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DTSTART;TZID=America/Chicago:20181114T083000
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UID:submissions.supercomputing.org_SC18_sess323_post264@linklings.com
SUMMARY:HIVE: A Cross-Platform, Modular Visualization Ecosystem for Hetero
 geneous Computational Environments
DESCRIPTION:Jorji Nonaka (Riken Center for Computational Science); Kenji O
 no (Kyushu University, RIKEN); Naohisa Sakamoto and Kengo Hayashi (Kobe Un
 iversity, RIKEN); Tomohiro Kawanabe and Fumiyoshi Shoji (Riken Center for 
 Computational Science); Masahiro Fujita (LTE Inc); Kentaro Oku (Kashika In
 c); and Kazuma Hatta (Imagica Digitalscape)\n\nHPC operational environment
 s usually have supporting computational systems for assisting pre- and pos
 t-processing activities such as the visualization and analysis of simulati
 on results. A wide variety of hardware systems can be found at different H
 PC sites, and in our case, we have a  CPU-only (x86) large 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 future. Therefore, heter
 ogeneity and scalability are needed to be tackled to efficiently use these
  heterogeneous computational resources for large-scale data visualization 
 on both post-hoc and in-situ contexts. In this poster we present HIVE (Het
 erogeneously Integrated Visual-analytics Environment), a cross-platform an
 d modular ecosystem for providing visualization service building blocks in
  such heterogeneous computational environments. Lightweight Lua scripting 
 language is used to glue necessary visualization pipeline related modules,
  and this loosely coupled modular approach facilitates long-term developme
 nt and maintenance.\n\nRegistration Category: Tech Program Reg Pass, Exhib
 its Reg Pass\n\n
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