This kind of think is really only interesting for shell piping in bash. It 
won’t help numerical, tensor, neural, simulation, nor business codes. Good 
FORTRAN environments can do hard numerical faster. To a lesser amount, so can 
C. In supercomputing, that advantage is reduced. I/O bandwidth becomes more 
important. In business, I/O is the only thing that’s important. The only think 
that reliably makes a difference is the quality of the developers.

Startup in Java, Microsoft’s library framework, &c. have slower start up times 
because no one has bothered to optimize things for startup time. The time to 
get the entire task completed (or cost) is the only thing that is important.

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