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Title: X: A Comprehensive Analytic Model for Parallel Machines

Abstract

To continuously comply with Moore’s Law, modern parallel machines become increasingly complex. Effectively tuning application performance for these machines therefore becomes a daunting task. Moreover, identifying performance bottlenecks at application and architecture level, as well as evaluating various optimization strategies, are becoming extremely difficult when the entanglement of numerous correlated factors is being presented. To tackle these challenges, we present a visual analytical model named “X”. It is intuitive and sufficiently flexible to track all the typical features of a parallel machine.

Authors:
; ; ; ; ;
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1322524
Report Number(s):
PNNL-SA-117063
KJ0403000
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Conference
Resource Relation:
Conference: IEEE International Parallel & Distributed Processing Symposium (IPDPS 2016), May 23-27, 2016 Chicago, Illinois, 242-252
Country of Publication:
United States
Language:
English
Subject:
Modeling and Performance Analysis

Citation Formats

Li, Ang, Song, Shuaiwen, Brugel, Eric, Kumar, Akash, Chavarría-Miranda, Daniel, and Corporaal, Henk. X: A Comprehensive Analytic Model for Parallel Machines. United States: N. p., 2016. Web. doi:10.1109/IPDPS.2016.89.
Li, Ang, Song, Shuaiwen, Brugel, Eric, Kumar, Akash, Chavarría-Miranda, Daniel, & Corporaal, Henk. X: A Comprehensive Analytic Model for Parallel Machines. United States. https://doi.org/10.1109/IPDPS.2016.89
Li, Ang, Song, Shuaiwen, Brugel, Eric, Kumar, Akash, Chavarría-Miranda, Daniel, and Corporaal, Henk. 2016. "X: A Comprehensive Analytic Model for Parallel Machines". United States. https://doi.org/10.1109/IPDPS.2016.89.
@article{osti_1322524,
title = {X: A Comprehensive Analytic Model for Parallel Machines},
author = {Li, Ang and Song, Shuaiwen and Brugel, Eric and Kumar, Akash and Chavarría-Miranda, Daniel and Corporaal, Henk},
abstractNote = {To continuously comply with Moore’s Law, modern parallel machines become increasingly complex. Effectively tuning application performance for these machines therefore becomes a daunting task. Moreover, identifying performance bottlenecks at application and architecture level, as well as evaluating various optimization strategies, are becoming extremely difficult when the entanglement of numerous correlated factors is being presented. To tackle these challenges, we present a visual analytical model named “X”. It is intuitive and sufficiently flexible to track all the typical features of a parallel machine.},
doi = {10.1109/IPDPS.2016.89},
url = {https://www.osti.gov/biblio/1322524}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon May 23 00:00:00 EDT 2016},
month = {Mon May 23 00:00:00 EDT 2016}
}

Conference:
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