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BEGIN:VEVENT
DTSTAMP:20181221T160904Z
LOCATION:C2/3/4 Ballroom
DTSTART;TZID=America/Chicago:20181113T083000
DTEND;TZID=America/Chicago:20181113T170000
UID:submissions.supercomputing.org_SC18_sess325_spost101@linklings.com
SUMMARY:Accelerating DNA Long Read Mapping with Emerging Technologies
DESCRIPTION:ACM Student Research Competition, Poster\nTech Program Reg Pas
 s, Exhibits Reg Pass\n\nAccelerating DNA Long Read Mapping with Emerging T
 echnologies\n\nKaplan\n\nDNA sequencing technologies output only short fra
 gments of a genome, called reads. New single-molecule real-time sequencing
  technologies can produce long reads, up to 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 computationally expensive bioinfo
 rmatics task, read mapping, is required. Read mapping finds the best-fitti
 ng location for each DNA read on a long reference sequence.  The length an
 d error rate of long reads poses a challenge for existing read mapping har
 dware 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 Accelerator that exploits charge 
 distribution and parallel in-memory processing to reflect a mismatch count
  between DNA sequences. RASSA implementation of long read DNA mapping outp
 erforms state-of-the-art long read mapping solution by 16-77x with compara
 ble accuracy.
URL:https://sc18.supercomputing.org/presentation/?id=spost101&sess=sess325
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