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DTSTART:19700308T020000
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DTSTAMP:20181221T160905Z
LOCATION:C2/3/4 Ballroom
DTSTART;TZID=America/Chicago:20181114T083000
DTEND;TZID=America/Chicago:20181114T170000
UID:submissions.supercomputing.org_SC18_sess323_post148@linklings.com
SUMMARY:Using Thrill to Process Scientific Data on HPC
DESCRIPTION:Poster\nTech Program Reg Pass, Exhibits Reg Pass\n\nUsing Thri
 ll to Process Scientific Data on HPC\n\nKarabin, Chen, Suresh, Jimenez, Lo
 ...\n\nWith ongoing improvement of computational power and memory capacity
 , the volume of scientific data keeps growing. To gain insights from vast 
 amounts of data, scientists are starting to look at Big Data processing an
 d analytics tools such as Apache Spark. In this poster, we explore Thrill,
  a framework for big data computation on HPC clusters that provides an int
 erface similar to systems like Apache Spark but delivers higher performanc
 e since it is built on C++ and MPI. Using Thrill, we implemented several a
 nalytics operations to post-process and analyze data from plasma physics a
 nd molecular dynamics simulations. Those operations were implemented with 
 less programming effort than hand-crafted data processing programs would r
 equire and obtained preliminary results which were verified by scientists 
 at LANL.
URL:https://sc18.supercomputing.org/presentation/?id=post148&sess=sess323
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