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Reducing total memory usage from 329MB to 268MB for the
ml100k.jl
test by usingSubArray
s within Julia.The problem is that given a matrix
X
, accessing a column or row of the matrixX[:, c]
will allocate a completely new array with the contents ofX[:, c]
. Julia can avoid this by using subarrays which are views/references to the subarray with the matrix. To use a subarray and avoid memory allocation:sub(X, :, c)
.To support both types of
SubArray
andDenseVector
, we convert some types toStridedVector
which is essentially a union of the two.