Parallelization of a level set method for simulating dendritic growth

Kai Wang; Anthony Chang; Laxmikant V. Kale; Jonathan A. Dantzig

doi:10.1016/j.jpdc.2006.02.005

Parallelization of a level set method for simulating dendritic growth

Kai Wang, Anthony Chang, Laxmikant V. Kale, Jonathan A. Dantzig

Computer Science

Research output: Contribution to journal › Article › peer-review

Abstract

Processor virtualization is a parallelization technique that may be used to enhance the performance of parallel applications through the improvement of cache performance, overlapping of communication and computation. In this study, we use the processor virtualization technique to parallelize the level set method for solving solidification problems. Numerical results on a distributed memory machine are reported to show the performance of the resulting level set solver, and demonstrate the advantages of using processor virtualization.

Original language	English (US)
Pages (from-to)	1379-1386
Number of pages	8
Journal	Journal of Parallel and Distributed Computing
Volume	66
Issue number	11
DOIs	https://doi.org/10.1016/j.jpdc.2006.02.005
State	Published - Nov 2006

Keywords

AMPI
Level set methods
MPI
Processor virtualization
Solidification

ASJC Scopus subject areas

Software
Theoretical Computer Science
Hardware and Architecture
Computer Networks and Communications
Artificial Intelligence

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10.1016/j.jpdc.2006.02.005

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title = "Parallelization of a level set method for simulating dendritic growth",

abstract = "Processor virtualization is a parallelization technique that may be used to enhance the performance of parallel applications through the improvement of cache performance, overlapping of communication and computation. In this study, we use the processor virtualization technique to parallelize the level set method for solving solidification problems. Numerical results on a distributed memory machine are reported to show the performance of the resulting level set solver, and demonstrate the advantages of using processor virtualization.",

keywords = "AMPI, Level set methods, MPI, Processor virtualization, Solidification",

author = "Kai Wang and Anthony Chang and Kale, {Laxmikant V.} and Dantzig, {Jonathan A.}",

year = "2006",

month = nov,

doi = "10.1016/j.jpdc.2006.02.005",

language = "English (US)",

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AU - Wang, Kai

AU - Chang, Anthony

AU - Kale, Laxmikant V.

AU - Dantzig, Jonathan A.

PY - 2006/11

Y1 - 2006/11

N2 - Processor virtualization is a parallelization technique that may be used to enhance the performance of parallel applications through the improvement of cache performance, overlapping of communication and computation. In this study, we use the processor virtualization technique to parallelize the level set method for solving solidification problems. Numerical results on a distributed memory machine are reported to show the performance of the resulting level set solver, and demonstrate the advantages of using processor virtualization.

AB - Processor virtualization is a parallelization technique that may be used to enhance the performance of parallel applications through the improvement of cache performance, overlapping of communication and computation. In this study, we use the processor virtualization technique to parallelize the level set method for solving solidification problems. Numerical results on a distributed memory machine are reported to show the performance of the resulting level set solver, and demonstrate the advantages of using processor virtualization.

KW - AMPI

KW - Level set methods

KW - MPI

KW - Processor virtualization

KW - Solidification

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JO - Journal of Parallel and Distributed Computing

JF - Journal of Parallel and Distributed Computing

SN - 0743-7315

IS - 11

ER -

Parallelization of a level set method for simulating dendritic growth

Abstract

Keywords

ASJC Scopus subject areas

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