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Title: Parallel File System I/O Performance Testing On LANL Clusters

Abstract

These are slides from a presentation on parallel file system I/O performance testing on LANL clusters. I/O is a known bottleneck for HPC applications. Performance optimization of I/O is often required. This summer project entailed integrating IOR under Pavilion and automating the results analysis. The slides cover the following topics: scope of the work, tools utilized, IOR-Pavilion test workflow, build script, IOR parameters, how parameters are passed to IOR, *run_ior: functionality, Python IOR-Output Parser, Splunk data format, Splunk dashboard and features, and future work.

Authors:
 [1];  [1]
  1. Los Alamos National Lab. (LANL), Los Alamos, NM (United States). High Performance Computing Division. Programming and Runtime Environments
Publication Date:
Research Org.:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1312628
Report Number(s):
LA-UR-16-26609
DOE Contract Number:  
AC52-06NA25396
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; Computer Science; IOR; Lustre; Splunk; Pavilion

Citation Formats

Wiens, Isaac Christian, and Green, Jennifer Kathleen. Parallel File System I/O Performance Testing On LANL Clusters. United States: N. p., 2016. Web. doi:10.2172/1312628.
Wiens, Isaac Christian, & Green, Jennifer Kathleen. Parallel File System I/O Performance Testing On LANL Clusters. United States. doi:10.2172/1312628.
Wiens, Isaac Christian, and Green, Jennifer Kathleen. Thu . "Parallel File System I/O Performance Testing On LANL Clusters". United States. doi:10.2172/1312628. https://www.osti.gov/servlets/purl/1312628.
@article{osti_1312628,
title = {Parallel File System I/O Performance Testing On LANL Clusters},
author = {Wiens, Isaac Christian and Green, Jennifer Kathleen},
abstractNote = {These are slides from a presentation on parallel file system I/O performance testing on LANL clusters. I/O is a known bottleneck for HPC applications. Performance optimization of I/O is often required. This summer project entailed integrating IOR under Pavilion and automating the results analysis. The slides cover the following topics: scope of the work, tools utilized, IOR-Pavilion test workflow, build script, IOR parameters, how parameters are passed to IOR, *run_ior: functionality, Python IOR-Output Parser, Splunk data format, Splunk dashboard and features, and future work.},
doi = {10.2172/1312628},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2016},
month = {8}
}

Technical Report:

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