Workflow-Level parametric study support by MOTEUR and the P-GRADE portal

  • Glatard T
  • Sipos G
  • Montagnat J
 et al. 
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Many large-scale scientific applications require the processing of complete data sets made of individual data segments that
can be manipulated independently following a single analysis procedure. Workflow managers have been designed for describing
and controlling such complex application control flows. However, when considering very data-intensive applications, there
is a large potential parallelism that should be properly exploited to ensure efficient processing. Distributed systems such
as Grid infrastructures are promising for handling the load resulting from parallel data analysis and manipulation. Workflow
managers can help in exploiting the infrastructure parallelism, given that they are able to handle the data flow resulting
from the application’s execution.

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