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Title Modern accelerator technologies for geographic information science / Xuan Shi, Volodymyr Kindratenko, Chaowei Yang, editors
Published New York : Springer, 2013

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Description 1 online resource (vii, 251 pages) : illustrations
Contents Modern Accelerator Technologies for Geographic Information Science / Xuan Shi, Volodymyr Kindratenko and Chaowei Yang -- Overview of Modern Accelerator Technologies (MAT) for Scientific Computation -- A Brief History and Introduction to GPGPU / Richard Vuduc and Jee Choi -- Intel® Xeon Phi[TM] Coprocessors / Jim Jeffers -- Accelerating Geocomputation with Cloud Computing / Qunying Huang [and others] -- MAT in GIScience Applications -- Parallel Primitives-Based Spatial Join of Geospatial Data on GPGPUs / Jianting Zhang -- Utilizing CUDA-Enabled GPUs to Support 5D Scientific Geovisualization: A Case Study of Simulating Dust Storm Events / Jing Li [and others] -- A Parallel Algorithm to Solve Near-Shortest Path Problems on Raster Graphs / F. Antonio Medrano and Richard L. Church -- CUDA-Accelerated HD-ODETLAP: Lossy High Dimensional Gridded Data Compression / W. Randolph Franklin [and others] -- Accelerating Agent-Based Modeling Using Graphics Processing Units / Wenwu Tang -- MAT in Remotely Sensed Data Processing and Analysis -- Large-Scale Pulse Compression for Costas Signal with GPGPU / Bin Zhou [and others] -- Parallelizing ISODATA Algorithm for Unsupervised Image Classification on GPU / Fei Ye and Xuan Shi -- Accelerating Mean Shift Segmentation Algorithm on Hybrid CPU/GPU Platforms / Miaoqing Huang, Liang Men and Chenggang Lai -- Multi-core Technology for Geospatial Services -- Simulation and Analysis of Cluster-Based Caching Replacement Based on Temporal and Spatial Locality of Tiles Access / Rui Li [and others] -- A High-Concurrency Web Map Tile Service Built with Open-Source Software / Huayi Wu [and others] -- Improved Parallel Optimal Choropleth Map Classification / Jason Laura and Sergio J. Rey -- Vision and Applicability of MAT for Geospatial Modeling and Spatiotemporal Data Analytics -- Pursuing Spatiotemporally Integrated Social Science Using Cyberinfrastructure / Xinyue Ye and Xuan Shi -- Opportunities and Challenges for Urban Land-Use Change Modeling Using High-Performance Computing / Qingfeng Guan and Xuan Shi -- Modern Accelerator Technologies for Spatially-Explicit Integrated Environmental Modeling / Dali Wang and Shujiang Kang
Summary This book explores the impact of augmenting novel architectural designs with hardware-based application accelerators. The text covers comprehensive aspects of the applications in Geographic Information Science, remote sensing and deploying Modern Accelerator Technologies (MAT) for geospatial simulations and spatiotemporal analytics. MAT in GIS applications, MAT in remotely sensed data processing and analysis, heterogeneous processors, many-core and highly multi-threaded processors and general purpose processors are also presented. This book includes case studies and closes with a chapter on future trends. Modern Accelerator Technologies for GIS is a reference book for practitioners and researchers working in geographical information systems and related fields. Advanced-level students in geography, computational science, computer science and engineering will also find this book useful
Bibliography Includes bibliographical references
Notes Online resource; title from PDF title page (SpringerLink, viewed October 28, 2013)
Subject Geographic information systems.
Geographic Information Systems
geographic information systems.
SCIENCE -- Earth Sciences -- Geography.
TRAVEL -- Budget.
TRAVEL -- Hikes & Walks.
TRAVEL -- Museums, Tours, Points of Interest.
TRAVEL -- Parks & Campgrounds.
Geographic information systems
Genre/Form geographic information systems.
Geographic information systems
Geographic information systems.
Systèmes d'information géographique.
Form Electronic book
Author Shi, Xuan, editor
Kindratenko, Volodymyr, editor
Yang, Chaowei, editor
ISBN 9781461487456
1461487455
1461487447
9781461487449