Hi,
My experience with change_arg/3 so far,
one that is akin to nb_linkarg/3 from SWI-Prolog
is as follows:
- The lack of purity in that there is one
more side effect, is compensated in that we
don't need a FFI and dozen foreign function
implemented gadgets, like this gadget,
termed "dedicated low-level implementation".
In SWI-Prolog, this can rely on an efficient specialised
implementation of aggregate_all(count,_,_), while we provide
a dedicated low-level XSB implementation in a count module
that we include with our program, courtesy of David S.
Warren (personal communication).
- Instead of million different gadgets, there
is only one gadget, which is change_arg/3 itself.
One can integrate it with the Prolog garbage collection.
I could demonstrated the same that change_arg/3
can fully participate in minor and major garbage collections
of the Prolog system using a write barrier.
- Having only this gadget, one can implement nb_XXX
datastructures such as findall/3 bag. The big advantage
since it will rely on Prolog garbage collection, is
that no slow setup_call_cleanup/3 is needed. You can
complemently forget about an infrastructure for this
monster, its all superseeded by garbage collection,
you also don't need to call some free()
- You can spin it further and implement more nb_XXX
datastructures profiting from the same advantages
again, this is ongoing work right now. Example
datastrutures are library(util/hash) and the
brand new library(util/tree).
- You can spin it even further to the ultimate goal.
You can then use these nb_XXX datastructures to
have memory savy aggregates. And thats one of the
plateaus we want to reach. We want to compete
with Pandas from Python and participate in Billion
Row Challenges.
Bye
Mild Shock schrieb:
Hi,
Spain is one of the main recipients of EU recovery funds,
with a total of 163 billion euros ($178 billion) earmarked
for the country, approximately half in grants and the rest
in loans. It has already received 37 billion euros.
Madrid and software.imdea.org is no exception. Probably
the same disaster as the Valencia floods. The money
is just siphoned into some crooks pockets. The biggest
crooks are at the moment ALP & friends,
just publishing a series of failure reports. Every
paper just reports some problems, never solutions.
Most recent cringe example:
BoostRLR: The beauty of Prolog for statistical
relational learning https://www.informatik.uni-wuerzburg.de/fileadmin/10030600/2024/KI_2004_paper_174.pdf
What the fuck does this mean:
In SWI-Prolog, this can rely on an efficient specialised
implementation of aggregate_all(count,_,_), while we provide
a dedicated low-level XSB implementation in a count module
that we include with our program, courtesy of David S.
Warren (personal communication).
Why is change_arg/3 not common among Prolog systems.
Why do we deal with aggregates like we are still in
stone age. Aggregates are a well known discipline
of database technology.
Why only aggregate_all/2 and not also a memory savy
solutions of aggregate/3. Aggregates are the bread
and butter of statistics.
Bye
Mild Shock schrieb:
Just reading:
"Deep ecologists reject any mechanical
or computer model of nature, and see
the Earth as a living organism, which
should be treated and understood accordingly"
https://en.wikipedia.org/wiki/Deep_ecology#Sources
Now that we enter the age of AI. What
about an AI Computer model. An AI Earth
Computer model? Any pointers?
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