MARC details
| 000 -LEADER |
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| fixed length control field |
02461nam a22002417a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
ZW-GwMSU |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20221201144835.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
221201b |||||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
MSU |
| Transcribing agency |
MSU |
| Description conventions |
rda |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Wenwu , Tang |
| Relator term |
author |
| 245 10 - TITLE STATEMENT |
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| Title |
Parallel construction of large circular cartograms using graphics processing units |
| Statement of responsibility, etc. |
created by Wenwu Tang |
| 264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
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| Place of production, publication, distribution, manufacture |
Charlotte: |
| Name of producer, publisher, distributor, manufacturer |
Taylor & Francis, |
| Date of production, publication, distribution, manufacture, or copyright notice |
2013. |
| 336 ## - CONTENT TYPE |
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| Source |
rdacontent |
| Content type term |
text |
| Content type code |
txt |
| 337 ## - MEDIA TYPE |
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| Source |
rdamedia |
| Media type term |
unmediated |
| Media type code |
n |
| 338 ## - CARRIER TYPE |
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| Source |
rdacarrier |
| Carrier type term |
volume |
| Carrier type code |
nc |
| 440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE |
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| Volume/sequential designation |
Volume , number , |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc. |
Cartograms are a cartographic approach that is based on the geometric transformation of enumeration units to enhance spatial presentation of variables of interest. The automatic construction of cartograms within digital computing environments, as recognized in the literature, is impeded by the issue of computational efficiency. Parallel computing is a potential solution for tackling the computational issue of cartogram construction, and its importance is increasingly acknowledged with the wider spread and application of advanced cyberinfrastructure into geographic studies. The purpose of this article is to investigate the use of a state-of-the-art parallel computing approach, graphics processing units (GPUs), to accelerate the construction of large circular cartograms, a special form of area cartograms. GPUs, built on many-core computing architecture and thread parallelism, provide tremendous high-performance computing and even supercomputing support for general-purpose geocomputation. In this study, the construction of a circular cartogram is divided into a large number of fine-grained subtasks that can be efficiently and simultaneously computed on the underlying many-core GPUs. Simulated and real data were used in experiments to examine the computational performance of GPU-enabled construction of circular cartograms. Experimental results suggest that the GPU-enabled parallel computing approach offers significant acceleration performance for the construction of large circular cartograms, and thus sheds further light on the resolution of computationally intensive spatial and spatiotemporal problems using advanced cartographic and geovisualization approaches.<br/><br/><br/> |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
circular cartograms |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
parallel computing |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
graphics processing units |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
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| Uniform Resource Identifier |
https://doi.org/10.1080/13658816.2013.778413 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
Journal Article |