Efficient Processing of Multiple Contacts in MPP-DYNA
Complex models often contain more than just a few contact interfaces. The decomposition of such a model can result in an uneven distribution of these contacts among the available processors. Some contacts may lie wholly on a single processor, while others will be distributed across many or all of the processors. Some processors may have many contacts to handle, and others may have none. This variability can cause inefficiencies which adversely impact scalability. I will show recent work on contact algorithms in MPP-DYNA which addresses some of these issues.
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Efficient Processing of Multiple Contacts in MPP-DYNA
Complex models often contain more than just a few contact interfaces. The decomposition of such a model can result in an uneven distribution of these contacts among the available processors. Some contacts may lie wholly on a single processor, while others will be distributed across many or all of the processors. Some processors may have many contacts to handle, and others may have none. This variability can cause inefficiencies which adversely impact scalability. I will show recent work on contact algorithms in MPP-DYNA which addresses some of these issues.