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DTSTAMP:20191206T142453Z
LOCATION:Substanz 1\, 2
DTSTART;TZID=Europe/Stockholm:20180626T083000
DTEND;TZID=Europe/Stockholm:20180626T100000
UID:isc_hpc_ISC High Performance 2018_sess113_post110@linklings.com
SUMMARY:(RP07) GPU-accelerated Simulation of Elastic Wave Propagation
DESCRIPTION:Research Poster\n\n(RP07) GPU-accelerated Simulation of Elasti
 c Wave Propagation\n\nKadlubiak, Jaroš, Treeby\n\nModeling of ultrasound w
 aves propagation in hard biological materials such as bones and the skull 
 has a rapidly growing area of applications, e.g., brain cancer treatment p
 lanning, deep brain neurostimulation and neuromodulation, and opening bloo
 d-brain barriers. Recently, we have developed a novel numerical model of e
 lastic wave propagation based on the Kelvin-Voigt model accounting for lin
 ear elastic wave proration in heterogeneous absorption media. Although the
  model offers unprecedented fidelity, its computational requirements have 
 been prohibitive for realistic simulations. This paper presents an optimiz
 ed version of the simulation model accelerated by the Nvidia CUDA language
  and deployed on the best GPUs including the Nvidia P100 accelerators in t
 he Piz Daint supercomputer. The native CUDA code reaches a speed-up of 5.4
  when compared to the Matlab prototype accelerated by the Parallel Computi
 ng Toolbox running on the same GPU. Such reduction in computation time and
  exclusion of Matlab from the critical path, enables to compute complex tr
 eatment plans in terms of hours.\n\nPasses: Conference Pass, HPC Accelerat
 ors, Parallel Applications, Performance Analysis and Optimization, Persona
 lized Medicine\n\nTag: Conference Pass, HPC Accelerators, Parallel Applica
 tions, Performance Analysis and Optimization, Personalized Medicine
URL:https://2018.isc-program.com/presentation/?id=post110&sess=sess113
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