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NNTP-Posting-Date: Fri, 18 Oct 2024 18:12:14 +0000
Subject: Re: Well DUH ! AI People Finally Realize They Can Ditch Most
 Floating-Point for Big Ints
Newsgroups: comp.os.linux.misc
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From: 186282ud0s3 <186283@ud0s4.net>
Date: Fri, 18 Oct 2024 14:12:13 -0400
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On 10/18/24 12:34 PM, Richard Kettlewell wrote:
> "186282@ud0s4.net" <186283@ud0s4.net> writes:
>> On 10/16/24 6:56 AM, Richard Kettlewell wrote:
>>> "186282@ud0s4.net" <186283@ud0s4.net> writes:
>>>>     BUT ... as said, even a 32-bit int can handle fairly
>>>>     large vals. Mult little vals by 100 or 1000 and you can
>>>>     throw away the need for decimal points - and the POWER
>>>>     required to do such calx. Accuracy should be more than
>>>>     adequate.
>>> You’re talking about fixed-point arithmetic, which is already used
>>> where appropriate (although the scale is a power of 2 so you can
>>> shift products down into the right place rather than dividing).
>>>
>>>>     In any case, I'm happy SOMEONE finally realized this.
>>>>
>>>>     TOOK a really LONG time though ......
>>>
>>> It’s obvious that you’ve not actually read or understood the paper
>>> that this thread is about.
>>
>>    Maybe I understood it better than you ... and from
>>    4+ decades of experiences.
> 
> Perhaps you could explain why you keep talking about integer arithmetic
> when the paper is about floating point arithmetic, then.


   Umm ... because the idea of swapping FP for ints in
   order to save lots of power was introduced ?

   This issue is getting to be *poitical* now - the
   ultra-greenies freaking about how much power the
   'AI' computing centers require.