BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:America/Chicago
X-LIC-LOCATION:America/Chicago
BEGIN:DAYLIGHT
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
TZNAME:CDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
TZNAME:CST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20260522T150111Z
LOCATION:C2/3/4 Ballroom
DTSTART;TZID=America/Chicago:20181115T083000
DTEND;TZID=America/Chicago:20181115T170000
UID:submissions.supercomputing.org_SC18_sess327_spost122@linklings.com
SUMMARY:Accelerating Microscope Data Analysis Using Parallel Computing
DESCRIPTION:John Ravi (North Carolina State University)\n\nSingle-Molecule
  Localization Microscopy (SMLM) techniques deal with the diffraction limit
  of fluorescent microscopy by localizing single molecules with high precis
 ion by stochastically switching molecules on and off. Thousands of camera 
 frames containing subsets of blinking molecules are recorded to obtain a s
 ingle super-resolution image. Each blinking molecule in each frame is subj
 ected to localization protocols that fit the shape of the blink, assess th
 e quality of the blink and then estimate their center. The algorithm imple
 mented originally in MATLAB and compiled CUDA C, to compute a ‘Super Resol
 ution’ image took around 6 minutes to process 256x256 pixel images of a mo
 derately dense dataset. I ported the algorithm to C++ and parallelized it 
 using OpenMP to compute multiple frames in parallel.\n\nRegistration Categ
 ory: Tech Program Reg Pass, Exhibits Reg Pass\n\n
END:VEVENT
END:VCALENDAR