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interests / soc.culture.china / More of my philosophy about EUV (Extreme ultraviolet lithography) and about China and about Photonic chips and about graphene chips..

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o More of my philosophy about EUV (Extreme ultraviolet lithography) andWorld-News2100

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More of my philosophy about EUV (Extreme ultraviolet lithography) and about China and about Photonic chips and about graphene chips..

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From: m1...@m1.com (World-News2100)
Newsgroups: soc.culture.china
Subject: More of my philosophy about EUV (Extreme ultraviolet lithography) and
about China and about Photonic chips and about graphene chips..
Date: Mon, 29 Nov 2021 18:53:36 -0500
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 by: World-News2100 - Mon, 29 Nov 2021 23:53 UTC

Hello,

More of my philosophy about EUV (Extreme ultraviolet lithography) and
about China and about Photonic chips and about graphene chips..

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

I invite you to read the following article that says that China is
working on photonic chips and on graphene chips:

https://inf.news/en/tech/339cd07fe2ecab1fc52fe7c88b7e8e8a.html

But i think that the above article is making a mistake, since it is
saying the following:

"Although the current electronic chips have come to the 7nm/5nm process,
it will be more and more difficult to rely on advanced technology to
improve the performance and power consumption of the chips."

I think it is not so true, since read the following that says
that extreme ultraviolet (EUV) lithography equipment will extend the
longevity of Moore’s Law for "at least" ten years:

https://www.design-reuse.com/news/50683/moore-law-euv.html

And i have also read more on internet and i think that extreme
ultraviolet (EUV) lithography equipment can 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.

Read more here:

https://futurism.com/we-may-finally-have-a-way-of-mass-producing-graphene

So the following invention will be possible:

Physicists Create Microchip 100 Times Faster Than Conventional Ones

Read more here:

https://interestingengineering.com/graphene-microchip-100-times-fast?fbclid=IwAR3wG09QxtQciuku4KUGBVRQPNRSbhnodPcnDySLWeXN9RCnvb0GqRAyM-4

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

Read more here:

https://interestingengineering.com/graphene-microchip-100-times-fast?fbclid=IwAR3wG09QxtQciuku4KUGBVRQPNRSbhnodPcnDySLWeXN9RCnvb0GqRAyM-4

More of my philosophy of why i am posting about Exascale supercomputers
and about AI and about exponential progress and more..

I think i am smart, and as you have just noticed i am
talking below about Exascale supercomputers and about AI and
and about exponential progress and more, and as you have just noticed
i am talking the language of smart abstractions, that means
i am abstracting smartly so that you are able to understand
efficiently and so that you are able to go fast in sophisticated
learning, and it is my kind of pedagogy that i think is an more
efficient pedagogy, for example look at my following thoughts in the
following link about how i am also abstracting smartly what is smartness
and you will notice my kind of pedagogy, read it here:

https://groups.google.com/g/alt.culture.morocco/c/Wzf6AOl41xs

More of philosophy about China and Exascale supercomputers..

China has already reached Exascale - on two separate systems

Read more here:

https://www.nextplatform.com/2021/10/26/china-has-already-reached-exascale-on-two-separate-systems/

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

Read more here:

https://www.anandtech.com/show/17037/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

Read more here so that to understand:

https://www.anl.gov/article/preparing-for-exascale-argonnes-aurora-supercomputer-to-drive-brain-map-construction

Also Exascale supercomputers will allow researchers to tackle problems
which were impossible to simulate using the previous generation of
machines, due to the massive amounts of data and calculations involved.

Small modular nuclear reactor (SMR) design, wind farm optimization and
cancer drug discovery are just a few of the applications that are
priorities of the U.S. Department of Energy (DOE) Exascale Computing
Project. The outcomes of this project will have a broad impact and
promise to fundamentally change society, both in the U.S. and abroad.

Read more here:

https://www.cbc.ca/news/opinion/opinion-exascale-computing-1.5382505

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.

Read more here:

https://futurism.com/we-may-finally-have-a-way-of-mass-producing-graphene

So the following invention will be possible:

Physicists Create Microchip 100 Times Faster Than Conventional Ones

Read more here:

https://interestingengineering.com/graphene-microchip-100-times-fast?fbclid=IwAR3wG09QxtQciuku4KUGBVRQPNRSbhnodPcnDySLWeXN9RCnvb0GqRAyM-4

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

Read more here:

https://interestingengineering.com/graphene-microchip-100-times-fast?fbclid=IwAR3wG09QxtQciuku4KUGBVRQPNRSbhnodPcnDySLWeXN9RCnvb0GqRAyM-4

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?

Read more here:

https://www.anandtech.com/show/16930/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."


Click here to read the complete article

interests / soc.culture.china / More of my philosophy about EUV (Extreme ultraviolet lithography) and about China and about Photonic chips and about graphene chips..

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