Hero Run Best Practices: Difference between revisions
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[[IOR Tests|Hero-run-IOR-tests]] | [[IOR Tests|Hero-run-IOR-tests]] | ||
[[Benchmarking Basics|Benchmarking_Basics]] |
Latest revision as of 12:01, 14 April 2015
Leads: Ben Evans, Andrew Uselton
When testing a parallel file system in a computing cluster environment, a Hero Run is an experiment that seeks to drive the bulk I/O to and from the file system at its best possible rate. The run is "heroic" in two ways: it can require a lot of work to get the test to show what you are wanting to see, and it can take a lot of I/O to show it.
The Hero Run team is tasked with:
- Explaining sound methodology
- Describing the mechanics of running a test for one or more benchmark applicaitons
- Giving guidance on what sort of information one should capture during a hero run (about servers, targets, interconnect, clients, etc.)
- Establishing an algorithm to combine Streaming read+write, Random read+write into a single number.
The Hero Run team is not tasked with:
- Creating a Top500 list
- Reporting results of particular tests
- Comparing vendors offerings, or maintaining a database of results.
Zero to Hero
What goes into a hero run? A list of terms and concepts
Single shared file performance
Tools
For testing standard POSIX-compliant filesystems, IOR will be used along with an MPI infrastructure. IOR is available Here . Client allocation in the cluster is up to the team performing the test.