novaBBS - sci.math - More of philosophy about China and about USA and about Exascale computers..

Hello,

More of philosophy about China and about USA and about Exascale computers..

I am a white arab from Morocco, and i think i am smart since i have also
invented many scalable algorithms and algorithms..

China has already reached Exascale - on two separate systems

And in USA Intel's Aurora Supercomputer Now Expected to Exceed 2 ExaFLOPS Performance

But Exascale supercomputers will also allow to construct an accurate map
of the brain that allows to "reverse" engineer or understand the brain,
read the following so that to notice it:

“If we don’t improve today’s technology, the compute time for a whole
mouse brain would be something like 1,000,000 days of work on current
supercomputers. Using all of Aurora, if everything worked beautifully,
it could still take 1,000 days.” Nicola Ferrier, Argonne senior computer
scientist

Also the goal of delivering safe, abundant, cheap energy from fusion is
just one of many challenges in which exascale computing’s power may
prove decisive. That’s the hope and expectation. Also to know more about
the other benefits of using Exascale computing power, read more here:

https://www.hpcwire.com/2019/05/07/ten-great-reasons-among-many-more-to-build-the-1-5-exaflops-frontier/

More of my philosophy about 3D stacking in CPUs and more..

3D stacking offers an extension for Moore’s Law, but in 3D stacking
Heat removal is the issue and the big problem, this is why the actual
technologies like the 3D stacking of Intel are limited to stacking just
two or few layers.

More of my philosophy about more of my philosophy about Moore’s Law and
EUV (Extreme ultraviolet lithography)..

Researchers have proposed successors to EUV, including e-beam and
nanoimprint lithography, but have not found any of them to be reliable
enough to justify substantial investment.

And I think by also using EUV (Extreme ultraviolet lithography) to
create CPUs we will extend Moore's law by around 15 years that
corresponds to around 100x scalability in performance, and i think that
it is the same performance of 100x as the following invention from graphene:

About graphene and about unlocking Moore’s Law..

I think that graphene can now be mass produced, you can read about it here:

We May Finally Have a Way of Mass Producing Graphene

It's as simple as one, two, three.

So the following invention will be possible:

Physicists Create Microchip 100 Times Faster Than Conventional Ones

More philosophy about the Microchips that are 100 Times or 1000 times
Faster Than Conventional Ones..

I think that the following invention of Microchips that are 100 Times
or 1000 times Faster Than Conventional Ones has its weakness, since
its weakness is cache-coherence traffic between cores that
takes time, so i think that they are speaking about 100-times
or 1000-times more speed in a single core performance, so
parallelism is still necessary and you need scalable algorithms
for that so that to scale much more on multicores CPUs..

Physicists Create Microchip 100 Times Faster Than Conventional Ones

More of my philosophy about the knee of an M/M/n queue and more..

Here is the mathematical equation of the knee of an M/M/n queue in
queuing theory in operational research:

1/(n+1)^(1/n)

n is the number of servers.

So then an M/M/1 has a knee of 50% of the utilization, and the one of
an M/M/2 is 0,578, so i correct below:

More of my philosophy about the network topology in multicores CPUs..

I invite you to look at the following video:

Ring or Mesh, or other? AMD's Future on CPU Connectivity

https://www.youtube.com/watch?v=8teWvMXK99I&t=904s

And i invite you to read the following article:

Does an AMD Chiplet Have a Core Count Limit?

I think i am smart and i say that the above video and the above article
are not so smart, so i will talk about a very important thing, and it is
the following, read the following:

Performance Scalability of a Multi-core Web Server

https://www.researchgate.net/publication/221046211_Performance_scalability_of_a_multi-core_web_server

So notice carefully that it is saying the following:

"..we determined that performance scaling was limited by the capacity of
the address bus, which became saturated on all eight cores. If this key
obstacle is addressed, commercial web server and systems software are
well-positioned to scale to a large number of cores."

So as you notice they were using an Intel Xeon of 8 cores, and the
application was scalable to 8x but the hardware was not scalable to 8x,
since it was scalable only to 4.8x, and this was caused by the bus
saturation, since the Address bus saturation causes poor scaling, and
the Address Bus carries requests and responses for data, called snoops,
and more caches mean more sources and more destinations for snoops that
is causing the poor scaling, so as you notice that a network topology of
a Ring bus or a bus was not sufficient so that to scale to 8x on an
Intel Xeon with 8 cores, so i think that the new architectures like Epyc
CPU and Threadripper CPU can use a faster bus or/and a different network
topology that permits to both ensure a full scalability locally in the
same node and globally between the nodes, so then we can notice that a
sophisticated mesh network topology not only permits to reduce the
number of hops inside the CPU for good latency, but it is also good for
reliability by using its sophisticated redundancy and it is faster than
previous topologies like the ring bus or the bus since
for example the search on address bus becomes parallelized, and it looks
like the internet network that uses mesh topology using routers, so it
parallelizes, and i also think that using a more sophisticated topology
like a mesh network topology is related to queuing theory since we can
notice that in operational research the mathematics says that we can
make the queue like M/M/1 more efficient by making the server more
powerful, but we can notice that
the knee of a M/M/1 queue is around 50% , so we can notice that
by using in a mesh topology like internet or inside a CPU you can
by parallelizing more you can in operational research both enhance the
knee of the queue and the speed of executing the transactions and it is
like using many servers in queuing theory and it permits to scale better
inside a CPU or in internet.

More of my philosophy about Machine programming and about oneAPI from
Intel company..

I will say that when you know C and C++ moderately, it will not be so
difficult to program OpenCL(Read about OpenCL here:
https://en.wikipedia.org/wiki/OpenCL) or CUDA, but the important
question is what is the difference between FPGA and GPU ? so i invite
you to read the following interesting paper about GPU vs FPGA
Performance Comparison:

https://www.bertendsp.com/pdf/whitepaper/BWP001_GPU_vs_FPGA_Performance_Comparison_v1.0.pdf

So i think from this paper above that GPU is the good way when you
want performance and you want too cost efficiency.

So i think that the following oneAPI from Intel company that wants with
it to do all the heavy lifting for you, so you can focus on the
algorithm, rather than on writing OpenCL calls, is not a so smart way of
doing, since as i said above that OpenCL and CUDA programming is not so
difficult, and as you will notice below that oneAPI from Intel permits
you to program FPGA in a higher level manner, but here again from the
paper above we can notice that GPU is the good way when you want
performance and cost efficiency, then so that to approximate well the
efficiency and usefulness of oneAPI from Intel you can still use
efficient and useful libraries.

Here is the new oneAPI from Intel company, read about it:

https://codematters.online/intel-oneapi-faq-part-1-what-is-oneapi/

And now i will talk about another interesting subject and it is
about the next revolution in the software industry that is Machine
programming, so i invite you to read carefully the following new article
about it:

https://venturebeat.com/2021/06/18/ai-weekly-the-promise-and-limitations-of-machine-programming-tools/

So i think that Machine programming will be limited to AI-powered
assistants that is not so efficient, since i think that connectionism
in artificial intelligence is not able to make emerge common sense
reasoning, so i invite you to read my following thoughts about it
so that to understand why:

More of my philosophy about the limit of the connectionist models in
artificial intelligence and more..

I think i am smart and i will say that the connectionist model like
of deep learning has not the same nature as of the human brain, since
i can say that the brain is not just connections of neurons like
in deep learning, but it is also a "sense" like the sense of touch,
and i think that this sense of the brain is biologic,
and i think that this kind of nature of the brain of being
also a sense is giving the emergence of consciousness and self-awareness
and a higher level of common sense reasoning, this
is why i think that the connectionist model in artifical intelligence is
showing its limits by not being able to make emerge common sense
reasoning, but as i said below that the hybrid connectionist + symbolic
model can make emerge common sense reasoning.

And here is what i said about human self-awareness and awareness:

So i will start by asking a philosophical question of:

Is human self-awareness and awareness an emergence and what is it ?

So i will explain my findings:

I think i have found the first smart pattern with my fluid intelligence
and i found also the rest and it is the following:

Notice that when you touch a cold water you will know about the essence
or nature of the cold water and you will also know that it is related
to senses of humans, so i think that the senses of a human give life
to ideas, it is like a "reification" of an idea, i mean that an idea
is alive since it is like reified with the senses of humans that senses
time and space and matter, so this reification gives the correct meaning
since you are like reifying with the human senses that gives the
meaning, and i say that this capacity of this kind of reification with
the human senses is an emergence that comes from the human biology, so i
am smart and i will say that the brain is a kind of calculator that
calculates by using composability with the meanings that come also from
this kind of reification with the human senses, and i think that
self-awareness comes from the human senses that senses our ideas of our
thinking, and it is what gives consciousness and self-awareness, so now
you are understanding that what is missing in artificial intelligence is
this kind of reification with the human senses that render the brain
much more optimal than artificial intelligence, and i will explain more
the why of it in my next posts.

More of my philosophy about the future of artificial intelligence and more...

I will ask a philosophical question of:

Can we forecast the future of artificial intelligence ?

I think i am smart, and i am quickly noticing that connectionism in
artificial intelligence like with deep learning is not working because
it is not able to make emerge common sense reasoning, so i invite you to
read the following article from ScienceDaily so that to notice it, since
it is speaking about the connectionist models(like the ones of deep
learning or the transformers that are a kind of deep learning) in
artificial intelligence:

https://www.sciencedaily.com/releases/2020/11/201118141702.htm

Other than that the new following artificial intelligence connectionist
models like from Microsoft and NVIDIA that are better than GPT-3
has the same weakness , since i think that they can not make emerge
common sense reasoning, here they are:

"Microsoft and Nvidia today announced that they trained what they claim
is the largest and most capable AI-powered language model to date:
Megatron-Turing Natural Language Generation (MT-NLP). The successor to
the companies’ Turing NLG 17B and Megatron-LM models, MT-NLP contains
530 billion parameters and achieves “unmatched” accuracy in a broad set
of natural language tasks, Microsoft and Nvidia say — including reading
comprehension, commonsense reasoning, and natural language inferences."

Because i also said the following:

I think i am quickly understanding the defects of Megatron-Turing
Natural Language Generation (MT-NLP) that is better than GPT-3, and it
is that "self-attention" of the transformers in NLP, even if they scale
to very long sequences, they have a limited expressiveness, as they
cannot process input sequentially they can not model hierarchical
structures and recursion, and hierarchical structure is widely thought
to be essential to modeling natural language, in particular its syntax,
so i think that Microsoft Megatron-Turing Natural Language Generation
(MT-NLP) and GPT-3 too will be practically applied to limited areas, but
they can not make emerge common sense reasoning or the like that are
necessary for general artificial intelligence.

Read the following paper so that to understand the mathematical proof of it:

https://aclanthology.org/2020.tacl-1.11.pdf

So i think that the model that will have much more success to or can
make emerge common sense reasoning is like the following hybrid model in
artificial intelligence of connectionism + symbolism that we call COMET,
read about it here:

Common Sense Comes Closer to Computers

https://www.quantamagazine.org/common-sense-comes-to-computers-20200430/

And here is what i also said about COMET:

I have just read the following article about neuroevolution
that is a meta-algorithm in artificial intelligence, an algorithm for
designing algorithms, i invite you to read about it here:

https://www.quantamagazine.org/computers-evolve-a-new-path-toward-human-intelligence-20191106/

So notice that it says the following

"In neuroevolution, you start by assigning random values to the weights
between layers. This randomness means the network won’t be very good at
its job. But from this sorry state, you then create a set of random
mutations — offspring neural networks with slightly different weights —
and evaluate their abilities. You keep the best ones, produce more
offspring, and repeat."

So i think that the problem with neuroevolution above is that the
"evaluate the abilities of the offspring neural networks" lacks common
sense.

So read the following interesting article that says that artificial
intelligence has also brought a kind of common sense to Computers, and
read about it here:

https://arxiv.org/abs/1906.05317

And read about it in the following article:

"Now, Choi and her collaborators have united these approaches. COMET
(short for “commonsense transformers”) extends GOFAI-style symbolic
reasoning with the latest advances in neural language modeling — a kind
of deep learning that aims to imbue computers with a statistical
“understanding” of written language. COMET works by reimagining
common-sense reasoning as a process of generating plausible (if
imperfect) responses to novel input, rather than making airtight
deductions by consulting a vast encyclopedia-like database."

More of my philosophy about Nanotechnology and about Exponential
Progress and more..

I think i am smart and i say that there is two ways of enhancing the
intelligence or such traits of humans, there is the way that i am
talking about below that needs huge data sets to detect the "patterns"
that explain human intelligence and such human traits and after that
make the changes in the genetics of humans, and there is the other way
by using Nanotechnology and nanorobots that enhance much more the
intelligence of a human by directly manipulating the brain or by putting
informations in the memory or erasing informations from the memory of
a human, so then when you erase informations like a good movie or like
interesting lessons of mathematics or such pleasures of life from the
memory of a human by using Nanotechnology, this allows to recreate again
or have again those pleasures of life, so then happiness will be
greatly enhanced by the way of Nanotechnology and nanorobots, and i
think it is also the way of the much more advanced extraterrestrials,
and i think that with our exponential progress we will be soon be able
to attain this level of sophistication of technology.

And read the following so that to know more about Nanotechnology:

Nanotechnology, the real science of miracles, the end of disease, aging,
poverty and pollution

More of my philosophy about intelligence and genetics and exponential
progress and more..

I think i am smart, and i will say that you have to read the following:

"Genome-wide association studies allow scientists to start to see how
combinations of many, many genes interact in complicated ways. And it
takes huge data sets to sort through all the genetic noise and find
variants that truly make a difference on traits like intelligence."

Read more here on the following interesting article:

https://www.vox.com/science-and-health/2017/6/6/15739590/genome-wide-studies

So i think that it needs huge data sets to detect the "patterns" that
explain human intelligence and such human traits, so i think that the
data, that permits it, is growing exponentially and really fast and the
computer power is also growing exponentially and really fast, so i think
that we will soon be able to find all the genetic variants in the human
genome that make a difference on traits like intelligence, so this is
why you are noticing that i am saying below that it is the easy part,
since i think that we will soon be able to enhance much more
the genetics of humans and become much more smart and much more
beautiful, since of course we will soon become so powerful and we have
to thank for it this superb exponential progress of our humanity.

More of my philosophy about white supremacism..

I invite you to read the following article from the white supremacist
website called national vanguard:

WLP88 – William Pierce: The Philosopher

https://nationalvanguard.org/2021/09/wlp88-william-pierce-the-philosopher/

I think those white supremacists are making a big mistake, since
the easy part is that we will soon be able to enhance "much" more
the genetics of humans and become much more smart and much more
beautiful, and you have to read my following thoughts so that to
understand correctly:

More of my philosophy about the knee of the exponential progress curve..

I think those white supremacists and neo-nazis are not well educated and
they lack on experience, this is why they are not understanding that
the easy part is that we will soon be able to enhance much more
the genetics of humans and become much more smart and much more
beautiful, since i think that we have "just" already attained the knee
of the exponential progress curve, this knee of the curve is the place
where growth suddenly switches from a slower to an even faster
exponential mode, so now the curve of exponential progress of our
humanity has "just" already started to go exponentially even much
faster, this is why in about 10 years from now we will become so
powerful because of it. And you have to look at the following video so
that to understand this exponential progress of our humanity:

Exponential Progress: Can We Expect Mind-Blowing Changes In The Near Future

https://www.youtube.com/watch?v=HfM5HXpfnJQ

More of my philosophy about science and white supremacists and neo-nazis..

I think white supremacists and neo-nazis are archaism, since they think
that there is a white european race, but it is not scientific, since in
science there is only one race that we call humans, and they base
there philosophy on the fact that white europeans are more smart or such
than others, but it is archaism since you have to look in the following
video at what is saying the Geneticist Jennifer Doudna that co-invented
a groundbreaking new technology for editing genes, called CRISPR-Cas9,
and she is a Nobel prize and she believes that the technical obstacles
to gene editing have been overcome and the world is rapidly approaching
the day when it will be possible to make essentially any kind of change
to any kind of human genome, so i think we will soon be able to enhance
much more the genetics of humans so that humans become much more smart
or much more beautiful or such, and look at the following video so that
to notice it, so we have to know how to be patience, and you have to
take into account our exponential progress of humanity, read about it in
my thoughts below:

The Era of Genetically Modified Superhumans

https://www.youtube.com/watch?v=klo-rSlsju8&t=23s

And read my following thoughts:

More of my philosophy about Nanotechnology and about Exponential Progress..

We will soon be able to be so powerful, and i invite you to look at the
following interesting video so that to understand it:

Exponential Progress: Can We Expect Mind-Blowing Changes In The Near Future

https://www.youtube.com/watch?v=HfM5HXpfnJQ

And read the following:

Nanotechnology, the real science of miracles, the end of disease, aging,
poverty and pollution

And we can use something as the following gene therapy that extend
lifespan for about 25 percent so that to be able to reach the Era of
Nanotech that could make humans immortal.

Read the following:

Chinese scientists develop gene therapy that could delay aging

And my previous thoughts so that to understand:

I have just posted the following:

Study Finds The Ageing Process Is Unstoppable, Despite Your Best Efforts

"A new study by an international collaboration of scientists from 14
countries and excerpts form the University of Oxford has now found, we
probably can’t slow the rate at which we get older due to biological
constraints. Researchers looked to examine the “invariant rate of
ageing” hypothesis, which suggests a species has a relatively fixed rate
of ageing from adulthood."

---

And here is how to solve the above problem:

Nanotech could make humans immortal by 2040, futurist says

Thank you,
Amine Moulay Ramdane.

Subject	Replies	Author
More of philosophy about China and about USA and about Exascale computers.. By: Amine Moulay Ramdane on Mon, 29 Nov 2021	0	Amine Moulay Ramdane

Save gas, don't use the shell.

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