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DTSTAMP:20181221T160903Z
LOCATION:C2/3/4 Ballroom
DTSTART;TZID=America/Chicago:20181115T083000
DTEND;TZID=America/Chicago:20181115T170000
UID:submissions.supercomputing.org_SC18_sess324_post264@linklings.com
SUMMARY:HIVE: A Cross-Platform, Modular Visualization Ecosystem for Hetero
 geneous Computational Environments
DESCRIPTION:Poster\nTech Program Reg Pass, Exhibits Reg Pass\n\nHIVE: A Cr
 oss-Platform, Modular Visualization Ecosystem for Heterogeneous Computatio
 nal Environments\n\nNonaka, Ono, Sakamoto, Hayashi, Kawanabe...\n\nHPC ope
 rational environments usually have supporting computational systems for as
 sisting pre- and post-processing activities such as the visualization and 
 analysis of simulation results. A wide variety of hardware systems can be 
 found at different HPC sites, and in our case, we have a  CPU-only (x86) l
 arge memory server, a planned OpenStack-based CPU/GPU Cluster, SPARC64 fx 
 CPU based HPC system (K computer), and an ARM based HPC system in the futu
 re. Therefore, heterogeneity and scalability are needed to be tackled to e
 fficiently use these heterogeneous computational resources for large-scale
  data visualization on both post-hoc and in-situ contexts. In this poster 
 we present HIVE (Heterogeneously Integrated Visual-analytics Environment),
  a cross-platform and modular ecosystem for providing visualization servic
 e building blocks in such heterogeneous computational environments. Lightw
 eight Lua scripting language is used to glue necessary visualization pipel
 ine related modules, and this loosely coupled modular approach facilitates
  long-term development and maintenance.
URL:https://sc18.supercomputing.org/presentation/?id=post264&sess=sess324
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