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 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 :-)