Dogelog Player: 11.4 Giga Lips with a Budget Laptop (Re : ANN: Dogelog Player 2.2.3 (Introducing π-WAM))

Hi,

At the end of 2025 we acquired a couple of AI
Laptops , that were still cheap, since RAM prices
had not yet rocketed. The intend was to tap into
the Copilot+ certified hardware, and shave off
some of the TOPS to do Prolog inferencing. Amazingly
our π-WAM can churn 11.4 GIGA LIPS.

GPUs have evolved form lock-step to independent
thread scheduling. This made it possible to port
the Hack VM variant, that forms the basis for
our π-WAM, to WebGPU computer shaders. Using
NUM_SHADERS = 4096 we could produce 11.4 Giga Lips
on a Ryzen AI 7 350 w/ Radeon 860M.

Bye

See also:

Dogelog Player: 11.4 Giga Lips with a Budget Laptop
https://medium.com/2989/899b0d5c027b

Mild Shock schrieb:
> Dear All,
> 
> We are happy to announce a new edition of
> the Dogelog Player:
> 
> - Unicode 17.0:
> We lifted the Dogelog Player for Java build
> to JDK 26 and regenerated our Unicode database
> for category and number value for the JavaScript
> and Python build. The supported version is now
> 17.0 and we managed somehow to reduce the footprint
> from 16848 words to 15000 words.
> 
> - Emulating π-WAM:
> The new library(edge/brainfog) permits the
> execution of certain Prolog goals in a π-WAM
> backend. The concept of a π-WAM embraces a
> fusion of a processs (π) calculus and a Warren
> Abstract Machine (WAM). Optimized for speed the
> WAM is very primitive and currently only supports
> the ‘$SEQ’/2 control construct, plus rudimentary
> 32-bit integer arithmetic and between/3.
> 
> - Executing π-WAM:
> Both emulate/1 and execute/1 compile into an
> identical instruction stream. In the virtual
> machine the instructions are 32-bit inspired by
> combinations of the 16-bit A and C instructions
> from the original Hack. The resulting π-WAM
> currently doesn’t support a stack, a trail
> or choice points but can nevertheless
> do backtracking.
> 
> Have Fun!
> 
> Jan Burse, July 07, 2026, https://www.herbrand.ai/