# how to implement a hierarchical clustering technique using parallel execution in R

In R, currently to implement wards method for hierarchical clustering, I use the following code - results <- hclust(data, "ward.D2"). However as my data size has increased exponentially, I wanted to implement parallel execution.

Since I found no package, I tried to re-write the hclust method, however most of its code is written in fortan.

Does there exist any way to implement parallel execution here?