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DTSTAMP:20250626T233656Z
LOCATION:B301
DTSTART;TZID=America/New_York:20241120T100000
DTEND;TZID=America/New_York:20241120T170000
UID:submissions.supercomputing.org_SC24_sess554_art122@linklings.com
SUMMARY:Enhancing Brain Flow Visualization
DESCRIPTION:Ayat Mohammed, Ben Sandbrook, and Nicholas Polys (Virginia Tec
 h) and Jessica Cunningham (Fralin Biomedical Research Institute)\n\nThe vi
 sualization pipeline was developed to process the IFF data using ParaView.
  A blend between surfacic approximation and volumetric multi-scattering wa
 s used to generate the two volumes of the brain and the tumor. The particl
 es passed through the voxels of interest that were represented as spheres 
 with point Gaussian oriented by the velocity vector and colored by the pat
 h line density value.\n\nThe visualization required the use of MPI and HPC
  in order to develop the volume rendering of the image stacks. The framewo
 rk was established by using EGL ParaView in a server-client setup, using a
  Dell PowerEdge R7525 (2U) with a Dual AMD 7502 (32C/64T) CPU, 512GB RAM (
 16x32GB), one NVIDIA Ampere A40 GPU (48 GB VRAM), and about 3.2TB of local
  storage.\n\nRegistration Category: Tech Program Reg Pass, Workshop Reg Pa
 ss, Tutorial Reg Pass, Exhibits Reg Pass\n\n
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