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[Xbit] Intel Shows Off "Knights Corner" MIC Compute Accelerator, Beats Nvidia's Fermi.

post #1 of 18
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Intel Corp. on Tuesday demonstrated its code-named "Knights Corner" compute accelerator for highly-parallel workloads that is made using 22nm process technology and will be Intel's first commercial product based on many integrated cores (MIC) architecture. The KNC accelerator can deliver substantially higher horsepower that existing compute cards.

Intel's Knights Corner accelerator has over 50 cores and delivers 1TFLOPS of double precision floating point performance, as measured by the double-precision, general matrix-matrix multiplication benchmark (DGEMM). Currently the most powerful special purpose highly-parallel accelerator is Nvidia Tesla 2090, which boasts with 665GFLOPS (0.665TFLOPS) of peak performance, which is considerably below peak performance of Intel's KNC.

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post #2 of 18
how well does it work in the mainstream world is my main Q
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post #3 of 18
Unreleased demo sample with specs better than a year old released product, who would have guess such a turn of events.

Then next year Kepler based Teslas will come out and beat it easily. Interesting tho what will come out of this in the long run.
post #4 of 18
Intel beats a 40nm chip with a 22nm chip (remember that the "3d" transistors give the equivalence of another die shrink).

This just shows that enough die shrinks can make a worse product competitive. A current Fermi processor would keep it's performance while dropping power by several orders of magnitude if it were moved to an Intel 22nm fab and would handily stomp Knights corner in power/performance. With a difference of 350 GFLOPS, there is a good chance that a 28nm Fermi will have better performance and power while still being on a larger fab.

x86 isn't designed for massively parallel computing, all Intel is showing is that enough force can push a square peg into a round hole.
post #5 of 18
Quote:
Originally Posted by hajile View Post

Intel beats a 40nm chip with a 22nm chip (remember that the "3d" transistors give the equivalence of another die shrink).

This just shows that enough die shrinks can make a worse product competitive. A current Fermi processor would keep it's performance while dropping power by several orders of magnitude if it were moved to an Intel 22nm fab and would handily stomp Knights corner in power/performance. With a difference of 350 GFLOPS, there is a good chance that a 28nm Fermi will have better performance and power while still being on a larger fab.

x86 isn't designed for massively parallel computing, all Intel is showing is that enough force can push a square peg into a round hole.
it is still impressive.

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post #6 of 18
Waiting for deeeebs to cluster 8+ of these chips to fold.
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post #7 of 18
gimme gimme gimme gimme!

Can you put one in my Galaxy S?

Can You Fold with it?? No it cannot play Crysis!
Edited by StormX2 - 11/16/11 at 6:07am
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post #8 of 18
Quote:
Originally Posted by hajile View Post

Intel beats a 40nm chip with a 22nm chip (remember that the "3d" transistors give the equivalence of another die shrink).
This just shows that enough die shrinks can make a worse product competitive. A current Fermi processor would keep it's performance while dropping power by several orders of magnitude if it were moved to an Intel 22nm fab and would handily stomp Knights corner in power/performance. With a difference of 350 GFLOPS, there is a good chance that a 28nm Fermi will have better performance and power while still being on a larger fab.

Don't forget about Intel's drivers thumb.gif
post #9 of 18
Yeah but can Intel get this to the market in a timely manner? If 'Knight's Corner' isnt available in 6months time I'm guessing the next generation Tesla will have comparable performance. I'm skeptical after Larrabee.
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post #10 of 18
Quote:
Originally Posted by BinaryDemon View Post

Yeah but can Intel get this to the market in a timely manner? If 'Knight's Corner' isnt available in 6months time I'm guessing the next generation Tesla will have comparable performance. I'm skeptical after Larrabee.

Now that you mention larrabee, I'm pretty sure this is one of the consecuences of that defunct proyect.

And as they say in teh article, you can use existing applications and non-propietary programming languages to benefit from this chip, meaning you don't need to learn hellish cuda to get a high performance application running.
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