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BEGIN:VEVENT
DTSTAMP:20210402T160550Z
LOCATION:Poster Module
DTSTART;TZID=America/New_York:20201119T083000
DTEND;TZID=America/New_York:20201119T170000
UID:submissions.supercomputing.org_SC20_sess341_spostu108@linklings.com
SUMMARY:Reducing Data Motion of Lattice Boltzmann Simulations through Appl
 ication of Boundary Conditions on GPUs
DESCRIPTION:ACM Student Research Competition: Graduate Poster, ACM Student
  Research Competition: Undergraduate Poster, Posters\n\nReducing Data Moti
 on of Lattice Boltzmann Simulations through Application of Boundary Condit
 ions on GPUs\n\nDube\n\nLattice Boltzmann simulations are commonly used fo
 r solving many computational fluid dynamics problems. The main computation
  of many of these simulations are separated into two parts: collision and 
 streaming of the lattice Boltzmann method particle distribution function, 
 and application of boundary conditions. Most lattice Boltzmann performance
  studies on GPUs focus on the core collision and streaming kernels. In thi
 s study, we investigate how porting lattice Boltzmann Method boundary cond
 itions to GPUs influences CPU-GPU data motion and overall application perf
 ormance by porting the boundary conditions code of a lattice Boltzmann pro
 xy application to CUDA. We complete all parts of the simulation on GPUs, r
 educing the number of data transfers required and improving time-to-soluti
 on by up to 49× by reducing the amount of time spent communicating data be
 tween CPU and GPU.\n\nTag: Student Program\n\nRegistration Category: Tech 
 Program Reg Pass, Exhibits Reg Pass
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