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Structural dynamic analysis on a parallel computer - The finite element machine
18
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0
References
1984
Year
Numerical AnalysisEngineeringStructural DynamicsMechanical EngineeringComputer ArchitectureParallel ImplementationStructural OptimizationComputational MechanicsStructural SystemStructural EngineeringParallel SoftwareStructural ComputationsSystems EngineeringModeling And SimulationStructural DynamicParallel ComputingMassively-parallel ComputingStructural Dynamic AnalysisExperimental Mimd ComputerComputer EngineeringDynamic AnalysisTransient Response CalculationsStructural DesignComputer ScienceFinite Element MethodParallel ProcessingParallel Performance EvaluationMechanical SystemsParallel ProgrammingParallel ComputerStructural MechanicsVibration ControlFinite Element Machine
Abstract The development of general-purpose finite element computer software systems has provided the capability to analyze a wide range of linear and non-linear structural problems. However, these software systems are severely limited for non-linear response calculations because of the available speed on current sequential computers. Recent and projected advances in parallel multiple instruction multiple data (MIMD) computers provide an opportunity for significant gains in computing speed and for broadening the range of structural problems which may be solved. The key to these gains is the effective selection and implementation of algorithms which exploit parallel computing. This paper documents experiences solving transient response calculations on an experimental MIMD computer, termed the Finite Element Machine. The paper describes the algorithm used, its implementation for parallel computations, and results for representative one- and two-dimensional dynamic response test problems. The results show computation speedups of up to 7.83 for eight processors, and indicate that significant speedups of solution time are possible for non-linear dynamic response calculations through the use of many processors and appropriate parallel integration algorithms. The results are extremely encouraging and suggest that significant speedups in structural computations can be achieved through advances in parallel computers.