2013

Modern Accelerator Technologies for Geographic Information Science

Editors:

ISBN: 978-1-4614-8744-9 (Print) 978-1-4614-8745-6 (Online)

Table of contents (18 chapters)

  1. Front Matter

    Pages i-vii

  2. Introduction

    1. Front Matter

      Pages 1-1

    2. No Access

      Book Chapter

      Pages 3-6

      Modern Accelerator Technologies for Geographic Information Science

  3. Overview of Modern Accelerator Technologies (MAT) for Scientific Computation

    1. Front Matter

      Pages 7-7

    2. No Access

      Book Chapter

      Pages 9-23

      A Brief History and Introduction to GPGPU

    3. No Access

      Book Chapter

      Pages 25-39

      Intel® Xeon Phi™ Coprocessors

    4. No Access

      Book Chapter

      Pages 41-51

      Accelerating Geocomputation with Cloud Computing

  4. MAT in GIScience Applications

    1. Front Matter

      Pages 53-53

    2. No Access

      Book Chapter

      Pages 55-67

      Parallel Primitives-Based Spatial Join of Geospatial Data on GPGPUs

    3. No Access

      Book Chapter

      Pages 69-82

      Utilizing CUDA-Enabled GPUs to Support 5D Scientific Geovisualization: A Case Study of Simulating Dust Storm Events

    4. No Access

      Book Chapter

      Pages 83-94

      A Parallel Algorithm to Solve Near-Shortest Path Problems on Raster Graphs

    5. No Access

      Book Chapter

      Pages 95-111

      CUDA-Accelerated HD-ODETLAP: Lossy High Dimensional Gridded Data Compression

    6. No Access

      Book Chapter

      Pages 113-129

      Accelerating Agent-Based Modeling Using Graphics Processing Units

  5. MAT in Remotely Sensed Data Processing and Analysis

    1. Front Matter

      Pages 131-131

    2. No Access

      Book Chapter

      Pages 133-143

      Large-Scale Pulse Compression for Costas Signal with GPGPU

    3. No Access

      Book Chapter

      Pages 145-156

      Parallelizing ISODATA Algorithm for Unsupervised Image Classification on GPU

    4. No Access

      Book Chapter

      Pages 157-166

      Accelerating Mean Shift Segmentation Algorithm on Hybrid CPU/GPU Platforms

  6. Multi-core Technology for Geospatial Services

    1. Front Matter

      Pages 167-167

    2. No Access

      Book Chapter

      Pages 169-181

      Simulation and Analysis of Cluster-Based Caching Replacement Based on Temporal and Spatial Locality of Tiles Access

    3. No Access

      Book Chapter

      Pages 183-195

      A High-Concurrency Web Map Tile Service Built with Open-Source Software

    4. No Access

      Book Chapter

      Pages 197-212

      Improved Parallel Optimal Choropleth Map Classification

  7. Vision and Applicability of MAT for Geospatial Modeling and Spatiotemporal Data Analytics

    1. Front Matter

      Pages 213-213

    2. No Access

      Book Chapter

      Pages 215-226

      Pursuing Spatiotemporally Integrated Social Science Using Cyberinfrastructure

    3. No Access

      Book Chapter

      Pages 227-236

      Opportunities and Challenges for Urban Land-Use Change Modeling Using High-Performance Computing

    4. No Access

      Book Chapter

      Pages 237-251

      Modern Accelerator Technologies for Spatially-Explicit Integrated Environmental Modeling