A case study on parallel HDF5 dataset concatenation for high energy physics data analysis-Reference-Cited by-同舟云学术

A case study on parallel HDF5 dataset concatenation for high energy physics data analysis

Published:2022-05 Issue: Volume:110 Page:102877
ISSN:0167-8191
Container-title:Parallel Computing
language:en
Short-container-title:Parallel Computing

Author:

Lee Sunwoo^ORCID,Hou Kai-yuan^ORCID,Wang Kewei,Sehrish Saba^ORCID,Paterno Marc^ORCID,Kowalkowski James^ORCID,Koziol Quincey^ORCID,Ross Robert B.,Agrawal Ankit,Choudhary Alok,Liao Wei-keng

Funder

US Department of Energy

National Nuclear Security Administration Office of Defense Programs

Office of Science

National Nuclear Security Administration

Advanced Scientific Computing Research

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Graphics and Computer-Aided Design,Computer Networks and Communications,Hardware and Architecture,Theoretical Computer Science,Software

Reference25 articles.

1. Python and HPC for high energy physics data analyses;Sehrish,2017

2. Spark and HPC for high energy physics data analyses;Sehrish,2017

3. Parallel event selection on HPC systems;Paterno,2019

4. . Fermi National Accelerator Laboratory, NOvA experiment, https://novaexperiment.fnal.gov/.

5. Hierarchical data format, version 5;The HDF Group,1997

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