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Parallels student edition difference
Parallels student edition difference













parallels student edition difference parallels student edition difference parallels student edition difference

The efficiency of the dynamic load balancing scheme depends on the load Predefined fields using a results file ( Predefined Fields) Selective subcycling ( Selective subcycling) The followingįunctionality is not supported with dynamic load balancing: Over the processors so as to minimize the load imbalance. Will regularly measure the computational expense and redistribute the domains Number of domains that is a multiple of the number of processors. For cases exhibiting significant load imbalance, eitherīecause the initial load balancing is not adequate (static imbalance) orīecause imbalance develops over time (dynamic imbalance), the dynamic loadĪbaqus/Standard and Abaqus/Explicit execution).ĭynamic load balancing is based on over-decomposition: the user selects a The load balance is defined as the ratio of the computational expense of allĭomains in the most expensive process to that of all domains in the leastĮxpensive process. Resulting domains take approximately the same amount of computational expense. MPI and thread-based parallelization modes areĭuring initialization, the domain-level method divides the model so that the However, information must be passed between theĭomains in each increment because the domains share common boundaries. The domains are distributedĮvenly among the available processors. These domains are referred to as parallel domains to distinguish themįrom other domains associated with the analysis. The domain-level method splits the model into a number of topologicalĭomains.















Parallels student edition difference