XPost: sci.physics.relativity, comp.lang.prolog
From: janburse@fastmail.fm

Hi,

You wrote:

 > No, they don't, they just add one (or some)
 > more layer on top of it.

Techically they are not von Neuman architecture.
Unified Memory with Multiple Tensor Cores is
not von Neuman architecture. But the architecture

is possibly toned down by Data Flow, so that
in principle one can run the same thing on a
von Neuman architecture.

But in principle the architecture is rather:

parallel random-access machine (parallel RAM
or PRAM) is a shared-memory abstract machine.
https://en.wikipedia.org/wiki/Parallel_RAM

The above class of machines is not widely know.
But PRAM has been also studied, already in the 80's.

Bye

Maciej Woźniak schrieb:
> On 12/1/2025 11:25 AM, Mild Shock wrote:
>> Hi,
>>
>> 1) Classical computing = Boolean logic + von Neumann architecture
>
>
>
>>
>> For decades, all mainstream computation was built on:
>> Boolean algebra
>> Logic gates
>> Scalar operations executed sequentially
>> Memory and compute as separate blocks
>> Even floating-point arithmetic was implemented on top of Boolean logic.
>>
>> This shaped how programmers think — algorithms expressed
>> as symbolic operations, control flow, and discrete steps.
>>
>> 2) AI accelerators break from that model
>
> No, they don't, they just add one (or some)
> more layer on top of it.
>
> On the other hand, neural networks were
> always outside. So were quantum computers.
> It was never the only one and never the
> most powerful one.
>
>
>
>

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