When you have a short-running task that completes in 0.01 sec, a startup
delay of 1.3 seconds (or more) *is* the total execution time.

On Fri, Nov 29, 2019 at 10:32 AM david hoyt <davidpaulh...@gmail.com> wrote:

> 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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