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US develops supercomputer to beat China's Tianhe-2

Can you make 5th gen fighter jet? There are still many things India cant do like soft landing on moon, make a Large sized continental cargo plane and MIRV miniature nuke warhead and super heavy rocket.

Well are not wrong but you are not right either
We can do all those things but due to slow processing power it will take more power
Anyways we are a poor country which needs to prioritise its needs & building no 1 supercomputer ( though it is important) isint there yet

LOL.. Landed on moon? More like crash landing on moon surface. Do you know what is soft landing? It is easy to crash land but safely land on a moon is an difficult art few can master. Agni 5 is MIRV capable but we have no evidence India has produced workable miniature MIRV. Again, its a difficult art few can succeed. And you haven even send a man to space yet with yr technology or own space craft.

The correct term is Hard landing & I think our second moon mission will achieve that
Fingers crossed
 
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There will always be someone playing catch up, in the same country or not. You release a supercomputer then the next one being made takes a few years then its top then the cycle repeats.
 
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First they block Intel‘s sales to China,then they beat Tianhe-2. What's the point of doing this?
 
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Well are not wrong but you are not right either
We can do all those things but due to slow processing power it will take more power
Anyways we are a poor country which needs to prioritise its needs & building no 1 supercomputer ( though it is important) isint there yet



The correct term is Hard landing & I think our second moon mission will achieve that
Fingers crossed

Do it first, then come brag.

Could, should, would are useless opinions.
 
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First they block Intel‘s sales to China,then they beat Tianhe-2. What's the point of doing this?

blocking thing was purely for show, since it specifically blocks the intel's processors for the supercomputer but not anything else in china, so a university or a company could order 4000 for purely "academic" purposes and once in country the US has no say in where they go.

Tell me some use case in ANY field of science which can be done in say the fastest supercomputer (which is Tianhe -2 ?) but not in the second or third fastest one ? If the first one take an hour probably the second fastest one will take minutes more. At those humongous scale of processing power record books hardly matter rather we are investing in engg streams which specialize in leveraging those computing power in diff aspects of everyday life !

not quite true, it also depends on how good the software is.

but lets say the software doesnt matter,
TH-2 has almost twice the computing power of #2, so for work that takes a month on TH-2 to do, its take #2, 2 months, twice as fast is not an insignificant improvement.
 
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first thing comes to my mind is the brute forcing, probably that's how they manage to get in US's DB for all military tech in shorter time frame hahaha

there is also 'possibility' their no1 exist already before US announce their fastest supercomp.
 
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Tell me some use case in ANY field of science which can be done in say the fastest supercomputer (which is Tianhe -2 ?) but not in the second or third fastest one ? If the first one take an hour probably the second fastest one will take minutes more. At those humongous scale of processing power record books hardly matter rather we are investing in engg streams which specialize in leveraging those computing power in diff aspects of everyday life !
There are none.

Like it or not, the supercomputer race is, to put it bluntly, more about bragging rights than for any scientific purposes outside of extremely esoteric subjects like hurricane analyses, nuclear explosion simulations, or calculating earthquake propagation. Here is the kicker -- designing a 'stealth' aircraft does not require a supercomputer.

» Supercomputing vs. Distributed Computing: A Government Primer
The advantage of supercomputers is that since data can move between processors rapidly, all of the processors can work together on the same tasks. Supercomputers are suited for highly-complex, real-time applications and simulations.
The phrase 'real-time' does not mean at the immediate moment. It mean calculating and predicting relationships between factors as they occurs, whether those relationships are simulated (at anytime) or is actually happening now like the real hurricane bearing down on your position. Obviously, we cannot detonate a nuclear explosive device just to observe, experiment, or take measurements. So simulation is the next best thing and the more accurate the data inputs, the more accurate the simulation. Same for weather phenomenons.

There is a difference between a 'supercomputer' and 'supercomputing' capabilities. Regarding the source above, distributed computing is a 'supercomputer' of sorts, or rather it is an aggregate of many many 'weaker' contributors into a 'supercomputing' architecture.

For our 'stealth' aircraft, can a 'supercomputer' help ? Absolutely. The more complex a body, the greater the interactions between many diffracted/reflected signals from many structures. But unlike a nuclear explosion or a hurricane, this complex body can be broken up into many discrete smaller structures where those interactions are lesser in complexity and quantity.

For example...We can assign a 'regular' computer to calculate the diffracted/reflected signal paths off a wing, mathematically 'freeze' those paths, and virtually plug them into the fuselage to see how those signals affects the fuselage. The 'supercomputing capabilities' of distributed computing is better financially speaking. That does not mean that 'regular' computer is anything from your local Joe's PC Shack. That 'regular' computer is custom designed and can run into the four, five, or even six figures price range.

Further...Unlike a nuclear explosion or a hurricane which are unitary events, an aircraft is a composite of many events, such as the fuselage, the wings, or the cockpit. The items are often finished at different times throughout the entire project, then assembled together. So a 'supercomputer' to analyze the small UHF antenna's RCS is overkill when a 'regular' computer will do just fine. The 'supercomputer' can do the job in a couple milliseconds, of course, but then the UHF antenna will be sitting on the shelf waiting for final assembly on the fuselage.

So take these contests with a grain of salt.
 
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TH-2 has almost twice the computing power of #2, so for work that takes a month on TH-2 to do, its take #2, 2 months, twice as fast is not an insignificant improvement.

yeah I am not talking of bragging ... tell me the real world use case which takes one complete month on tianhe 2. I don't think there are any at the moment !
 
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yeah I am not talking of bragging ... tell me the real world use case which takes one complete month on tianhe 2. I don't think there are any at the moment !

thats not the point, no one is talking about bragging or anything, it doesnt have to be a singular task that takes a month or any specific amount of time, these supercomputers generally run many different tasks, if it cant be run parallel then they are scheduled one after the other, twice as fast=twice as much done(<-my main point), publically TH2 is used for everything from oil exploration, weather simulation, science research(such as protein folding etc) and according to the US, nuclear research.
 
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There will always be someone playing catch up, in the same country or not. You release a supercomputer then the next one being made takes a few years then its top then the cycle repeats.

That's true, and has been happening all the way in history.

Computing speed increases exponentially, it has increased almost 1,000,000-times in the past 12 years. Not just the one fastest, but all supercomputers say the Top 500 will become faster, it's natural for mankind to keep R&D and make further advancement. Faster, stronger, like sports. The only question is which country is likely to do it in the next phase, China? US? or Japan?

Rapid growth of supercomputers performance, based on data from top500.org site. The logarithmic y-axis shows performance in GFLOPS.
BLUE: Combined performance of 500 largest supercomputers
RED: Fastest supercomputer
YELLOW: Supercomputer on 500th place

supercomputers-history-svg-png.211177
 
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thats not the point, no one is talking about bragging or anything, it doesnt have to be a singular task that takes a month or any specific amount of time, these supercomputers generally run many different tasks, if it cant be run parallel then they are scheduled one after the other, twice as fast=twice as much done(<-my main point), publically TH2 is used for everything from oil exploration, weather simulation, science research(such as protein folding etc) and according to the US, nuclear research.

Apologies... I didn't mean bragging in literal sense. It maybe twice as fast but the CPUs won't be working at full capacity for all simulations is it ? The simulations should be adequately programmed to make use of the computing power !
 
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Apologies... I didn't mean bragging in literal sense. It maybe twice as fast but the CPUs won't be working at full capacity for all simulations is it ? The simulations should be adequately programmed to make use of the computing power !

yes thats why i said earlier that software is also an incredibly important (and lesser known) part of supercomputering.
however comparatively little is known about software because unlike hardware there isn't a simple number to look up, in fact one set of routines may work faster for one type of computation but slower in others hence its far harder to figure out which is "better"
 
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Tianhe-2 can easily be beat by the U.S or even Japan and Europe this year!!


even assuming Tianhe-2 is upgraded to 100 Pflops (which I doubt it'll reach that)


http://wccftech.com/nvidia-pascal-tesla-p100-gp100-gpu/


Tesla P100=5.3 Tflops comared to Tianhe-2 Xenon Phi 1 Tflops :eek: why wait for Volta when Pascal got the power now :enjoy:

Nvidia already showing it's power for the DGX-1

http://wccftech.com/nvidia-pascal-dgx-1-supercomputer/

170 Teraflops half-precision or 53 Tflopls double-precision


this systems costs $130,000


all we gotta do is replace the K20X (1.3TF) with P100 (5.3TF) that's a 4 times more powerful.


18688 times 5.3 TFLOPS= 99 PFLOPS

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Tianhe-2 can easily be beat by the U.S or even Japan and Europe this year!!


even assuming Tianhe-2 is upgraded to 100 Pflops (which I doubt it'll reach that)


http://wccftech.com/nvidia-pascal-tesla-p100-gp100-gpu/


Tesla P100=5.3 Tflops comared to Tianhe-2 Xenon Phi 1 Tflops :eek: why wait for Volta when Pascal got the power now :enjoy:

Nvidia already showing it's power for the DGX-1

http://wccftech.com/nvidia-pascal-dgx-1-supercomputer/

170 Teraflops half-precision or 53 Tflopls double-precision


this systems costs $130,000


all we gotta do is replace the K20X (1.3TF) with P100 (5.3TF) that's a 4 times more powerful.


18688 times 5.3 TFLOPS= 99 PFLOPS

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I don't think it's a supercomputer. It's a graphics card?

@xunzi
 
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