Computing Cluster
                                The Korea construction engineering development (KOCED) has introduced a computing cluster system for large parallel numerical analysis, effective online hybrid testing, visualization needs, and the KOCED education grid.
                            
                            
                            
                                Characteristics & Specifications
                                
                                    
                                        Characteristics & Specifications
                                        
                                            
                                            
                                            
                                        
                                        
                                            
                                                | Item | System | Model | 
                                        
                                        
                                            
                                                | CPU | Quad-Core Intel Xeon Pro E5430 2.66GHz * 2 | Quad-Core Intel Xeon Pro E5430 2.33GHz * 2 | 
                                            
                                                | Memory | 4GB DDR2 Memory | 2GB DDR2 Memory | 
                                            
                                                | Hard disk | 146GB SAS Hard Drive | 80GB SAS Hard Drive | 
                                            
                                                | OS | Linux | 
                                            
                                                | Software | - C++ comlier - Fortran complier
 - Linear Algebra Library : Blas, Lapack
 - MPI Library
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                                    - Hybrid testing and multi-site online testing through Korea Research Environment Open NETwork (KREONET) and Global Ring Network for Advanced Applications Development(GLORIAD)
- Structural analysis by large parallel numerical analysis
- Visualization of data by fast data processing
- Web-based job submission and management