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[zenci]

Hi,

I have folded my long vector into 2D using column-major ordering in Brook. I want to apply sparse matrix multiply using x[index]*A in a kernel on my 2D streams.

1. How can I get and operate on each column of my 2D stream? (If I do this, I can still use my 1D sparse matrix multiplication kernel)

2. Is there an easier way to implement this matrix operation using a construction similar to (x[index]*A) but perhaps utilizing 2D arrays? This would avoid me calling my 1D kernel.

Thanks.

[genaganna]

Originally posted by: zenci Hi,

I have folded my long vector into 2D using column-major ordering in Brook. I want to apply sparse matrix multiply using x[index]*A in a kernel on my 2D streams.

 

1. How can I get and operate on each column of my 2D stream? (If I do this, I can still use my 1D sparse matrix multiplication kernel)

2. Is there an easier way to implement this matrix operation using a construction similar to (x[index]*A) but perhaps utilizing 2D arrays? This would avoid me calling my 1D kernel.

 Thanks.

I am not clear what you are asking. could you please post your kernel code here?