From Newsgroup: comp.lang.java.programmer
Hi,
While ADA RendezVous is often depicted as
tied to a leading task that initiate the
exchange and responder task that completes
the exchange. The exchange mechanism itself
can be extracted into a channel object. We do
so using busy-wait in 100% Prolog to
extend the -C-WAM emulator.
To obtain channel objects, we could straight
forward realize the offer/poll from Doug LearCOs
SynchronousQueue using the Prolog dynamic
database. The test case with emulated MPMC
queues worked like a charm. We plan further
benchmarking of physically grouped logical threads.
Bye
See also:
Emulating ADA RendezVous in -C-WAM
https://medium.com/2989/11ad1908dbcf
Mild Shock schrieb:
Hi,
We recently got a little excited seeing the
figures of a budget AI laptop experiment running
-C-WAM on its silicon integrated GPU. Meanwhile
we could contain ourselves, and brought the
prototype into production via the library(edge/
furryhaze). A first experience report.
We try to find 0xCAFFEE in enumerating 4 6-bit
digits and the baseline is Dogelog Player VM in
a browser. The CPU backend with 64 logical threads
is already 20 times faster, partly due to its
32-bit specialization. The GPU backend with 4096
logical threads boosts a further factor of 7 times.
Bye
See also:
GPU Backend: Find 0xCAFFEE with -C-WAM
https://medium.com/2989/8890efd3503c
Mild Shock schrieb:
Dear All,
We are happy to announce a new edition of
the Dogelog Player:
- Syntax Errors:
Using some generic object access API across
JavaScript, Python and Java, we could extract
an error line and an error caret from an
input stream in 100% Prolog, and add it to
the display of syntax errors. The feature is
open source, might serve human programmers
and coder agents brain food alike.
- Parallel Emulation:
The emulate/1 predicate for -C-WAM got a
brother emulate/2 that accepts an option list,
that we can extend in future releases. The
emulator itself has been extended to perform
a parallel simulation by using interleaved
synchronized emulation in 100% Prolog and
recognizes a size/1 option for the number
of logical threads.
- Parallel Execution:
There now exists also a CPU backend that
complements the Dogelog Player cooperative
multitasking by preemptive multithreading
accepting -C-WAM code via the newly introduced
execute/2 predicate. This predicate additionally
recognizes a group/1 option for the number of
logical threads that are bundled onto
a physical thread.
Have Fun!
Jan Burse, July 27, 2026, https://www.herbrand.ai/
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