Modern Accelerator Technologies for Geographic Information Science
This book explores the impact of augmenting novel architectural designs with hardware<U+0010>based application accelerators. The text covers comprehensive aspects of the applications in Geographic Information Science, remote sensing and deploying Modern Accelerator Technologies (MAT) for geosp...
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| Format: | Electronic |
| Language: | English |
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Boston, MA :
Springer US : Imprint: Springer,
2013.
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| Online Access: | https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-1-4614-8745-6 |
Table of Contents:
- Modern Accelerator Technologies for GIScience
- Introduction to GPGPU
- Intelʼ 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.