Multicore processors have fundamentally changed the way software is developed.
In particular, no longer can features be added to software with increases
in processor clock speeds covering any overhead.  Rather, programs must be
parallel to see performance gains with new processors.  This forces the
average programmer to perform duties previously only expected of heroic
programmers.
A partial solution to this problem is domain specific languages.  Three 
examples were given: HPF, a compiler for polymer chemistry, and Aspen, a 
language for network services.  We show these languages raise the level
of abstraction high enough that respective domain experts can achieve 
good performance on parallel machines while remaining oblivious to the
parallel structure of final application.