Matchit in R on different datasets in parallel

I have multiple datasets for which I need to execute matchit. It's all just one dataset which I have divided into multiple datasets.

datalist <-split(data, data$column)
## split the data based on the column, the matching needs to happen within the same column value strata 

## Example : 13 datasets in the list datalist

# Register parallel cluster with  cores [one sub-dataset one core process]
cl <- makeCluster(length(datalist))
registerDoParallel(cl)

## I have 96 cores available

output <- foreach(i=1:length(datalist), .combine = 'rbind')  %dopar%  {
    
    
         matchingresults <- matchit(treatment ~ a,
                                   data=datalist[[i]], 
                                   #method = "nearest", 
                                   distance='euclidean',
                                   exact= ~ c + b,
                                   replace=FALSE)

            matcheddata <- match.data(matchingresults)
           

            matcheddata
    
    }

I was hoping this will create 13 R sessions and run matching on each of the 13 datasets on a new core but it doesn't. It only creates one worker session.

How can I parallelize matching which uses the same logic on different datasets?