Dear Masters,
I have a text file that stores MxN (where M=3, N=4) matrix like this: 
1 2 0 0
0 3 9 0
0 1 4 0

[download]
The actual dataset I have have much larger dimension, e.g. 
M = 10^7
N = 10^2

[download]
In principle the Sparse Matrix implementation would give us this result: 
A  = [ 1 2 3 9 1 4 ]
IA = [ 1 3 5 7 ]
JA = [ 1 2 2 3 2 3 ]

[download]

Let NNZ denote the number of nonzero entries of Matrix. The first array is A, which is of length NNZ, and holds all nonzero entries of M in left-to-right top-to-bottom order. The second array is IA, which is of length m + 1 (i.e., one entry per row, plus one). IA(i) contains the index in A of the first nonzero element of row i. Row i of the original matrix extends from A(IA(i)) to A(IA(i+1)-1). The third array, JA, contains the column index of each element of A, so it also is of length NNZ.

Is there any implementation for handling such a large matrix to give us A, IA and JA, without having have to slurp all the files into RAM?

I have tested slurping it, my 4GB ram fails. The existing implementation with Math::MatrixSparse or PDL, all memory consumptive.

---
neversaint and everlastingly indebted.......

In reply to Memory Efficient Sparse Matrix Handling by neversaint

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