FRESCO is a repository of performance data for scientific code execution jobs submitted to Purdue University's central computing cluster called Conte during March 2015 through June 2017. Data in the repository can be used to identify failed jobs and analyze reasons for failure by studying the performance parameters during the job's execution on individual cluster nodes. The data comprises job submission and exit status data, resource usage data from each cluster node, outage of nodes, and libraries that are used by jobs executing on each node.
The actual dataset can be accessed through the following URL:
The documentation to explain the data set is available through the following URL:
NSF Grant No. CNS-1548114, CNS-1405906.
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