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Title: Visualization and Data Analysis for High-Performance Computing

Abstract

This is a set of slides from a guest lecture for a class at the University of Texas, El Paso on visualization and data analysis for high-performance computing. The topics covered are the following: trends in high-performance computing; scientific visualization, such as OpenGL, ray tracing and volume rendering, VTK, and ParaView; data science at scale, such as in-situ visualization, image databases, distributed memory parallelism, shared memory parallelism, VTK-m, "big data", and then an analysis example.

Authors:
 [1]
  1. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Publication Date:
Research Org.:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21)
OSTI Identifier:
1329547
Report Number(s):
LA-UR-16-27388
DOE Contract Number:  
AC52-06NA25396
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; Computer Science

Citation Formats

Sewell, Christopher Meyer. Visualization and Data Analysis for High-Performance Computing. United States: N. p., 2016. Web. doi:10.2172/1329547.
Sewell, Christopher Meyer. Visualization and Data Analysis for High-Performance Computing. United States. doi:10.2172/1329547.
Sewell, Christopher Meyer. Tue . "Visualization and Data Analysis for High-Performance Computing". United States. doi:10.2172/1329547. https://www.osti.gov/servlets/purl/1329547.
@article{osti_1329547,
title = {Visualization and Data Analysis for High-Performance Computing},
author = {Sewell, Christopher Meyer},
abstractNote = {This is a set of slides from a guest lecture for a class at the University of Texas, El Paso on visualization and data analysis for high-performance computing. The topics covered are the following: trends in high-performance computing; scientific visualization, such as OpenGL, ray tracing and volume rendering, VTK, and ParaView; data science at scale, such as in-situ visualization, image databases, distributed memory parallelism, shared memory parallelism, VTK-m, "big data", and then an analysis example.},
doi = {10.2172/1329547},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2016},
month = {9}
}

Technical Report:

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