics

Heterogeneous Reconstruction of Tracks and Primary Vertices With the CMS Pixel Tracker

CLUE: A Fast Parallel Clustering Algorithm for High Granularity Calorimeters in High-Energy Physics