Using performance analysis to identify candidate operations for GIS software parallelization

This paper examines the potential impact of parallel computing on the computational performance of GIS. Performance analyses on existing GIS operations, vector topology creation and interpolation, in commercial GIS products in a serial environment are used to work out the critical computational fact...

Full description

Saved in:
Bibliographic Details
Published in:Transactions in GIS 1997-12, Vol.2 (4), p.347-360
Main Authors: SLOAN, TERENCE M, GITTINGS, BRUCE M, HEALEY, RICHARD G
Format: Article
Language:English
Subjects:
Computation
Geographic information systems
Interpolation
Mathematical analysis
Parallel processing
Satellite navigation systems
Serials
Tasks
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites cdi_FETCH-LOGICAL-c2452-3d6001d7e2807e32db4b7322f7f086dc4139ebd1bb070de8533a285eb6b216bb3
container_end_page 360
container_issue 4
container_start_page 347
container_title Transactions in GIS
container_volume 2
creator SLOAN, TERENCE M
GITTINGS, BRUCE M
HEALEY, RICHARD G
description This paper examines the potential impact of parallel computing on the computational performance of GIS. Performance analyses on existing GIS operations, vector topology creation and interpolation, in commercial GIS products in a serial environment are used to work out the critical computational factors that determine elapsed time performance. Analyses reveal that the extraction of all data necessary to perform a GIS operation at a particular geographical locality dominates the I/O and CPU resource usage. For GIS to benefit from parallel computing, the performance of this task must be addressed.
doi_str_mv 10.1111/j.1467-9671.1997.tb00062.x
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1266712530</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1266712530</sourcerecordid><originalsourceid>FETCH-LOGICAL-c2452-3d6001d7e2807e32db4b7322f7f086dc4139ebd1bb070de8533a285eb6b216bb3</originalsourceid><addsrcrecordid>eNqVkF1LwzAUhosoOKf_IXjlTWs-2qT1QtChczAUdEMQISTNqWR27Uw6tvnrzZzs3nNzDpznfS-eKDonOCFhLmcJSbmICy5IQopCJJ3GGHOarA-i3v51GG7GSUx4To-jE-9nAUrTQvSi96m3zQdagKtaN1dNCUg1qt5461HXImug6Wy1QaVqjDWqA9QGVnW2bTwKETQcvSDfVt1KOUAL5VRdQ22_f4nT6KhStYezv92Ppvd3k8FDPH4ajgY347ikaUZjZjjGxAigORbAqNGpFozSSlQ456ZMCStAG6I1FthAnjGmaJ6B5poSrjXrRxe73oVrv5bgOzm3voS6Vg20Sy8J5cECzRgO6NUOLV3rvYNKLpydK7eRBMutUjmTW29y601ulco_pXIdwte78MrWsPlHUk6CJk5DQbwrsL6D9b5AuU_JBROZfH0cylzcTtgbxvKZ_QBMd47j</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1266712530</pqid></control><display><type>article</type><title>Using performance analysis to identify candidate operations for GIS software parallelization</title><source>Wiley-Blackwell Read &amp; Publish Collection</source><creator>SLOAN, TERENCE M ; GITTINGS, BRUCE M ; HEALEY, RICHARD G</creator><creatorcontrib>SLOAN, TERENCE M ; GITTINGS, BRUCE M ; HEALEY, RICHARD G</creatorcontrib><description>This paper examines the potential impact of parallel computing on the computational performance of GIS. Performance analyses on existing GIS operations, vector topology creation and interpolation, in commercial GIS products in a serial environment are used to work out the critical computational factors that determine elapsed time performance. Analyses reveal that the extraction of all data necessary to perform a GIS operation at a particular geographical locality dominates the I/O and CPU resource usage. For GIS to benefit from parallel computing, the performance of this task must be addressed.</description><identifier>ISSN: 1361-1682</identifier><identifier>EISSN: 1467-9671</identifier><identifier>DOI: 10.1111/j.1467-9671.1997.tb00062.x</identifier><language>eng</language><publisher>Oxford, UK: Blackwell Publishing Ltd</publisher><subject>Computation ; Geographic information systems ; Interpolation ; Mathematical analysis ; Parallel processing ; Satellite navigation systems ; Serials ; Tasks</subject><ispartof>Transactions in GIS, 1997-12, Vol.2 (4), p.347-360</ispartof><rights>1997 Pearson Professional Limited</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c2452-3d6001d7e2807e32db4b7322f7f086dc4139ebd1bb070de8533a285eb6b216bb3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27923,27924</link.rule.ids></links><search><creatorcontrib>SLOAN, TERENCE M</creatorcontrib><creatorcontrib>GITTINGS, BRUCE M</creatorcontrib><creatorcontrib>HEALEY, RICHARD G</creatorcontrib><title>Using performance analysis to identify candidate operations for GIS software parallelization</title><title>Transactions in GIS</title><description>This paper examines the potential impact of parallel computing on the computational performance of GIS. Performance analyses on existing GIS operations, vector topology creation and interpolation, in commercial GIS products in a serial environment are used to work out the critical computational factors that determine elapsed time performance. Analyses reveal that the extraction of all data necessary to perform a GIS operation at a particular geographical locality dominates the I/O and CPU resource usage. For GIS to benefit from parallel computing, the performance of this task must be addressed.</description><subject>Computation</subject><subject>Geographic information systems</subject><subject>Interpolation</subject><subject>Mathematical analysis</subject><subject>Parallel processing</subject><subject>Satellite navigation systems</subject><subject>Serials</subject><subject>Tasks</subject><issn>1361-1682</issn><issn>1467-9671</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1997</creationdate><recordtype>article</recordtype><recordid>eNqVkF1LwzAUhosoOKf_IXjlTWs-2qT1QtChczAUdEMQISTNqWR27Uw6tvnrzZzs3nNzDpznfS-eKDonOCFhLmcJSbmICy5IQopCJJ3GGHOarA-i3v51GG7GSUx4To-jE-9nAUrTQvSi96m3zQdagKtaN1dNCUg1qt5461HXImug6Wy1QaVqjDWqA9QGVnW2bTwKETQcvSDfVt1KOUAL5VRdQ22_f4nT6KhStYezv92Ppvd3k8FDPH4ajgY347ikaUZjZjjGxAigORbAqNGpFozSSlQ456ZMCStAG6I1FthAnjGmaJ6B5poSrjXrRxe73oVrv5bgOzm3voS6Vg20Sy8J5cECzRgO6NUOLV3rvYNKLpydK7eRBMutUjmTW29y601ulco_pXIdwte78MrWsPlHUk6CJk5DQbwrsL6D9b5AuU_JBROZfH0cylzcTtgbxvKZ_QBMd47j</recordid><startdate>199712</startdate><enddate>199712</enddate><creator>SLOAN, TERENCE M</creator><creator>GITTINGS, BRUCE M</creator><creator>HEALEY, RICHARD G</creator><general>Blackwell Publishing Ltd</general><scope>BSCLL</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>FR3</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>199712</creationdate><title>Using performance analysis to identify candidate operations for GIS software parallelization</title><author>SLOAN, TERENCE M ; GITTINGS, BRUCE M ; HEALEY, RICHARD G</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2452-3d6001d7e2807e32db4b7322f7f086dc4139ebd1bb070de8533a285eb6b216bb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1997</creationdate><topic>Computation</topic><topic>Geographic information systems</topic><topic>Interpolation</topic><topic>Mathematical analysis</topic><topic>Parallel processing</topic><topic>Satellite navigation systems</topic><topic>Serials</topic><topic>Tasks</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>SLOAN, TERENCE M</creatorcontrib><creatorcontrib>GITTINGS, BRUCE M</creatorcontrib><creatorcontrib>HEALEY, RICHARD G</creatorcontrib><collection>Istex</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Transactions in GIS</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>SLOAN, TERENCE M</au><au>GITTINGS, BRUCE M</au><au>HEALEY, RICHARD G</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Using performance analysis to identify candidate operations for GIS software parallelization</atitle><jtitle>Transactions in GIS</jtitle><date>1997-12</date><risdate>1997</risdate><volume>2</volume><issue>4</issue><spage>347</spage><epage>360</epage><pages>347-360</pages><issn>1361-1682</issn><eissn>1467-9671</eissn><abstract>This paper examines the potential impact of parallel computing on the computational performance of GIS. Performance analyses on existing GIS operations, vector topology creation and interpolation, in commercial GIS products in a serial environment are used to work out the critical computational factors that determine elapsed time performance. Analyses reveal that the extraction of all data necessary to perform a GIS operation at a particular geographical locality dominates the I/O and CPU resource usage. For GIS to benefit from parallel computing, the performance of this task must be addressed.</abstract><cop>Oxford, UK</cop><pub>Blackwell Publishing Ltd</pub><doi>10.1111/j.1467-9671.1997.tb00062.x</doi><tpages>14</tpages></addata></record>
fulltext fulltext
identifier ISSN: 1361-1682
ispartof Transactions in GIS, 1997-12, Vol.2 (4), p.347-360
issn 1361-1682
1467-9671
language eng
recordid cdi_proquest_miscellaneous_1266712530
source Wiley-Blackwell Read & Publish Collection
subjects Computation
Geographic information systems
Interpolation
Mathematical analysis
Parallel processing
Satellite navigation systems
Serials
Tasks
title Using performance analysis to identify candidate operations for GIS software parallelization
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-12T15%3A33%3A18IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Using%20performance%20analysis%20to%20identify%20candidate%20operations%20for%20GIS%20software%20parallelization&rft.jtitle=Transactions%20in%20GIS&rft.au=SLOAN,%20TERENCE%20M&rft.date=1997-12&rft.volume=2&rft.issue=4&rft.spage=347&rft.epage=360&rft.pages=347-360&rft.issn=1361-1682&rft.eissn=1467-9671&rft_id=info:doi/10.1111/j.1467-9671.1997.tb00062.x&rft_dat=%3Cproquest_cross%3E1266712530%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c2452-3d6001d7e2807e32db4b7322f7f086dc4139ebd1bb070de8533a285eb6b216bb3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1266712530&rft_id=info:pmid/&rfr_iscdi=true