From: Mu In Taiwan (mu.in.taiwan@gmail.com)
Date: Tue Nov 17 2009 - 05:38:51 MST
> Top 500 has zero -- repeat *zero* -- relevance to AGI.
Perhaps it would help if you could point to the working
implementations of AGI that you had in mind as you wrote this.
On 11/17/09, Alejandro Dubrovsky <alito@organicrobot.com> wrote:
> On Tue, 2009-11-17 at 00:43 -0800, J. Andrew Rogers wrote:
>
>> Top 500 has zero -- repeat *zero* -- relevance to AGI. None. Zip.
>> Nada. It benchmarks a code that is completely orthogonal to
>> essentially all AGI workloads, and selects for systems that typical
>> AGI workloads would scale horribly on. Top 500 is scaling because it
>> increasingly excludes almost all useful workloads outside of an
>> extremely narrow application space.
>>
> That seems like way too strong a statement to me. Firstly, top 500
> gives you something like an estimate upper bound on the performance of
> almost any code you might write. It tells you how much you are giving
> up by not making your code more linpack-like.
>
> Secondly, some code, eg simple computer vision algorithms, don't look
> that different from linpack, and might scale just as well. It seems
> wrong to call those algorithms as having absolutely nothing to do with
> AI.
>
>
>
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