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Clutch
Posts:
8
Registered:
2/19/12


How to optimize the multiplication of large matrices in Matlab?
Posted:
Mar 8, 2013 8:16 AM


I have 2 matrices A, B, and vector C that I need to multiply. They are fairly large.
Matrix A = 10000x10000
Matrix B = 10000x10000
Vector C = 10000x1
If I perform A*B*C, this takes a long time so I used sparse function which collapses the matrices/vectors by removing large number of zeros then I convert it back to a full matrix.
full(sparse(A)*sparse(B)*sparse(C))
It's faster but I was wondering if there are more efficient techniques for multiplying them together. Would it be better to write for loops?
Secondly, some of the elements in my matrix have values close to zero so I can replace these with zeroes before converting them to sparse matrices. What's the best way to do this?



