Dataset Open Access

Profiling of RT-PICLS Code

Kelling, Jeffrey; Juckeland, Guido

It was observed, that the RT-PICLS code ran by FWKT on the hypnos cluster was producing an unusual amount of system load, according to Ganglia metrics. Since this may point to an IO-problem in the code, this code was analyzed more closely.

RT-PICLS was run with additionally provided input data on 64 CPU cores (AMD Opteron) in a single node of the hypnos cluster. Score-P 4.0 with IO-tracing support was used for profiling and tracing of the application. A developer version of Vampir 9.2 [3] enabled graphical analysis of the traces.

Different file systems were evaluated for storing the output:

  • bigdata: the high-performance file system of the cluster based on GPFS.
  • nfs: a loop-mounted EXT4 image mounted to the current compute node via NFS.
  • scr: the local scratch file-system of the compute node.
  • tmpfs: a virtual filesystem, physically located in the main memory of the compute node.

The trace files that were used to compile the referenced report are collected in this upload.

Files (7.4 GB)
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tracefile_rtpicls.zip
md5:32d7d9ba6f385200bd7ed10104e79322
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