Computational Engineering Technology

Computational Engineering

Computational Engineering is high performance computing for engineering analysis and simulation. It typically involves parallel and vector capabilities and networking systems. New algorithms and analytic techniques are also used to enhance the power of these computational tools.

• Top/Science/Math/Numerical Analysis
• Top/Science/Software
• Top/Science/Technology/Software for Engineering

• - Information on courses, research and workshops.
  
• - Center at San Diego State University. Includes projects, faculty, staff and students involved, training offered and presentations.
  
• - At the National Center for Supercomputing Applications
  
• - Lab at Helsinki University of Technology. Includes contact information, research project presentations, list of publications and teaching activities.
  
• - Information related to multigrid, multilevel, multiscale, aggregation, defect correction, and domain decomposition methods.
  
• - ASR provides advanced computational and algorithmic support to the high performance computing needs of government and industrial clients. The core technology of ASR is a grid-free, massively parallel CFD tool, originally developed at M.I.T.
  
• - Center at Mississippi State University. Includes description of research program and graduate courses.
  
• - Source of information within the field and related areas of applied science.
  
  

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