Parallel File System I/O Performance Testing On LANL Clusters

Wiens, Isaac Christian¹  Green, Jennifer Kathleen¹ 

[1] Los Alamos National Lab. (LANL), Los Alamos, NM (United States). High Performance Computing Division. Programming and Runtime Environments

关键词: Computer Science;    IOR;    Lustre;    Splunk;    Pavilion;   

DOI  :  10.2172/1312628
RP-ID  :  LA-UR--16-26609
PID  :  OSTI ID: 1312628

学科分类：数学（综合）

美国|英语

来源: SciTech Connect

【 摘 要 】

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.