Why is running this function in a for loop faster on average than running it in parallel?

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Amazon EC2 with 96 vCPU and 768 GB RAM. The for loop only needs roughly half the time per iteration compared to parSapply.

library(parallel)

mat <- matrix(rno


                      
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