Day 2: Multiple Dimensions and Work-Groups
Yesterday we saw how to use clEnqueueNDRangeKernel to execute a set of work-items that processed a unidimensional array. Today weâll see how to extend that to multidimensional arrays and take advantage of OpenCLâs work-groups to increase the size of the problems we can tackle.
Multidimensional Work-Item Ranges
When a host calls clEnqueueNDRangeKernel to execute a kernel, it defines an index space. Each point in this index space is identified by a unique global ID that represents one work-item.
A kernel can find the global ID of the work-item itâs executing by calling get_global_id. In the example we saw yesterday the index space was unidimensional, and therefore the kernel only needed to call ...
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