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DTSTAMP:20260522T150110Z
LOCATION:C2/3/4 Ballroom
DTSTART;TZID=America/Chicago:20181114T083000
DTEND;TZID=America/Chicago:20181114T170000
UID:submissions.supercomputing.org_SC18_sess323_post255@linklings.com
SUMMARY:Optimization of Ultrasound Simulations on Multi-GPU Servers
DESCRIPTION:Filip Vaverka and Matej Spetko (Brno University of Technology,
  Faculty of Information Technology); Bradley E. Treeby (University College
  London, Biomedical Ultrasound Group); and Jiri Jaros (Brno University of 
 Technology, Faculty of Information Technology)\n\nRealistic ultrasound sim
 ulations have found a broad area of applications in preoperative photoacou
 stic screening and non-invasive ultrasound treatment planing. However, the
  domains are typically thousands of wavelengths in size, leading to large-
 scale numerical models with billions of unknowns. The current trend in acc
 elerated computing is towards the use of fat nodes with multiple GPUs per 
 node. The multi-GPU version of our k-Wave acoustic toolbox is based on the
  local Fourier basis domain decomposition where 3D simulation domain is pa
 rtitioned into rectangular cuboid blocks assigned to particular GPUs. This
  paper investigates the benefits of using the CUDA-Aware MPI and CUDA peer
 -to-peer transfers on an 8-GPU server equipped with Nvidia P40 GPUs. The s
 erver has a total GPU memory of 192 GB and a  single-precision performance
  of 96 Tflops. These techniques reduces the overall simulation time a fact
 or of 2-3.6.\n\nRegistration Category: Tech Program Reg Pass, Exhibits Reg
  Pass\n\n
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