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DTSTAMP:20230124T171523Z
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DTSTART;TZID=America/Chicago:20221117T083000
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UID:submissions.supercomputing.org_SC22_sess275_rpost140@linklings.com
SUMMARY:Improvements to Hardware-Accelerated 3D Single Particle Imaging Da
 ta Reconstruction
DESCRIPTION:Posters, Research Posters\n\nImprovements to Hardware-Accelera
 ted 3D Single Particle Imaging Data Reconstruction\n\nShah, Sweeney, Ramak
 rishnaiah\n\nFast analysis of scientific data from X-ray free electron las
 er (XFEL) experimental facilities is key for supporting real-time decision
 s that efficiently use these facilities to speed up scientific discovery. 
 Our research shows gains obtained using graphics processing units (GPUs) t
 o accelerate 3D reconstruction of Single Particle Imaging (SPI) X-ray diff
 raction data. We achieve a 4X speedup over the previous GPU implementation
 , 50% better image reconstruction resolution, and 485X speedup when calcul
 ating resolution compared to the existing implementation. We showcase tech
 niques to optimize per-node computational efficiency, increase scalability
  and improve the accuracy of SPI by using better algorithms, improving dat
 a movement and accesses, reusing data structures, and reducing memory frag
 mentation.\n\nRegistration Category: Tech Program Reg Pass, Exhibits Reg P
 ass
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