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.