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Title: Scalable Data Management, Analysis, and Visualization (SDAV) Institute

Abstract

The purpose of the SDAV institute is to provide tools and expertise in scientific data management, analysis, and visualization to DOE’s application scientists. Our goal is to actively work with application teams to assist them in achieving breakthrough science, and to provide technical solutions in the data management, analysis, and visualization regimes that are broadly used by the computational science community. Over the last 5 years members of our institute worked directly with application scientists and DOE leadership-class facilities to assist them by applying the best tools and technologies at our disposal. We also enhanced our tools based on input from scientists on their needs.

Authors:
ORCiD logo [1]
  1. University of California, Davis, CA (United States)
Publication Date:
Research Org.:
Univ. of California, Davis, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR). Scientific Discovery through Advanced Computing (SciDAC)
OSTI Identifier:
1498620
Report Number(s):
SC0007443-001
5307526958
DOE Contract Number:  
SC0007443
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
Data analysis; data management; visualization; simulations

Citation Formats

Ma, Kwan-Liu. Scalable Data Management, Analysis, and Visualization (SDAV) Institute. United States: N. p., 2019. Web. doi:10.2172/1498620.
Ma, Kwan-Liu. Scalable Data Management, Analysis, and Visualization (SDAV) Institute. United States. https://doi.org/10.2172/1498620
Ma, Kwan-Liu. 2019. "Scalable Data Management, Analysis, and Visualization (SDAV) Institute". United States. https://doi.org/10.2172/1498620. https://www.osti.gov/servlets/purl/1498620.
@article{osti_1498620,
title = {Scalable Data Management, Analysis, and Visualization (SDAV) Institute},
author = {Ma, Kwan-Liu},
abstractNote = {The purpose of the SDAV institute is to provide tools and expertise in scientific data management, analysis, and visualization to DOE’s application scientists. Our goal is to actively work with application teams to assist them in achieving breakthrough science, and to provide technical solutions in the data management, analysis, and visualization regimes that are broadly used by the computational science community. Over the last 5 years members of our institute worked directly with application scientists and DOE leadership-class facilities to assist them by applying the best tools and technologies at our disposal. We also enhanced our tools based on input from scientists on their needs.},
doi = {10.2172/1498620},
url = {https://www.osti.gov/biblio/1498620}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu Nov 14 00:00:00 EST 2019},
month = {Thu Nov 14 00:00:00 EST 2019}
}