Papers

  • Parallel cartographic modeling: a methodology for parallelizing spatial data processing
  • Pattern-driven parallel I/O tuning
  • Techniques for modeling large-scale HPC I/O workloads
  • Dynamic model-driven parallel I/O performance tuning
  • Design of a multithreaded Barnes-Hut algorithm for multicore clusters
  • Automatic generation of I/O kernels for HPC applications
  • Improving parallel I/O autotuning with performance modeling
  • Taming parallel I/O complexity with auto-tuning
  • A multi-level approach for understanding I/O activity in HPC applications
  • pRasterBlaster: High-performance small-scale raster map projection transformation using the Extreme Science and Engineering Discovery Environment
  • A performance profiling strategy for high-performance map re-projection of coarse-scale spatial raster data
  • Optimizing the Barnes-Hut algorithm in UPC
  • Integrating CyberGIS gateway with Windows Azure: a case study on MODFLOW groundwater simulation