I worked on the original Pixar Image Computer from which all subsequent SIMD image architectures are derived. About 35 years ago now. A lot of what the application sheet talks about is driver augmentation, which is mostly formatting camera data for display using the Porter-Duff image algebra, what video folks know as "compositing". The SIMD cores would be usable as vector processors for DSP.

On Fri, Jan 22, 2021 at 12:52 PM Zach Metzinger <zmetzing@pobox.com> wrote:
On 01/22/21 14:14, Bruce Perens wrote:
> The embedded Vision Accelerators aren't really graphics accelerators.
> They do some important things for DSP that we could potentially
> leverage, but I haven't been able to tell in short look if they are
> actually documented so that you can program them, or just are hardware
> accelerators for a proprietary thing they call Vision pack. See
> https://ieeexplore.ieee.org/document/6865062

The EVE is optimized to deal with pixel data, which could be input or
output. From the paper you cited:

"ARP32,  a  32-bit  RISC  core,  is  the  master  controller  and
programmable  frontend  of  EVE  providing  the  user  a  full
ANSI-C  level  programming  environment  complete  with  state-
of-art  solution  for  debug  and  tools  support  for  easy  software
development. "

"VCOP   (shown   in   Figure   2),   the   Vector/Vision   CO-
Processor,  is  an  8-way  SIMD  engine  with  two  parallel  and
identical functional units (FUs) per SIMD lane.  "

You're right in that it doesn't draw circles, do fills, etc. as
primitive operations.

When I speak of AI, I mean hardware Convolutional Neural Networks
(CNNs), like this:

https://tinyurl.com/y5em9k5p

--- Zach
N0ZGO

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--
Bruce Perens - CEO at stealth startup. I'll tell you what it is eventually :-)