Parallelization in a spatially explicit individual-based ecological model—1. Spatial data interpolation

In this paper, we compare parallel implementations for spatial data interpolation on two parallel computers, MasPar MP-2 and CM-5, with the sequential implementations on a serial computer, SUN SPARCStation 20/61. Performance statistics indicate that: (1) parallel implementations can attain significa...

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Vydáno v:Computers & geosciences Ročník 23; číslo 3; s. 293 - 304
Hlavní autoři: Luh, Hang-Kwang, Abbott, Catherine A., Berry, Michael W., Comiskey, E.Jane, Dempsey, John C., Gross, Louis J.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier Ltd 01.04.1997
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ISSN:0098-3004, 1873-7803
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Abstract In this paper, we compare parallel implementations for spatial data interpolation on two parallel computers, MasPar MP-2 and CM-5, with the sequential implementations on a serial computer, SUN SPARCStation 20/61. Performance statistics indicate that: (1) parallel implementations can attain significant speed improvements over sequential implementations in a long-term simulation (above 100 time steps); (2) a data parallel algorithm using the local map method performs better than the partitioned map method on the MasPar MP-2, but there is no significant difference between them on the CM-5; and (3) for the particular problem of spatial data interpolation, the SIMD parallel computer (the MasPar MP-2 with 4096 processor elements) performs better than the MIMD parallel computer (the CM-5 with 32 parallel processing nodes).
AbstractList In this paper, we compare parallel implementations for spatial data interpolation on two parallel computers, MasPar MP-2 and CM-5, with the sequential implementations on a serial computer, SUN SPARCStation 20/61. Performance statistics indicate that: (1) parallel implementations can attain significant speed improvements over sequential implementations in a long-term simulation (above 100 time steps); (2) a data parallel algorithm using the local map method performs better than the partitioned map method on the MasPar MP-2, but there is no significant difference between them on the CM-5; and (3) for the particular problem of spatial data interpolation, the SIMD parallel computer (the MasPar MP-2 with 4096 processor elements) performs better than the MIMD parallel computer (the CM-5 with 32 parallel processing nodes).
Author Comiskey, E.Jane
Dempsey, John C.
Luh, Hang-Kwang
Berry, Michael W.
Abbott, Catherine A.
Gross, Louis J.
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crossref_primary_10_1111_j_1538_4632_1999_tb00974_x
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Cites_doi 10.1126/science.261.5123.856
10.1126/science.268.5218.1688
10.2307/1312455
10.1016/0098-3004(94)90060-4
10.1007/BF00131534
10.1093/comjnl/36.8.702
10.1109/99.326668
10.1109/TC.1972.5009071
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10.1080/02693799408902019
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Keywords Knowledge-based
MasPar MP-2
Spatial data interpolation
Ecology
Parallel computer
CM-5
Bilinear
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Snippet In this paper, we compare parallel implementations for spatial data interpolation on two parallel computers, MasPar MP-2 and CM-5, with the sequential...
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elsevier
SourceType Enrichment Source
Index Database
Publisher
StartPage 293
SubjectTerms Bilinear
CM-5
Ecology
Knowledge-based
MasPar MP-2
Parallel computer
Spatial data interpolation
Title Parallelization in a spatially explicit individual-based ecological model—1. Spatial data interpolation
URI https://dx.doi.org/10.1016/S0098-3004(96)00091-X
Volume 23
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