sum(rnorm(n)), calculate more efficiently

I want to simulate the end point of a one-dimensional brownian motion going on for many timesteps (n very large). 
Can this be done more efficiently than (effect of drift excluded): 
endpoint <- sum(rnorm(n))

Thanks in advance!
Karsten



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