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X-WR-CALDESC:Events for Michigan Institute for Computational Discovery and Engineering
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DTSTART;TZID=America/Detroit:20210910T090000
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CREATED:20210811T193025Z
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SUMMARY:Data Sharing and Archiving
DESCRIPTION:OVERVIEW\n\n\nFor growing data volumes\, how we manage data becomes more important. This session will cover the basics of managing data in a research environment such as those at ARC and nationally. Attendees of the course will be introduced to recommended tools for data sharing and transfer both on campus\, off campus\, and cloud.  They will learn how to prepare data for archive\, including special high performance versions of tar and compression allowing significant performance benefits over the standard versions of the tools.\nLastly we will cover the properties and selection process of the appropriate general purpose  storage for data that requires long term preservation and active archiving that supports the largest data volumes in a way that controls costs and ease of management.\n\nRequirements are basic command line.
URL:https://micde.umich.edu/event/data-sharing-and-archiving-3/
LOCATION:Your Desktop
CATEGORIES:Great Lakes,High Performance Computing,Workshops
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210913T090000
DTEND;TZID=America/Detroit:20210913T120000
DTSTAMP:20260606T162037
CREATED:20210810T215550Z
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UID:10000507-1631523600-1631534400@micde.umich.edu
SUMMARY:Advanced research computing on the Great Lakes Cluster
DESCRIPTION:OVERVIEW\n\n\nThis workshop will cover some more advanced topics in computing on the U-M Great Lakes Cluster. Topics to be covered include a review of common parallel programming models and basic use of Great Lakes; dependent and array scheduling; workflow scripting using bash; high-throughput computing using launcher; parallel processing in one or more of Python\, R\, and MATLAB; and profiling of parallel code using Allinea Performance Reports and Allinea MAP.
URL:https://micde.umich.edu/event/advanced-research-computing-on-the-great-lakes-cluster-7-2-2-2/
LOCATION:Your Desktop
CATEGORIES:Great Lakes,High Performance Computing,Workshops
ORGANIZER;CN="Advanced Research Computing":MAILTO:arc-contact@umich.edu
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DTSTART;TZID=America/Detroit:20210914T090000
DTEND;TZID=America/Detroit:20210914T103000
DTSTAMP:20260606T162037
CREATED:20210811T193429Z
LAST-MODIFIED:20260401T200107Z
UID:10000515-1631610000-1631615400@micde.umich.edu
SUMMARY:Data Sharing and Archiving
DESCRIPTION:OVERVIEW\n\n\nFor growing data volumes\, how we manage data becomes more important. This session will cover the basics of managing data in a research environment such as those at ARC and nationally. Attendees of the course will be introduced to recommended tools for data sharing and transfer both on campus\, off campus\, and cloud.  They will learn how to prepare data for archive\, including special high performance versions of tar and compression allowing significant performance benefits over the standard versions of the tools.\nLastly we will cover the properties and selection process of the appropriate general purpose  storage for data that requires long term preservation and active archiving that supports the largest data volumes in a way that controls costs and ease of management.\n\nRequirements are basic command line.
URL:https://micde.umich.edu/event/data-sharing-and-archiving-3-2/
LOCATION:Your Desktop
CATEGORIES:Great Lakes,High Performance Computing,Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210917T130000
DTEND;TZID=America/Detroit:20210917T160000
DTSTAMP:20260606T162037
CREATED:20210810T215924Z
LAST-MODIFIED:20210810T215924Z
UID:10000509-1631883600-1631894400@micde.umich.edu
SUMMARY:Advanced research computing on the Great Lakes Cluster
DESCRIPTION:OVERVIEW\n\n\nThis workshop will cover some more advanced topics in computing on the U-M Great Lakes Cluster. Topics to be covered include a review of common parallel programming models and basic use of Great Lakes; dependent and array scheduling; workflow scripting using bash; high-throughput computing using launcher; parallel processing in one or more of Python\, R\, and MATLAB; and profiling of parallel code using Allinea Performance Reports and Allinea MAP. \n\n  \nPlease register at https://ttc.iss.lsa.umich.edu/ttc/sessions/advanced-research-computing-on-the-great-lakes-cluster-12/register/
URL:https://micde.umich.edu/event/advanced-research-computing-on-the-great-lakes-cluster-7-2-2-2-2/
LOCATION:Your Desktop
CATEGORIES:Great Lakes,High Performance Computing,Workshops
ORGANIZER;CN="Advanced Research Computing":MAILTO:arc-contact@umich.edu
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