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 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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Researchers should cite this work as follows:
- job submission
- Cluster Computing