Summit Darshan Archival Dataset
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Ahmad Maroof Karimi | Oak Ridge National Laboratory
Awais Khan | Oak Ridge National Laboratory
Sarp Oral | Oak Ridge National Laboratory
Christopher Zimmer | Oak Ridge National Laboratory
Description
Summit Darshan Archival Dataset contains 2021 Summit Darshan log data for 25 applications and is grouped into science domains. The dataset is processed, and all the propriety fields are anonymized. The resultant data is converted into a tabular structure and saved in parquet file format. In this notebook, we demonstrate how to access the data. Data Organization: The data is organized into two directories: Darshan total (`darshan_total`): List all the high levels generated by the `darshan-parser --total` command on `.darshan` files. There is one parquet file for each application. Note: `uid` and `exe` field are masked Darshan detail (`darshan_detail`): This data contains detailed job level log information extracted by command `darshan-parser` on the raw `.darshan` files. The data is sorted by directory hierarchy in the order of `year/month/day (2021/12/07)`. For instance, to get the data for a `job_id` 3819766 of application `App11`, which was executed on `2021-12-07`can be accessed as follows. Note:`uid` and `filename` fields are masked
Funding Information
DOE Contract Number
DE-AC05-00OR22725Originating Research Organization
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)Sponsoring Organization
Oak Ridge Leadership Computing Facility, Oak Ridge National LaboratoryDetails
Release Date
February 15, 2024Subject
97 MATHEMATICS AND COMPUTINGKeywords
Darshan, Summit storage systemDataset
Dataset Type
ND Numeric DataSoftware
.parquet file readerCite This Dataset:
Karimi, A., Khan, A., Oral, S., Zimmer, C. (2024). Summit Darshan Archival Dataset. Oak Ridge National Laboratory. https://doi.org/10.13139/OLCF/2305496.
Acknowledgements
This research used resources of the Oak Ridge Leadership Computing Facility at the Oak Ridge National Laboratory, which is supported by the Advanced Scientific Computing Research programs in the Office of Science of the U.S. Department of Energy under Contract No. DE-AC05-00OR22725.