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[YT] 18 Core CPUs!? - Intel Xeon E5 2699 v3 Processor Overclocking & Testing - Page 11

post #101 of 117
My Xeon sees that Cinebench score and immediately starts crying. I can only get 1135 out of it, and because this biostar board is horrid crap I dont even have the option for Bclock overclocking to squeeze another 145/165/190mhz out of it (base/all core/single core, all assuming 105mhz), as the onboard ethernet craps out at 102mhz and the board itself gets really flaky after 103.
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post #102 of 117
Linus has a new video up on Vessel. The build is still progress but there are two of these chips with two Titan X's... 72 freakin threads
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post #103 of 117
Quote:
Originally Posted by tomytom99 View Post

Yes, 40 vs. 32. The extra pins help reduce the heat at the headers, and also if the PSU uses separate rails for each, then there could be more safe power consumption.

Nevermind, I thought originally he was asking if the Supermicro boards that had two 8 pins had any similar effect to that of the MSI with two 8 pin connectors but I said afaik the only Supermicro boards with dual EPS are ones that have dual sockets, one for each CPU.
post #104 of 117
Quote:
Originally Posted by xlink View Post

There are interdependencies.
It's not a matter of the software being made proper. There are very real limits for which there is no easy work around. Imagine software being split into 10000 threads. This would be near some theoretically perfect level. If one of those threads takes 10x as long as the others... you'll be limited by the performance of that thread and your system will be lagging while waiting for it to execute.

http://en.wikipedia.org/wiki/Amdahl%27s_law

increasing the number of cores on a CPU does NOTHING to solve that. Better programming can't do much to solve this either. We basically need a complete paradigm shift.

How do this relate to Gustafson's Law?
https://en.wikipedia.org/wiki/Gustafson%27s_law
     
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post #105 of 117
Quote:
Originally Posted by Rookie1337 View Post

How do this relate to Gustafson's Law?
https://en.wikipedia.org/wiki/Gustafson%27s_law

They're interrelated. Gustafson's law is about solving bigger, more complex problems in similar time. Amdahl's law is about how quickly you can solve a set problem.

Gustafson's law is more of a best case scenario. Running a machine learning algorithm would fall more into this camp.
Running a physics simulation would fall somewhere between the two.
Imagine a tower made of bricks that is knocked over. Each brick might have its calculations done by a single core. There will come points where many cores are waiting for results from other calculations.
If you up the number of cores, you can stack make a bigger or more detailed tower(2 million bricks) and still have it run reasonably well. Adding more cores won't really improve performance for a small, simple tower(2 bricks).
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post #106 of 117
Quote:
Originally Posted by xlink View Post

They're interrelated. Gustafson's law is about solving bigger, more complex problems in similar time. Amdahl's law is about how quickly you can solve a set problem.

Gustafson's law is more of a best case scenario. Running a machine learning algorithm would fall more into this camp.
Running a physics simulation would fall somewhere between the two.
Imagine a tower made of bricks that is knocked over. Each brick might have its calculations done by a single core. There will come points where many cores are waiting for results from other calculations.
If you up the number of cores, you can stack make a bigger or more detailed tower(2 million bricks) and still have it run reasonably well. Adding more cores won't really improve performance for a small, simple tower(2 bricks).

To add.... Gustafson's Law really applies to problems that are consider "embarrassingly parallel". Problems that can be sub-divided into mutually independent parts.

In your example....
Sometimes it might be able to saw those bricks into smaller bricks after all.
Or... duplicate that small simple tower problem across a million cores and attempt to solve the stack probabilistically.
Once again...
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Once again...
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post #107 of 117
Quote:
Originally Posted by DuckieHo View Post

To add.... Gustafson's Law really applies to problems that are consider "embarrassingly parallel". Problems that can be sub-divided into mutually independent parts.

In your example....
Sometimes it might be able to saw those bricks into smaller bricks after all.
Or... duplicate that small simple tower problem across a million cores and attempt to solve the stack probabilistically.
Excellent clarification.

When you say solve probabilistically, would you be referring to essentially running out multiple possibilities and selecting the one which happens to be true in lieu of branch prediction?
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post #108 of 117
So essentially you can't break a sequential task infinitely into pieces and even if you could it wouldn't be of benefit because the pieces would be waiting in for the end of the precedent piece. But, I guess the thing I'm confused on in this thread there seems to be impression that people scoffed at the idea of a benefit to be had from running many of these task that can't be paralleled at the same time because each one now has their own core. Basically, sure you can't make a single threaded high compute process go faster with more cores (if I understand correctly), but you could run a whole bunch without each cache thrashing or borrowing cpu time from each other, right?
     
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post #109 of 117
Quote:
Originally Posted by Rookie1337 View Post

So essentially you can't break a sequential task infinitely into pieces and even if you could it wouldn't be of benefit because the pieces would be waiting in for the end of the precedent piece. But, I guess the thing I'm confused on in this thread there seems to be impression that people scoffed at the idea of a benefit to be had from running many of these task that can't be paralleled at the same time because each one now has their own core. Basically, sure you can't make a single threaded high compute process go faster with more cores (if I understand correctly), but you could run a whole bunch without each cache thrashing or borrowing cpu time from each other, right?

At the end that's what it comes down to. You could throw more cores at a handful of tasks, do calculations based on expected stochastic outcomes and whatnot but at the end of the day that fails to efficiently improve scaling.

So yes, you can do more things, more seamlessly. You can't do one thing more quickly. How one conceptualizes "thing" will get increasingly nuanced with time though. There are a lot of tradeoffs and no silver bullets in sight. In the near future, general consumers and gamers won't benefit much from additional cores. By the time they will, something better will be out which makes "future proofing" foolish.
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post #110 of 117
Back when I had my 5645s, I could push them from 2.4 up to 3.6, but that was on an SR-2 which was meant for OCing and pushing the BCLK. Could go from 100 to about 185Mhz to be stable, maybe 190. Eeked at 197 but couldn't ever get it stable at anything past that or crack 200 (which, x20 would make for a 4.0Ghz frequency).

Guess with these newer chips it's mostly the same. You're pretty limited in what you can do, generally.

I have an older Cinebench screenshot when these were done but it appears that the thousands points are added in the newer version. So my 18 points may equate to 18,000 in the newer release, which makes sense being 1.5x as fast as the other 12C/24T machine from Linus' video since that scored ~12,000 at 2.4Ghz.

So yeah that single CPU alone is ~25% faster than my dual hex core SR-2 was. Wow.

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