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ct [2015/09/16 14:29]
yanliu
ct [2015/09/16 14:36] (current)
yanliu
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   * [[ct/pgap|PGAP]]   * [[ct/pgap|PGAP]]
   * [[ct/pabm|Parallel Agent-Based Modeling]]   * [[ct/pabm|Parallel Agent-Based Modeling]]
-  * [[ct/sptw|Simple Parallel Tiff Writer]] 
   * [[ct/gkde|Parallel Kernel Density Estimation]]   * [[ct/gkde|Parallel Kernel Density Estimation]]
   * [[ct/mapalgebra|Parallel Map Algebra]]   * [[ct/mapalgebra|Parallel Map Algebra]]
 +  * [[ct/sptw|Simple Parallel Tiff Writer]]
  
 ====Introduciton==== ====Introduciton====
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   - [[ct/ppysal|Parallel PySAL]]. The Parallel PySAL library provides a set of scalable [[http://pysal.org|PySAL]] functions. Currently, parallel PySAL components implemented using the multiprocessing python library. The Fisher-Jenks classification algorithm is integrated in the toolkit;   - [[ct/ppysal|Parallel PySAL]]. The Parallel PySAL library provides a set of scalable [[http://pysal.org|PySAL]] functions. Currently, parallel PySAL components implemented using the multiprocessing python library. The Fisher-Jenks classification algorithm is integrated in the toolkit;
   - [[ct/prasterblaster|pRasterBlaster]]. pRasterBlaster is a high-performance map reprojection software contributed by the Center of Excellence for Geospatial Information Science ([[http://cegis.usgs.gov|CEGIS]]) within the [[http://usgs.gov|U.S. Geological Survey]];   - [[ct/prasterblaster|pRasterBlaster]]. pRasterBlaster is a high-performance map reprojection software contributed by the Center of Excellence for Geospatial Information Science ([[http://cegis.usgs.gov|CEGIS]]) within the [[http://usgs.gov|U.S. Geological Survey]];
-  - [[ct/pgap|PGAP]]. PGAP is a scalable Parallel Genetical Algorithm (PGA) solver for the Generalized Assignment Problem (GAP). This code provides an efficient PGA implementation for combinatorial optimization problem-solving and scaled up to 262K processor cores on BlueWaters with marginal communcation cost.+  - [[ct/pgap|PGAP]]. PGAP is a scalable Parallel Genetical Algorithm (PGA) solver for the Generalized Assignment Problem (GAP). This code provides an efficient PGA implementation for combinatorial optimization problem-solving and scaled up to 262K processor cores on BlueWaters with marginal communication cost;
   - [[ct/pabm|Parallel Agent-Based Modeling (PABM)]]. PABM is an illustrative software for scalable spatially explicit agent-based modeling (ABM);   - [[ct/pabm|Parallel Agent-Based Modeling (PABM)]]. PABM is an illustrative software for scalable spatially explicit agent-based modeling (ABM);
 +  - [[ct/gkde|Parallel Kernel Density Estimation]] A multi-GPU code for data-intensive kernel density estimation (KDE). Spatial computational domain is first estimated for KDE. Then the study area is decompose into sub-regions through an adaptive partitioning approach. Each sub-region is processed by a GPU node. These GPU nodes are communicated through massage passing interface (MPI);
 +  - [[ct/mapalgebra|Parallel Map Algebra]] This package contains a parallel map algebra code using CUDA, MPI, and Parallel I/O. It is extracted from a parallel geospatial programming models training package;
 +  - [[ct/sptw|Simple Parallel Tiff Writer]] This is a parallel IO code for writing GeoTIFF file on a parallel file system.
  
  
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   * PGAP: [[http://opensource.org/licenses/NCSA|NCSA open source license]]   * PGAP: [[http://opensource.org/licenses/NCSA|NCSA open source license]]
   * PABM: [[http://opensource.org/licenses/NCSA|NCSA open source license]]   * PABM: [[http://opensource.org/licenses/NCSA|NCSA open source license]]
 +  * gKDE: [[http://opensource.org/licenses/NCSA|NCSA open source license]]
 +  * MapAlgebra: [[http://opensource.org/licenses/NCSA|NCSA open source license]]
  
 ====Contact==== ====Contact====
 If you have any questions about CyberGIS Toolkit, please contact CyberGIS Helpdesk ([[help@cybergis.org]]). If you have any questions about CyberGIS Toolkit, please contact CyberGIS Helpdesk ([[help@cybergis.org]]).