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Title: Modern Accelerator Technologies for Geographic Information Science edited by Xuan Shi, Volodymyr Kindratenko, Chaowei Yang.
Main Entry: Shi, Xuan. editor.
Kindratenko, Volodymyr. editor.
Yang, Chaowei. editor.
SpringerLink (Online service)
Publisher: Springer US : Imprint: Springer,
Publication Date: 2013.
Publication Place: Boston, MA :
ISBN: 9781461487456
Subject: Computer science.
Remote sensing.
Geographical information systems.
Algorithms.
Computer science.
Information Systems Applications (incl.Internet).
Geotechnical Engineering & Applied Earth Sciences.
Computational Science and Engineering.
Geographical Information Systems/Cartography.
Remote Sensing/Photogrammetry.
Algorithms.
Contents: Modern Accelerator Technologies for GIScience -- Introduction to GPGPU -- Intel® Xeon Phi™ Coprocessors -- Accelerating Geocomputation with Cloud Computing -- Parallel Primitives based Spatial Join of Geospatial Data on GPGPUs -- Utilizing CUDA-enabled GPUs to support 5D scientific geovisualization: a case study of simulating dust storm events -- A Parallel Algorithm to Solve Near-Shortest Path Problems on Raster Graphs -- CUDA-Accelerated HD-ODETLAP: Lossy High Dimensional Gridded Data Compression -- Accelerating Agent-Based Modeling Using Graphics Processing Units -- Large-Scale Pulse Compression for Costas Signal with GPGPU -- Parallelizing ISODATA Algorithm for Unsupervised Image Classification on GPU -- Accelerating Mean Shift Segmentation Algorithm on Hybrid CPU/GPU Platforms -- Simulation and analysis of cluster-based caching replacement based on temporal and spatial locality of tile access -- A High-Concurrency Web Map Tile Service Built with Open-Source Software -- Improved Parallel Optimal Choropleth Map Classification -- Pursuing Spatiotemporally Integrated Social Science using Cyberinfrastructure -- Opportunities and Challenges for Urban Land-use Change Modeling using High-performance Computing -- Modern Accelerator Technologies for Spatially-explicit Integrated Environmental Modeling.
Related Records: Springer eBooks
Printed edition: 9781461487449
Cover Image: http://images.amazon.com/images/P/9781461487456.jpg

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