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Vertical Scaling of Variational Multiscale Modeling for Fluid Dynamics: Successes, Challenges, and Opportunities
DescriptionWe investigate the vertical scaling of a mixed-precision variational multiscale method. In this method, the finescales are represented in reduced-precision floating-point format while the coarse scales are represented in double-precision floating-point format. We accelerate the solve of the finescale problem by shifting the solve of the finescale problem from the central processing unit to the graphical processing unit. We observe that this vertical scaling technique successfully accelerates the solve of the finescale problem 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 multiscale 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.
Event Type
Workshop
TimeSunday, 12 November 202311:03am - 11:19am MST
Location505
Accelerators
Edge Computing
Heterogeneous Computing
W