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SUMMARY:Processing longitudinal population data using CHPC
DTSTART;VALUE=DATE-TIME:20211201T131500Z
DTEND;VALUE=DATE-TIME:20211201T134500Z
DTSTAMP;VALUE=DATE-TIME:20260711T082840Z
UID:indico-contribution-1524@events.chpc.ac.za
DESCRIPTION:Speakers: Kobus Herbst (SAPRIN)\nThe South African Population 
 Research Infrastructure Network (SAPRIN) curates longitudinal population d
 ata collected by four nodes from a total population of more than 400 000 i
 ndividuals. Due to the dynamic nature of these study populations data repr
 esenting episodes of individual surveillance needs to be combined in a way
  that maintains data integrity and takes into account variations between d
 ata collection sites.\n\nWe need to deconstruct 4\,5 million person years 
 of observation into a day level dataset\, requiring the kind of processing
  and storage capacity provided by a high performance computing environment
  such as CHPC. \n\nWe will describe a data processing pipeline\, originall
 y developed in Pentaho and recently converted to the julia programming lan
 guage which scales well on the CHPC environment.\n\nhttps://events.chpc.ac
 .za/event/98/contributions/1524/
LOCATION:
URL:https://events.chpc.ac.za/event/98/contributions/1524/
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