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A parallel adaptive dynamic relaxation (ADR) algorithm has been developed for nonlinear structural analysis. This algorithm has minimal memory requirements, is easily parallelizable and scalable to many processors, and is generally very reliable and efficient for highly nonlinear problems. Performance evaluations on single-processor computers have shown that the ADR algorithm is reliable and highly vectorizable, and that it is competitive with direct solution methods for the highly nonlinear problems considered. The present algorithm is implemented on the 512-processor Intel Touchstone DELTA system at Caltech, and it is designed to minimize the extent and frequency of interprocessor communication. The algorithm has been used to solve for the nonlinear static response of two and three dimensional hyperelastic systems involving contact. Impressive relative speedups have been achieved and demonstrate the high scalability of the ADR algorithm. For the class of problems addressed, the ADR algorithm represents a very promising approach for parallel-vector processing.

1Clevedon Case

By Nancy Oakley and John Oakley

Quoting from a "teaser" on the flyleaf: <br><br> The well-known authority on criminology, Dennis Holt, inherited a house in a remote village, the sort of place in which, to quote himself, “nothing ever happens.” One night at fifty-three minutes past eleven (he was always meticulously accurate about time), his attention was attracted by a peremptory tapping on the window pane. A moment later, the lower sash was slowly pushed up and a young girl appeared. <br><br> “Let me in!” she whispered. “Please—I have hurt myself.” <br><br> That was the beginning of a bewildering series of happenings in the life of Dennis Holt. Suddenly he found himself precipitated into the midst of a bewildering mystery, which at one time seemed to threaten even his own liberty. Patiently piecing together the ascertained facts, Holt eventually presented a remarkable reconstruction of what had taken place on that dramatic night.