Fortran-S: a Fortran interface for shared virtual memory architectures
Proceedings of the 1993 ACM/IEEE conference on Supercomputing
The PVM concurrent computing system: evolution, experiences, and trends
Parallel Computing - Special issue: message passing interfaces
Portable programming with the PARMACS message-passing library
Parallel Computing - Special issue: message passing interfaces
Future Generation Computer Systems - Special issue: high performance computing and networking (HPCN)
Comparative efficiencies of domain decompositions
Parallel Computing
Extending HPF for Advanced Data-Parallel Applications
IEEE Parallel & Distributed Technology: Systems & Technology
Parallel Industrial Fluid Dynamics and Structural Mechanics Codes
HPCN Europe 1996 Proceedings of the International Conference and Exhibition on High-Performance Computing and Networking
Real Industrial HPC Applications
HPCN Europe 1996 Proceedings of the International Conference and Exhibition on High-Performance Computing and Networking
Communication Reqirements in Parallel Crashworthiness Simulation
HPCN Europe 1994 Proceedings of the nternational Conference and Exhibition on High-Performance Computing and Networking Volume I: Applications
HPF+ Investigations with Crash-Simulation Kernels
MPPM '97 Proceedings of the Conference on Massively Parallel Programming Models
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This paper addresses parallel programming paradigms for nonlinear, explicit finite element simulations primarily employed for crashworthiness and occupant safety simulations in the automotive industry. The reliance of industrial design on computer simulation and state-of-the-art high performance computing architectures will be discussed as a motivation for the need for parallel implementations of such codes. Concrete descriptions of parallelisation strategies using shared-memory micro-tasking, message-passing, and high performance Fortran will be given for the industrial simulation code PAM-CRASH^(TM) (and the related code PAM-SAFE^(TM)), together with performance results on a variety of parallel platforms.