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DTSTART;TZID=America/Chicago:20221117T083000
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UID:submissions.supercomputing.org_SC22_sess226_spostu103@linklings.com
SUMMARY:Quantify the Effect of Histogram Intersection in Spatio-Temporal D
 ata Sampling
DESCRIPTION:ACM Student Research Competition: Graduate Poster, ACM Student
  Research Competition: Undergraduate Poster, Posters\n\nQuantify the Effec
 t of Histogram Intersection in Spatio-Temporal Data Sampling\n\nZou\n\nThe
  computational advance in high-performance computing leads to increased da
 ta generation by applications, resulting in a bottleneck within the system
  due to I/O limitations. One solution is the Spatio-temporal sampling meth
 od, which takes advantage of both spatial and temporal data reduction meth
 ods to produce higher post-reconstruction quality. Various user input para
 meters such as the number of bins or histogram intersection limit the perf
 ormance for Spatio-temporal sampling. This poster focuses on determining t
 he effect of the histogram intersection threshold in the Spatio-temporal s
 ampling method. Results indicate that as long as a data set is not identic
 al across adjacent time-steps, reducing the histogram intersection percent
 age increases the sampling bandwidth until blocks reused become static. Th
 e ExaAM data set shows an increase of 100-130% in sampling bandwidth, with
  only about a 5% decrease in PSNR value at 60% histogram intersection or l
 ower.\n\nRegistration Category: Tech Program Reg Pass
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