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DTSTAMP:20181221T160728Z
LOCATION:D222
DTSTART;TZID=America/Chicago:20181112T144000
DTEND;TZID=America/Chicago:20181112T145000
UID:submissions.supercomputing.org_SC18_sess166_ws_bphpcte105@linklings.co
 m
SUMMARY:Programmable Education Infrastructure: Cloud Resources as HPC Educ
 ation Environments
DESCRIPTION:Workshop\nEducation, Scientific Computing, Training, Workshop 
 Reg Pass, Lightning Talks and Demos\n\nProgrammable Education Infrastructu
 re: Cloud Resources as HPC Education Environments\n\nCoulter, Knepper, Fis
 cher\n\nCloud computing is a growing area for educating students and perfo
 rming meaningful scientific research. The challenge for many educators and
  researchers is knowing how to use some of the unique aspects of computing
  in the cloud. One key feature is elastic computing - resources on demand.
  The elasticity and programmability of cloud resources make them an excell
 ent tool for educators who require access to a wide range of computing env
 ironments. In the field of HPC education, such environments are an absolut
 e necessity, and getting access to them can create a large burden on educa
 tors above and beyond designing content.\n\nWhile cloud resources won't re
 place traditional HPC environments for large research projects, they are a
 n excellent option for providing both user and administrator education on 
 HPC environments. The highly configurable nature of cloud environments all
 ows educators to tailor the educational resource to the needs of their att
 endees, and provide a range of hands-on experiences. In this demo, we'll s
 how how the Jetstream cloud environment can be used to provide training fo
 r both new HPC administrators and users, by showing a ground-up build of a
  simple HPC system. While this approach uses the Jetstream cloud, it is ge
 neralizable across any cloud provider. We will show how this allows an edu
 cator to tackle everything from basic command-line concepts and scheduler 
 use to advanced cluster-management concepts such as elasticity and managem
 ent of scientific software. We will also discuss lessons learned from prov
 iding this content as a tutorial at several CI conferences.
URL:https://sc18.supercomputing.org/presentation/?id=ws_bphpcte105&sess=se
 ss166
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