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| Streaming of pieces, extents and time steps and multi-block support in VTK:
| | #REDIRECT [[VTK/Tutorials/Executives]] |
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| Executives: | |
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| vtkExecutive: General purpose superclass. Stores 1 algorithm, input and output information. Does not implement any pipeline passes.
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| vtkDemandDrivenPipeline: Implements REQUEST_DATA_OBJECT, REQUEST_INFORMATION and REQUEST_DATA passes.
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| vtkStreamingDemandDrivenPipeline: Implements REQUEST_UPDATE_EXTENT and REQUEST_UPDATE_EXTENT_INFORMATION (used for dynamic streaming) passes. Introduces concept of extents for structured datasets and piece for unstructured datasets and time steps. Support for extent translator.
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| Talk about streaming
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| Talk about parallel processing
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| Streaming in filters (vtkTemporalStatistics - CONTINUE_EXECUTING()), streaming outside filters (vtkPolyDataMapper, looping at the sink)
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| vtkCompositeDataPipeline: Adds support for iterating over time steps and multiple blocks:
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| - If a filter can only handle single block datasets (e.g. vtkDataSet, vtkGraph, ...), this executive can iterate over the blocks of a multi-block dataset and invoke the filter for each block
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| - If a filter can only handle one time step and the input has multiple time step, this executive can iterate over the time steps and invoke the filter for each
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| - If a reader can only provide one time step at a time and downstream requested multiple time steps, this executive can ask the reader to read each time step and collect the result in a temporal dataset
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