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DTSTART:19700308T020000
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BEGIN:VEVENT
DTSTAMP:20181221T160905Z
LOCATION:C2/3/4 Ballroom
DTSTART;TZID=America/Chicago:20181114T083000
DTEND;TZID=America/Chicago:20181114T170000
UID:submissions.supercomputing.org_SC18_sess323_post265@linklings.com
SUMMARY:GPU-Accelerated Interpolation for 3D Image Registration
DESCRIPTION:Poster\nTech Program Reg Pass, Exhibits Reg Pass\n\nGPU-Accele
 rated Interpolation for 3D Image Registration\n\nHimthani, Mang, Gholami, 
 Biros\n\nImage registration is a key technology in image computing with nu
 merous applications in medical imaging. Our overarching goal is the design
  of a consistent and unbiased computational framework for the integration 
 of medical imaging data with simulation and optimization to support clinic
 al decision making for glioma brain tumor patients. A major issue in 3D im
 age registration is the time to solution, which poses the demand for effec
 tive numerical schemes and the utilization of high performance computing r
 esources.\n\nIn this poster, we extend present a GPU-accelerated implement
 ation of the Lagrange interpolation kernel using hardware texture filterin
 g feature of modern hardware. Ongoing work involves implementing a unified
  single-GPU code for 3D image registration along with other computational 
 kernels such as FFT. I will present my work by briefly explaining image re
 gistration followed by the explanation of the interpolation algorithm and 
 its features and then demonstrate the results obtained.
URL:https://sc18.supercomputing.org/presentation/?id=post265&sess=sess323
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