BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:America/New_York
X-LIC-LOCATION:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20210402T160550Z
LOCATION:Poster Module
DTSTART;TZID=America/New_York:20201119T083000
DTEND;TZID=America/New_York:20201119T170000
UID:submissions.supercomputing.org_SC20_sess341_spostu107@linklings.com
SUMMARY:Modeling Power Usage for the SZ Lossy Compressor on HPC Systems
DESCRIPTION:ACM Student Research Competition: Graduate Poster, ACM Student
  Research Competition: Undergraduate Poster, Posters\n\nModeling Power Usa
 ge for the SZ Lossy Compressor on HPC Systems\n\nWilkins\n\nLossy compress
 ors are becoming more prevalent due to the increasing volumes of data prod
 uced in HPC systems. Compressors are integral to computational workflows t
 o assist in data I/O: transporting smaller amounts of data is more time an
 d energy efficient. By modeling power consumption of lossy compressors, we
  work towards improving energy efficiency. In this paper, we present a cha
 racterization of the power usage of the SZ lossy compressor over several d
 atasets. We describe the piecewise energy consumption of SZ's internal pro
 cesses, while also computing the total energy consumption of the system. T
 hrough these contributions we provide a more thorough understanding of how
  HPC systems evolve power in their necessary compression stage. Overall ou
 r model enables us to lower power consumption 15% with a time tradeoff of 
 5% by scaling CPU frequency below base clock.\n\nTag: Student Program\n\nR
 egistration Category: Tech Program Reg Pass, Exhibits Reg Pass
END:VEVENT
END:VCALENDAR