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Exploring power-performance-quality tradeoffs for exascale combustion simulation

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TitleInfo
Title
Exploring power-performance-quality tradeoffs for exascale combustion simulation
Name (type = personal)
NamePart (type = family)
Qin
NamePart (type = given)
Yubo
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Yubo Qin
Role
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author
Name (type = personal)
NamePart (type = family)
Rodero
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Ivan
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Ivan Rodero
Affiliation
Advisory Committee
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chair
Name (type = corporate)
NamePart
Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
Name (type = corporate)
NamePart
Graduate School - New Brunswick
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school
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Text
Genre (authority = marcgt)
theses
OriginInfo
DateCreated (qualifier = exact)
2016
DateOther (qualifier = exact); (type = degree)
2016-05
CopyrightDate (encoding = w3cdtf); (qualifier = exact)
2016
Place
PlaceTerm (type = code)
xx
Language
LanguageTerm (authority = ISO639-2b); (type = code)
eng
Abstract (type = abstract)
The computational demand of high-performance computing (HPC) applications has brought major changes to the HPC system architecture. As a result, it is now possible to run simulations faster and get more accurate results. But behind this, power and energy are becoming critical concerns for HPC systems, e.g. Titan’s electric cost is about $9 million per year.  Energy efficiency has become a critical challenge for the exascale research challenges, and U.S. Department of Energy’s (DOE) gives the goal to achieve exascale performance with a power budget of 20MW. Current research efforts have studied power and performance tradeoffs, and how to balance these, e.g., using DVFS to meet power constraints, which significantly impacts performance. However, scientific applications may not tolerate degradation in performance and other tradeoffs need to be explored to meet power budgets, e.g., involving the application in making energy-performance tradeoff decisions.  In this research, we focus on studying the properties and exploring the performance and power/energy tradeoffs of Low-Mach-Number Combustion (LMC) application which is an Adaptive Mesh Refinement (AMR) algorithm. Our experimental evaluation provides an empirical evaluation of different application configurations that gives insights into the power-performance tradeoffs space for this LMC or AMR-based application workflows. The key contribution of this work is a better understanding of the running behavior of this AMR-based application and proposed a power-performance tradeoff for this application, which can be used to better schedule power budgets across HPC systems.
Subject (authority = RUETD)
Topic
Electrical and Computer Engineering
Subject (authority = ETD-LCSH)
Topic
Combustion
Subject (authority = ETD-LCSH)
Topic
High performance computing
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
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ETD
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ETD_7275
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electronic resource
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application/pdf
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text/xml
Extent
1 online resource (x, 49 p. : ill.)
Note (type = degree)
M.S.
Note (type = bibliography)
Includes bibliographical references
Note (type = statement of responsibility)
by Yubo Qin
RelatedItem (type = host)
TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
Identifier (type = local)
rucore19991600001
Location
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NjNbRU
Identifier (type = doi)
doi:10.7282/T3S184P7
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Rights

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The author owns the copyright to this work.
RightsHolder (type = personal)
Name
FamilyName
Qin
GivenName
Yubo
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2016-04-15 13:54:06
AssociatedEntity
Name
Yubo Qin
Role
Copyright holder
Affiliation
Rutgers University. Graduate School - New Brunswick
AssociatedObject
Type
License
Name
Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
Copyright
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Copyright protected
Availability
Status
Open
Reason
Permission or license
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Technical

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2016-04-15T16:47:29
DateCreated (point = end); (encoding = w3cdtf); (qualifier = exact)
2016-04-15T16:47:29
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