dc.contributor	Esteva, Maria	en
dc.contributor	Kulasekaran, Sivakumar (Siva)	en
dc.contributor	Sweat, Sandra	en
dc.creator	McLay, Robert	en
dc.creator	Fahey, Mark	en
dc.date.accessioned	2015-09-04T15:26:58Z	en
dc.date.available	2015-09-04T15:26:58Z	en
dc.date.issued	2015	en
dc.description	To access and download xalt data and metadata, please highlight the link and paste it into your address bar: http://web.corral.tacc.utexas.edu/XALT/ . In order to accommodate the anticipated growth over time for this data set, the data is not hosted at this location. The description of the data elements, copy of the CC-BY license, catalogue metadata file, and a listing of the software libraries at time of initial publication are available for download.	en
dc.description	http://dx.doi.org/10.15781/T2PP4P	en
dc.description.abstract	The dataset is produced by the software XALT, which tracks executables and libraries installed on the High Performance Computing (HPC) resource Stampede (https://www.tacc.utexas.edu/stampede/) at the Texas Advanced Computing Center (TACC) (https://www.tacc.utexas.edu/). XALT software tracks and collects information about community codes and libraries used on MPI-based jobs on open-science HPC systems, also known as supercomputers. To conduct large scale data, analysis and simulations, researchers submit jobs to supercomputers. These resources are maintained in HPC centers such as TACC, where XALT data is used to determine the software libraries that are most often utilized by researchers, to debug software libraries, to measure job performance, and to conduct cost analysis based on metrics gathered, such as start time and job duration (See the article describing how XALT data helps making supercomputers be more efficient: http://dx.doi.org/10.1109/HUST.2014.6). Sociologists and scientific software producers have also identified possible reuses for this data such as inferring collaborations between different domain sciences based on usage of the same community libraries. Illustrations of proof of concept research done around these themes with XALT data can be seen in the file, proof _of_concept_images.pdf, available for download. The public XALT dataset, in JSON format, contains information on the number of nodes, libraries, and executables used by each user running a given computational job on Stampede (https://www.tacc.utexas.edu/stampede/) a supercomputer deployed and maintained at TACC. As part of the curation process, personal identifying information is anonymized assigning a unique user id. Also personal codes, which may include the names of users, are anonymized with a hash. Additional documentation is available to better understand the dataset and enhance its reuse. Documents include: the data dictionary describing each data element recorded in the dataset per job, a copy of the CC-BY license for the dataset, and a listing of the most common community codes identified from the data. To make the data useful to a broader audience we asked users to provide feedback about how they would like the data to be presented to them in terms of size, format, content, and availability modes. To understand their needs we used the questionnaire in the interview_protocol.pdf which can be downloaded from this repository. Since we want to continue receiving feedback from users, we posted a survey that can be completed in less than 3 minutes at the following link: https://utexas.qualtrics.com/SE/?SID=SV_cOB4pHrOiDHZoLX Information gathered from this survey will help us improve the dataset. The first XALT data generated on Stampede was issued in September of 2015. The dataset will continue to be generated and published until Stampede is decommissioned. The data may be downloaded as a quarterly zipped package containing the three files with data (one per month). Users can also download the data dictionary, the community codes dictionary, and a metadata file for the data from: http://web.corral.tacc.utexas.edu/XALT/. A paper describing the process by which we curated the data that is: Maria Esteva, Sandra Sweat, Robert McLay, Weijia Xu, Sivamar Kulaskeran (2016) Data Curation with a Focus on Reuse. Proceedings of the Joint Conference on Digital Libraries, June 19 – 23, Newark New Jersey. dc.description.other The graphs in proof _of_concept_images.pdf illustrate proof of concept analysis done with XALT data dc.description.other A survey for continued use of the data can be completed at the following link: https://utexas.qualtrics.com/SE/?SID=SV_cOB4pHrOiDHZoLX	en
dc.description.department	Texas Advanced Computing Center (TACC)	en
dc.format	json	en
dc.identifier.citation	McLay, Robert; Fahey, Mark R.; (2015): Understanding the Software Needs of High End Computer Users with XALT; Texas Advanced Computing Center. http://dx.doi.org/10.15781/T2PP4P	en
dc.identifier.doi	http://dx.doi.org/10.15781/T2PP4P	en
dc.identifier.uri	http://hdl.handle.net/2152/30535	en
dc.language.iso	eng	en
dc.publisher	Texas Advanced Computing Center	en
dc.relation.ispartof	UT Faculty/Researcher Works	en
dc.rights	Attribution 3.0 United States	en
dc.rights.restriction	Open	en
dc.rights.uri	http://creativecommons.org/licenses/by/3.0/us/	en
dc.subject	data curation	en
dc.subject	high performance computing	en
dc.subject	computer science	en
dc.title	Understanding the Software Needs of High Performance Computer Users with XALT	en
dc.type	Data set	en

Understanding the Software Needs of High Performance Computer Users with XALT

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