A new transition metal borate, Co6(B24O39(OH)6(H2O)6·2.21H2O, synthesized via a mild hydrothermal synthesis
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Maksimova, Alevtina↗
Engineering topics
Smith, Mark D.
Publications and source records attributed to Smith, Mark D..
Parallel computing for probabilistic fatigue analysis
This paper presents the results of Phase I research to investigate the most effective parallel processing software strategies and hardware configurations for probabilistic structural analysis. We investigate the efficiency of both shared and distributed-memory architectures via a probabilistic fatigue life analysis problem. We also present a parallel programming approach, the virtual shared-memory paradigm, that is applicable across both types of hardware. Using this approach, problems can be solved on a variety of parallel configurations, including networks of single or multiprocessor workstations. We conclude that it is possible to effectively parallelize probabilistic fatigue analysis codes; however, special strategies will be needed to achieve large-scale parallelism to keep large number of processors busy and to treat problems with the large memory requirements encountered in practice. We also conclude that distributed-memory architecture is preferable to shared-memory for achieving large scale parallelism; however, in the future, the currently emerging hybrid-memory architectures will likely be optimal.
Sues, Robert H.↗