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BEGIN:VEVENT
DTSTAMP:20260522T150110Z
LOCATION:C2/3/4 Ballroom
DTSTART;TZID=America/Chicago:20181114T083000
DTEND;TZID=America/Chicago:20181114T170000
UID:submissions.supercomputing.org_SC18_sess323_post237@linklings.com
SUMMARY:Accelerating Wave-Propagation Algorithms with Adaptive Mesh Refine
 ment Using the Graphics Processing Unit (GPU)
DESCRIPTION:Xinsheng Qin, Randall LeVeque, and Michael Motley (University 
 of Washington)\n\nClawpack is a library for solving nonlinear hyperbolic p
 artial differential equations using high-resolution finite volume methods 
 based on Riemann solvers and limiters. It supports Adaptive Mesh Refinemen
 t (AMR), which is essential in solving multi-scale problems. Recently, we 
 added capabilities to accelerate the code by using the Graphics Process Un
 it (GPU). Routines that manage CPU and GPU AMR data and facilitate the exe
 cution of GPU kernels are added. Customized and CPU thread-safe memory man
 agers are designed to reduce the overhead of memory allocation and de-allo
 cation. Some small GPU kernels are merged into bigger kernels, which great
 ly reduces kernel launching overhead. A speed-up between 2 and 3 for the t
 otal running time is observed in an acoustics benchmark problem. Other Rie
 mann solvers can easily be plugged in and get accelerated. The influence o
 f some AMR parameters and challenges introduced by AMR are also discussed.
 \n\nRegistration Category: Tech Program Reg Pass, Exhibits Reg Pass\n\n
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