000 04055nam a22005295i 4500
001 978-1-4614-8745-6
003 DE-He213
005 20140220082832.0
007 cr nn 008mamaa
008 131026s2013 xxu| s |||| 0|eng d
020 _a9781461487456
_9978-1-4614-8745-6
024 7 _a10.1007/978-1-4614-8745-6
_2doi
050 4 _aQA76.76.A65
072 7 _aUNH
_2bicssc
072 7 _aUDBD
_2bicssc
072 7 _aCOM032000
_2bisacsh
082 0 4 _a005.7
_223
100 1 _aShi, Xuan.
_eeditor.
245 1 0 _aModern Accelerator Technologies for Geographic Information Science
_h[electronic resource] /
_cedited by Xuan Shi, Volodymyr Kindratenko, Chaowei Yang.
264 1 _aBoston, MA :
_bSpringer US :
_bImprint: Springer,
_c2013.
300 _aVII, 251 p. 75 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aModern 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.
520 _aThis 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.
650 0 _aComputer science.
650 0 _aRemote sensing.
650 0 _aGeographical information systems.
650 0 _aAlgorithms.
650 1 4 _aComputer Science.
650 2 4 _aInformation Systems Applications (incl. Internet).
650 2 4 _aGeotechnical Engineering & Applied Earth Sciences.
650 2 4 _aComputational Science and Engineering.
650 2 4 _aGeographical Information Systems/Cartography.
650 2 4 _aRemote Sensing/Photogrammetry.
650 2 4 _aAlgorithms.
700 1 _aKindratenko, Volodymyr.
_eeditor.
700 1 _aYang, Chaowei.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781461487449
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4614-8745-6
912 _aZDB-2-SCS
999 _c96084
_d96084