Automated compute kernel fusion, resizing, and interleave
Abstract:
In a pipelined application having different stages of processing, such as a graphics application or an image processing application, there may be a dependence of one compute kernel upon another. Data associated with individual kernels needs to be written and read. A technique to minimize a need to read and write kernel data to external memory utilize at least one of fusing kernels, resizing workgroups, and performing interleaving of kernels.
Public/Granted literature
Information query
Patent Agency Ranking
0/0