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Title: Havery Mudd 2014-2015 Computer Science Conduit Clinic Final Report

Abstract

Conduit, a new open-source library developed at Lawrence Livermore National Laboratories, provides a C++ application programming interface (API) to describe and access scientific data. Conduit’s primary use is for inmemory data exchange in high performance computing (HPC) applications. Our team tested and improved Conduit to make it more appealing to potential adopters in the HPC community. We extended Conduit’s capabilities by prototyping four libraries: one for parallel communication using MPI, one for I/O functionality, one for aggregating performance data, and one for data visualization.

Authors:
 [1];  [1];  [1];  [1]
  1. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Publication Date:
Research Org.:
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1184132
Report Number(s):
LLNL-SR-671139
DOE Contract Number:  
DE-AC52-07NA27344
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE

Citation Formats

Aspesi, G, Bai, J, Deese, R, and Shin, L. Havery Mudd 2014-2015 Computer Science Conduit Clinic Final Report. United States: N. p., 2015. Web. doi:10.2172/1184132.
Aspesi, G, Bai, J, Deese, R, & Shin, L. Havery Mudd 2014-2015 Computer Science Conduit Clinic Final Report. United States. doi:10.2172/1184132.
Aspesi, G, Bai, J, Deese, R, and Shin, L. Tue . "Havery Mudd 2014-2015 Computer Science Conduit Clinic Final Report". United States. doi:10.2172/1184132. https://www.osti.gov/servlets/purl/1184132.
@article{osti_1184132,
title = {Havery Mudd 2014-2015 Computer Science Conduit Clinic Final Report},
author = {Aspesi, G and Bai, J and Deese, R and Shin, L},
abstractNote = {Conduit, a new open-source library developed at Lawrence Livermore National Laboratories, provides a C++ application programming interface (API) to describe and access scientific data. Conduit’s primary use is for inmemory data exchange in high performance computing (HPC) applications. Our team tested and improved Conduit to make it more appealing to potential adopters in the HPC community. We extended Conduit’s capabilities by prototyping four libraries: one for parallel communication using MPI, one for I/O functionality, one for aggregating performance data, and one for data visualization.},
doi = {10.2172/1184132},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2015},
month = {5}
}

Technical Report:

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