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SUMMARY:Stitch-IO for Additive Manufacturing Simulation
DTSTART;VALUE=DATE-TIME:20201202T123000Z
DTEND;VALUE=DATE-TIME:20201202T130000Z
DTSTAMP;VALUE=DATE-TIME:20260814T000509Z
UID:indico-contribution-1312@events.chpc.ac.za
DESCRIPTION:Speakers: Jay Lofstead (Sandia National Laboratories)\nSimulat
 ing Additive Manufacturing (AM) has been difficult because simulation doma
 ins can be extremely large and the computational load is minimal. With the
  way that AM works\, only a small part of the simulation domain is require
 d at any time. Stitch-IO offers a way to decompose AM simulations into a s
 eries of short runs over short time and space scales and then enables stit
 ching together the output into a lossless\, coherent form. The data storag
 e requirement drops dramatically while requiring as little as a laptop and
  runs the whole simulation in the same wall clock time as if it were on a 
 large supercomputer with the whole simulation domain in RAM. With native P
 ython and C APIs\, Stitch-IO offers flexible analysis interfaces as well.\
 n\nhttps://events.chpc.ac.za/event/84/contributions/1312/
LOCATION:
URL:https://events.chpc.ac.za/event/84/contributions/1312/
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