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:20181221T160906Z
LOCATION:C145
DTSTART;TZID=America/Chicago:20181114T150000
DTEND;TZID=America/Chicago:20181114T170000
UID:submissions.supercomputing.org_SC18_sess468_spost101@linklings.com
SUMMARY:Accelerating DNA Long Read Mapping with Emerging Technologies
DESCRIPTION:ACM Student Research Competition, Poster\nStudent Program, Tec
 h Program Reg Pass, ACM Student Research Competition\n\nAccelerating DNA L
 ong Read Mapping with Emerging Technologies\n\nKaplan\n\nDNA sequencing te
 chnologies output only short fragments of a genome, called reads. New sing
 le-molecule real-time sequencing technologies can produce long reads, up t
 o tens of thousands base pairs, within minutes. However, these long reads 
 may contain up to 15% errors.\n\nTo construct a genome from DNA reads, a c
 omputationally expensive bioinformatics task, read mapping, is required. R
 ead mapping finds the best-fitting location for each DNA read on a long re
 ference sequence.  The length and error rate of long reads poses a challen
 ge for existing read mapping hardware solutions, designed for short reads 
 with low error rates. This work presents a novel DNA read mapping hardware
  architecture, RASSA. RASSA is a Resistive Approximate Similarity Search A
 ccelerator that exploits charge distribution and parallel in-memory proces
 sing to reflect a mismatch count between DNA sequences. RASSA implementati
 on of long read DNA mapping outperforms state-of-the-art long read mapping
  solution by 16-77x with comparable accuracy.
URL:https://sc18.supercomputing.org/presentation/?id=spost101&sess=sess468
END:VEVENT
END:VCALENDAR