August 2015
Intermediate to advanced
286 pages
5h 42m
English
Content preview from Python Parallel Programming CookbookBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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The MapReduce operation with PyCUDA
PyCUDA provides a functionality to perform reduction operations on the GPU. This is possible with the pycuda.reduction.ReductionKernel method:
ReductionKernel(dtype_out, arguments, map_expr ,reduce_expr,
name,optional_parameters) Here, we note that:
dtype_out: This is the output's data type. It must be specified by thenumpy.dtypedata type.arguments: This is a C argument list of all the parameters involved in the reduction's operation.map_expr: This is a string that represents the mapping operation. Each vector in this expression must be referenced with the variablei.reduce_expr: This is a string that represents the reduction operation. The operands in this expression are indicated by lowercase letters, such ...
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