Slashdot Mirror
Nvidia Pascal GP100 GPU To Rock 4 TFLOPS Double Precision, 12 TFLOPS Single Precision Processing Power (techtimes.com)
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.
Stick these in a dual processor 18 core Xeon board with some nice fiber channel flash storage and then we can really play some solitaire.
Shockwave flash has crashed after autoplaying an ad with music. Twice.
Can someone link to a real website?
Nah, I am a real man and I get along fine with half-precision.
Everything I write is lies, read between the lines.
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.
How many TFLOPS do I need to run the latest AAA games?
All of them.
You are welcome on my lawn.
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.
Therefore, by the (faulty) logic you're using, you're just a cow with a keyboard - osu-neko (2604)
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.
I run Ghostery as well and I paused the blocking to test it out. At least one of the initial networks is responsible for loading other networks which seem to load other crap in turn. It didn't take more than 10 seconds before the count was over 100. At that point, stuff started auto-playing and making noise so I shut the tab, but I wouldn't be surprised if more shit kept getting pulled in. I don't know which is the bad apple, but it's pretty damned clear that it's out of control.
Can it run Crysis?
At 8K?
A full beowulf cluster of those!
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.
"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.
Correction, for some scientific computing needs, double precision is a must. There are other fields where single precision is perfectly fine.
It is amazing to recall that the world's top supercomputer ASCI Red from 1997 to 2000 was only capable of just over 1 TFLOP.
FLoating-point Operations Per Second. It makes no sense to speak of one FLOP, two FLOPs, as the S is not for plural.
Avantslash: low-bandwidth mobile slashdot.
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 global coordinates (eg.unmodified WGS-84).
Graphics will probably always choose the extra speed of single precision over the ease of use of double. But the advent of faster and faster consumer grade cards like this might start to change that for some applications. The competition between NVidia and AMD (and to a lesser extend, Intel) really benefits consumers and developers. The performance of this card is great news.
real men don't need precision. only brute force.
as much as 12 TFLOPs of Single-Precision (FP32) compute performance
Can someone tell me what this is in cores?
SJW's don't eliminate discrimination. They just expropriate it for themselves.
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 size of the 4X gain between the Titan double precision and this thing's double precision performance, but it should be at least double. Combined with their 40% gain in instructions per clock over their previous generation, and for a couple of months at the end of 2016, AMD might actually be ahead of Intel. It might even last longer than that, if Intel is smart enough to drag their feet before introducing their own stacked memory CPU. AMD needs the life support.
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.
Therefore, by the (faulty) logic you're using, you're just a cow with a keyboard - osu-neko (2604)
Funny how nvidia won't share anything or help the market but they'll take everyone else's tech and use it lol. I want karma to catch up to nvidia so maybe they'll think twice about trying to pull one or charge high prices on its customers again. Only reason customers needed the new 900 series is because they pulled some seriously shady stuff with the studios.