Source
ParallelProcessing¶
The Block module provides a |
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Module to process data in parallel for large data sets |
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This sub-package provides functions for parallel processing of large data for functions that cannot be split into blocks or that have a more optimal way of parallelization. |
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Decorator to traceback errors in parallel processes. |
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Provides formatting tool to print text with parallel process header. |
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Shared ctype memory arrays. |
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Shared memory array manager for parallel processing using ctype shared arrays in |
This sub-package provides functions for parallel processing of data for ClearMap.
The main functionality is to dsitribute
Blocks of data to be processed in parallel
manged by ClearMap.ParallelProcessing.BlockProcessing.
The DataProcessing sub-module
contains cython implementations for a set of functions to be applied to
large arrays in parallel with out sub-dividing the data into blocks
but using memory mapping and the buffer interface.