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DTSTART:19700308T020000
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DTSTAMP:20260422T000712Z
LOCATION:505
DTSTART;TZID=America/Denver:20231112T110300
DTEND;TZID=America/Denver:20231112T111900
UID:submissions.supercomputing.org_SC23_sess421_ws_rsdha102@linklings.com
SUMMARY:Vertical Scaling of Variational Multiscale Modeling for Fluid Dyna
 mics: Successes, Challenges, and Opportunities
DESCRIPTION:Christopher Coley (United States Air Force Academy)\n\nWe inve
 stigate the vertical scaling of a mixed-precision variational multiscale m
 ethod. In this method, the finescales are represented in reduced-precision
  floating-point format while the coarse scales are represented in double-p
 recision floating-point format. We accelerate the solve of the finescale p
 roblem by shifting the solve of the finescale problem from the central pro
 cessing unit to the graphical processing unit. We observe that this vertic
 al scaling technique successfully accelerates the solve of the finescale p
 roblem by over 900x in some instances. However, we also note the observed 
 acceleration is parameter-dependent and varies wildly based on the coarse 
 scale and finescale polynomial degrees chosen for the variational multisca
 le method. Despite the demonstrated success of the present work, this case
  study highlights existing challenges when merging vertical and horizontal
  scaling techniques and motivates opportunities for future research on the
  topic.\n\nTag: Accelerators, Edge Computing, Heterogeneous Computing\n\nR
 egistration Category: Workshop Reg Pass\n\nSession Chairs: Ali Akoglu (Uni
 versity of Arizona), Mehmet E Belviranli (Colorado School of Mines), and S
 eyong Lee (Oak Ridge National Laboratory (ORNL))\n\n
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