What do you do if you need to multiply matrices that won't fit in memory? There are many approaches to this problem. The talk will describe one approach that uses a combination of Numpy memmap and SciPy CSR sparse matrices to perform matrix-vector multiplication for matrices so large that even the sparse representation does not fit in memory.