Introduction to Supercomputing for Social Scientists at IU

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dc.contributor.authorKavalerchik, Anne
dc.date.accessioned2021-11-12T19:08:03Z
dc.date.available2021-11-12T19:08:03Z
dc.date.issued2021-11-12
dc.descriptionAnne Kavalerchik is a Ph.D student in the departments of sociology and informatics at Indiana University and a member of the National Science Foundation’s Complex Networks and Systems program. Her research uses an interdisciplinary approach to understand technology, social change, and inequality. She is particularly interested in the social processes and consequences behind quantification, automation, and prediction, and the ethical concerns of “data-fication” and algorithmic governance.
dc.description.abstractThis workshop will be an introduction to using the high-performance computing (HPC) resources at IU. It will introduce the command line and cover how to use the command line to access an HPC cluster, transfer files, load required software, and submit a job with SLURM. In addition, it will also cover other advantages and uses of IU’s HPC resources for social science research purposes. The workshop assumes that participants have some familiarity with creating and running programs in languages such as R or Python and are interested in writing programs to use on HPC clusters. As this will be an interactive workshop, participants are asked to make sure they (1) have an account on Carbonate, one of IU’s HPC clusters, and (2) that they can open and run a terminal instance on their machines.
dc.identifier.urihttps://hdl.handle.net/2022/26946
dc.language.isoen
dc.publisherIndiana University Workshop in Methods
dc.relation.urihttps://purl.dlib.indiana.edu/iudl/media/910j82rs9t
dc.titleIntroduction to Supercomputing for Social Scientists at IU
dc.typePresentation

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