Calculate the dissimilarity matrix on parallel kernels

Question

I am trying to calculate a dissimilarity matrix based on a large data frame. Since my functions are mixed with categorical and numerical functions, I need to use the function daisyin a cluster package .

Any idea how I can run this in parallel kernels? The following is an example aperture dataset:

require(cluster)

d <- daisy(iris)