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DTSTART:19700308T020000
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DTSTAMP:20210402T160549Z
LOCATION:Track 2
DTSTART;TZID=America/New_York:20201117T150000
DTEND;TZID=America/New_York:20201117T163000
UID:submissions.supercomputing.org_SC20_sess147@linklings.com
SUMMARY:GPU-Accelerated Applications
DESCRIPTION:Paper\n\nMulti-Node Multi-GPU Diffeomorphic Image Registration
  for Large-Scale Imaging Problems\n\nBrunn, Himthani, Biros, Mehl, Mang\n\
 nWe present a  Gauss-Newton-Krylov solver for large deformation diffeomorp
 hic image registration. We extend the publicly available CLAIRE library to
  multi-node multi-graphics processing unit (GPU) systems and introduce nov
 el algorithmic modifications that significantly improve  performance.  Our
  cont...\n\n---------------------\nPetascale XCT: 3D Image Reconstruction 
 with Hierarchical Communications on Multi-GPU Nodes\n\nHidayetoglu, Bicer,
  Garcia de Gonzalo, Ren, De Andrade...\n\nX-ray computed tomography is a c
 ommonly used technique for noninvasive imaging at synchrotron facilities. 
 Iterative tomographic reconstruction algorithms are often preferred for re
 covering high quality 3D volumetric images from 2D X-ray images; their use
 , however, has been limited to small/medium da...\n\n---------------------
 \nSegAlign: A Scalable GPU-Based Whole Genome Aligner\n\nGoenka, Turakhia,
  Paten, Horowitz\n\nPairwise Whole Genome Alignment (WGA) is a crucial fir
 st step to understanding evolution at the DNA-sequence level. Pairwise WGA
  of thousands of currently available species genomes could help make biolo
 gical discoveries; computing them, however, for even a fraction of the mil
 lions of possible pairs ...\n\n\nTag: Accelerators, FPGA, and GPUs, Algori
 thms, Applications, Scalable Computing\n\nRegistration Category: Tech Prog
 ram Reg Pass
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