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Profile and optimize implementation of GEKPLS #362
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Tasks doneI profiled the function GEKPLS and identified the potential bottlenecks, which might be causing heavy memory usage:
And upon individual inspection, I discovered that the function _ge_compute_pls might be the most heavily resourceful function for which I will provide the profiling information soon. @ChrisRackauckas & @vikram-s-narayan Here is the link to the notebook: |
It looks like you included compilation in the profiling. |
Yeah! I just tried to profile the whole function to get a high-level view of memory storage and time consumption.
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Profile implementation of GEKPLS and analyze and fix bottlenecks.
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