skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Visualizing Macro-Dataflow Graph Final Report CRADA No. TSB-0725-93

Abstract

The goal of this collaborative effort was to develop a data-flow graphics tool (DFG) to visualize the execution of macro-dataflow graphs. LSI incorporated DFG into their graphic user interface to support parallel code development_ and text handling for natural language applications. The CRADA applied LLNL' s expertise in high-performance parallel programming systems based on the dataflow paradigm.

Authors:
 [1];  [2]
  1. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
  2. Language Systems, Inc., Woodland Hills, CA (United States)
Publication Date:
Research Org.:
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1426077
Report Number(s):
LLNL-TR-746787
DOE Contract Number:  
AC52-07NA27344
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING

Citation Formats

Feo, J., and Montgomery, C. Visualizing Macro-Dataflow Graph Final Report CRADA No. TSB-0725-93. United States: N. p., 2018. Web. doi:10.2172/1426077.
Feo, J., & Montgomery, C. Visualizing Macro-Dataflow Graph Final Report CRADA No. TSB-0725-93. United States. doi:10.2172/1426077.
Feo, J., and Montgomery, C. Thu . "Visualizing Macro-Dataflow Graph Final Report CRADA No. TSB-0725-93". United States. doi:10.2172/1426077. https://www.osti.gov/servlets/purl/1426077.
@article{osti_1426077,
title = {Visualizing Macro-Dataflow Graph Final Report CRADA No. TSB-0725-93},
author = {Feo, J. and Montgomery, C.},
abstractNote = {The goal of this collaborative effort was to develop a data-flow graphics tool (DFG) to visualize the execution of macro-dataflow graphs. LSI incorporated DFG into their graphic user interface to support parallel code development_ and text handling for natural language applications. The CRADA applied LLNL' s expertise in high-performance parallel programming systems based on the dataflow paradigm.},
doi = {10.2172/1426077},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {2}
}

Technical Report:

Save / Share: