???? Hardware-accellerated python ????

[Armin Steinhoff]

In article <8mr44b01d1s at news2.newsguy.com>, "Alex says...
>
>"Armin Steinhoff" <Armin at Steinhoff_de> wrote in message
>news:8mr18c$12s9 at drn.newsguy.com...
>> In article <DW4k5.118428$1h3.1883630 at news20.bellglobal.com>, "Olivier
>says...
>> >
[ clip ..]
>> >The nature of an interpreted language (and many other features of python)
>> >makes it hard to put it on a chip (or to compile).  At least, that's how
>> >I understand it.  Maybe I'm wrong?
>>
>> You are wrong ... tokens processed as machine code ist just faster.
>
>It's a bit more complex than you make it out, Armin. 

Yes ... it was just a fast comment :-)

> A general-purpose CPU
>(like other similarly general-purpose pieces of hardware -- RAM, caches, &c)
>has a huge market: it can amortize huge investments in technology and design
>to shrink it down to the best that's technologically feasible at any given
>time.
>
>A special-purpose CPU designed/built to similar economic constraints cannot
>hope to match the design-rules/process-learning-curve/etc of the general
[ clip.. ]
>continuing investments to try to catch up with mainstream technology.

Right so far ... but the term 'general purpose CPU' has been changed since we 
have the TRANSMETA CPUs.

Could not a TRANSMETA CPU a candidat for implementing a  'special purpose CPU'
for processing interpreter tokens ??

Regards

Armin