Parallelizing spatial matrix operations
I’m working on parallelizing a jitter mop algorithm that needs to know the row (y-axis).
From MaxAPI-5.1.1: "[i]f your object performs some kind of spatial operation… you will … need to account for the matrix segmentation used by the parallel utilities"
I thought to store the base pointer in my object and then do something like the following in calculate_ndim:
int start_row = (bop – x->bop) / minfo->dimstride[1];
My question is: is pointer arithmetic a kosher approach? Can I rely on the memory being contiguous, etc.
Cheers,
Chris
Bump.
Maybe the question was unclear?
Yes, that is actually a clever way to accomplish this.
It’s not documented in the SDK, but we pass on the stack the t_jit_parallel_ndim_worker struct after all the traditional arguments to your calculate_ndim function. You can grab the row from t_jit_parallel_ndim_worker.offset[1].
Let us know if you have issues.
-Joshua