Nvidia Pascal GP100 GPU To Rock 4 TFLOPS Double Precision, 12 TFLOPS Single Precision Processing Power (techtimes.com) 45
New information emerged regarding Nvidia's Pascal GPU, covering the total compute performance of the much-anticipated FinFET-based chip. Based on a number of slides from an independent researcher, the Nvidia Pascal GPU100 features Stacked DRAM (1 TB/s) giving it as much as 12 TFLOPs of Single-Precision (FP32) compute performance. The flagship GPU is purportedly able to provide four TFLOPs of Double-Precision (FP64) compute performance as well.
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Nah, I am a real man and I get along fine with half-precision.
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actually it really depends on application. In the Machine Learning community, half-precision is quite popular! For all graphics purpose single precision is what you need. Only scientific computing really need double precision.
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For all graphics purpose single precision is what you need.
For many graphics applications, half-precision is good enough. FP16 isn't much faster to compute than FP32, but it is a big win for memory bandwidth, which is usually the performance chokepoint for GPUs.
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FP16 isn't much faster to compute than FP32, but it is a big win for memory bandwidth, which is usually the performance chokepoint for GPUs.
It used to be. This thing has stacked memory (called High Bandwidth Memory (HBM)) with an absurdly wide memory bus. With four stacks, the memory bus is 4096 bits wide, vs the typical 512 bits over 8 channels of GDDR5. HBM2, which Samsung started producing in volume a month ago, doubles the number of dies in the stacks, from 4 to 8, and doubles the throughput.
AMD's Zen is being built with the same memory interface. One supposes that a CPU operating on much less homogeneous data won't enjoy a bump the siz
Re: single precision is for marketing (Score:1, Interesting)
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Correction, for some scientific computing needs, double precision is a must. There are other fields where single precision is perfectly fine.
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True. In graphics single-precision is used because it is faster, but it means that some extra work is required to ensure loss of precision doesn't occur. Consider a flight simulator that wants precision of on millimeter over the circumference of the Earth. Single Precision Floating Point doesn't cut it, you have to use relative locations for rendering, you can't just use the full global coordinates you have. However, if the GPU is fast enough for double precision operations then you can do everything in
Top supercomputer was 1 TFLOP until late 2000 (Score:4, Interesting)
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real men don't need precision. only brute force.
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as much as 12 TFLOPs of Single-Precision (FP32) compute performance
Can someone tell me what this is in cores?
Quad SLI Supercomputer For The Desktop. (Score:5, Funny)
techtimes - 230 ad elements blocked and counting! (Score:2)
Shockwave flash has crashed after autoplaying an ad with music. Twice.
Can someone link to a real website?
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I see nothing, but I'm running Ghostery. Ghostery only detects 5 ad-networks, and one of 'm is the twitter button. The rest of the items seems harmless.
You may, as suggested by AC below, want to remove some malware from your system.
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Eew...
Yes, after a bit closer examination I clicked on one of the links in the ads that were reasonably well-behaved, and it led me straight into a number of sites registered at the nr. 1 destination for crooks and criminals - straight up fraudulent websites.
So since they apparently don't mind that criminals advertise on their site, they probably don't mind that some of them have "drive-by payloads" either. It's probably just a number that pop up irregularly. Nice...
That site is indeed best avoided.
For comparison (Score:3)
This new chip is potentially quite a large step up in raw compute performance. Their current flagship Titan X is pushing 6 TFLOPS of single-precision and 192 GFLOPS of double-precision.
They're clearly aiming high for 4K and VR performance here.
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Note that both the Titan and the Titan Z have better DP performance than the Titan X (1TFlops and 1.5 TFlops IIRC). I am hopping that they will stop crippling the DP on their "gaming" board though (or at least doing it to a lesser extent than the current 1/20~1/32x).
Also, it is nice to see that the global memory bandwidth will go 4x from this generation (~250GB/s).
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The Titan was 1.5 TFlops, while the Titan Black was 1.7 TFlops. The Z is listed at 2.7 TFlops, but it's two chips on a single card while the others single chip.
I'd also like to see their gaming cards get better DP performance, but I'd be very surprised if we actually got the reports 1/4x. The Titan was 1/3x.
Re:For comparison (Score:5, Interesting)
Those numbers make it look like they were using a 32x32 hardware multiplier-adder and the new one uses a 64x64. Multiplying is a great example of how a 2x increase in transistor density from Moore's law can result in something far greater than 2x real speed increase. To do a 64x64 multiply in an 8 bit cpu (like the 6809 which had an 8x8 multiply instruction) you would have to do 56 separate multiplies (for the significand) and then 16 sums before a number of other sums and shifts to get the exponent normalized. Each of those instructions would take 2 to 11 cpu cycles. A 16 bit hardware multiplier would reduce 56 mul operations to 16 and a 32 bit hardware multiplayer would reduce it to 4. The barrel multiplier is often the largest structure in the ALU part of even a modern CPU. They show up on photos of modern chips as the largest rectangle area that isn't cache or memory controllers.
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Note that Maxwell consciously screwed DP performance. You have to go back to Kepler for decent DP.
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None more TFLOPS (Score:4, Funny)
How many TFLOPS do I need to run the latest AAA games?
All of them.
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And how many to make em actually good?
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Depends on the game, doesn't it? With X-Plane and other sims, the answer is: ALL OF THEM! since you can make the flight models far more advanced, and also include more advanced radar simulation etc.
Obligitory (Score:2)
Can it run Crysis?
At 8K?
Just imagine (Score:2)
A full beowulf cluster of those!
Unrelated metrics (Score:2, Insightful)
"Nvidia Pascal GPU100 features Stacked DRAM (1 TB/s) giving it as much as 12 TFLOPs of Single-Precision (FP32) compute performance"
Theoretical memory bandwidth has no impact on theoretical floating point performance.
It would've been better to say something about the core count and clock.
FLOPS, not FLOPs (Score:3)
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FLoating-point Operations Per Second. It makes no sense to speak of one FLOP, two FLOPs, as the S is not for plural.
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