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Title: A Flexible Data Model to Support Multi-Domain Performance Analysis

Conference ·
; ; ; ; ; ;

Research Organization:
Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
Sponsoring Organization:
USDOE
DOE Contract Number:
DE-AC52-07NA27344
OSTI ID:
1178395
Report Number(s):
LLNL-CONF-664263
Resource Relation:
Conference: Presented at: 8th International Parallel Tools Workshop, Stuttgart, Germany, Oct 01 - Oct 02, 2014
Country of Publication:
United States
Language:
English

References (10)

Connecting Performance Analysis and Visualization to Advance Extreme Scale Computing report April 2014
PerfExpert: An Easy-to-Use Performance Diagnosis Tool for HPC Applications
  • Burtscher, Martin; Kim, Byoung-Do; Diamond, Jeff
  • 2010 SC - International Conference for High Performance Computing, Networking, Storage and Analysis, 2010 ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis https://doi.org/10.1109/SC.2010.41
conference November 2010
Managing application complexity in the SAMRAI object-oriented framework journal January 2002
Combing the Communication Hairball: Visualizing Parallel Execution Traces using Logical Time journal December 2014
Visualizing Network Traffic to Understand the Performance of Massively Parallel Simulations journal December 2012
HPCVIEW: A Tool for Top-down Analysis of Node Performance journal January 2002
Interpreting Performance Data across Intuitive Domains conference September 2011
Visualizing Large-scale Parallel Communication Traces Using a Particle Animation Technique journal June 2013
Scalable Identification of Load Imbalance in Parallel Executions Using Call Path Profiles
  • Tallent, Nathan R.; Adhianto, Laksono; Mellor-Crummey, John M.
  • 2010 SC - International Conference for High Performance Computing, Networking, Storage and Analysis, 2010 ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis https://doi.org/10.1109/SC.2010.47
conference November 2010
Toward Scalable Performance Visualization with Jumpshot journal August 1999

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