Years ago I made a presentation to management about our computer system.
Mainframe at the time. One thing I said was that probably less than 10% of
our computing power went to problem solving, given services to read cards,
locally and through RJE, retrieve data, print results, time spent
developing applications, compiling and testing, and general system
overhead. Of course, I don't think they believed me. Now, given all the
pretty graphics and network overhead to support cloud computing, it is
probably a very very small fraction of 1%.




On Fri, May 10, 2013 at 4:07 AM, Steven Taylor <[email protected]> wrote:

> Is a better algorithm overall that can be accelerated if needs be through
> gpu more desirable?
>
> Sent from my iPod
>
> On 10 May 2013, at 06:46, Roger Hui <[email protected]> wrote:
>
> > A relevant quote from Machine Solutions of Linear Differential
> > Equations<http://www.jsoftware.com/papers/MSLDE.htm> (Ken
> > Iverson's Ph.D. thesis, 1954), Section 2A4:
> >
> > The speed of modern computers has reached a point where, for many
> > applications, the time required to program a problem may be a more
> > important factor than the actual computing time. Attempts are made,
> > therefore, to simplify the work of programming in various ways.
> >
> >
> > And what is the speed of modern computers?  The answer is found in
> Section
> > 2B:
> >
> > A machine cycle is 1.2 milliseconds, the time required for a single
> order.
> >
> >
> >
> >
> > On Wed, May 8, 2013 at 11:24 AM, Devon McCormick <[email protected]>
> wrote:
> >
> >> I suppose it's not too late to toss in my usual plea to stop playing
> this
> >> game -
> >>
> >>
> http://www.jsoftware.com/jwiki/NYCJUG/2007-04-10#Reframing_the_Efficiency_Discussion
> >> .
> >>
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