InfoGraph GmbH Parallel Sparse Solver


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The Parallel Sparse Solver is an equation solver for sparsely populated equation systems.
It can be used for all applications relating to statics and dynamics as well as the analysis of stability problems.

Using the Parallel Sparse Solver provides the following advantages over the standard equation solver:

  • Minimization of the amount of required memory space needed and the number of required computing operations
  • Significant speed advantage when solving the equation system
  • Exploitation of multiprocessor technology through parallel computing

To help demonstrate these enormous advantages, the system shown below will be calculated with the standard equation solver and the Parallel Sparse Solver.

System properties Standard Solver Sparse Solver
Nodes: 86330
Elements: 80968
Supports: 44
Unknowns: 517980
Stiffness matrix: 5,4 GB 1,6 GB
Triangulation time: 00:20:43 (h:m:s) 00:00:12 (h:m:s)

Computer system: CPU Core2Duo, 2.4 GHz, 8 GB RAM

The difference in the amount of memory space needed and in the calculation time is readily evident.

The advantages of the Parallel Sparse Solver are even more obvious if the system increases in terms of complexity or dynamic calculations are performed.