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Old 2017-12-08, 15:08   #1
tServo
 
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Default Nvidia announces Volta based Titan V

Available today at Nvidia's online store for a mere 3000 US dollars. It has 12GB HBM2 memory, 5120 Cuda cores, blower style cooling shroud, and 1/2 DP for 6.9 teraflops of DP compute power !
It sucks a tiny 250W of power. Most impressive to me is that it's based on 12 nanometer fab process !
Sorry, guys, but there is a limit of 2 boards per order.

Anandtech has more details :
https://www.anandtech.com/show/12135...r-3000-dollars
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Old 2017-12-08, 16:39   #2
firejuggler
 
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tomshardware link
http://www.tomshardware.com/news/nvi...ops,36085.html

Also is the memory is 3072-bit wide instead of 4096 for the tesla. how does that affect performance?
is it 33% *slower* or did i misunderstood something again?
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Old 2017-12-08, 16:41   #3
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Quote:
Originally Posted by tServo View Post
1/2 DP for 6.9 teraflops of DP compute power !
Bandwidth of 652.8 GB/s compared to, say, 484 GB/s of 1080 Ti. It will probably the fastest LL tester by quite some margin, but not worth the money. Other, less bandwidth-dependent, workloads will benefit.
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Old 2017-12-08, 17:52   #4
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Seems to be aimed at the low-end machine learning community with the Tensor cores. Not sure it's a good fit for our crunching needs.
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Old 2017-12-08, 19:21   #5
tServo
 
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Quote:
Originally Posted by CRGreathouse View Post
Seems to be aimed at the low-end machine learning community with the Tensor cores. Not sure it's a good fit for our crunching needs.
Nvidia has made it clear that this is the community this board is aimed at.
The tensor cores do FP16 multiplies into an FP32 accumulator.
Still, for other purposes, it DOES have lots of DP power.

Last fiddled with by tServo on 2017-12-08 at 19:21
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Old 2017-12-09, 04:41   #6
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FP64 looks impressive, but the gain there will be bottlenecked by memory for LL/PRP.

Nevertheless, I'm curious by the time-per-iteration one gets for $3K (at 4M FFT size, let's say).
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Old 2017-12-09, 19:23   #7
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Quote:
Originally Posted by preda View Post
Nevertheless, I'm curious by the time-per-iteration one gets for $3K (at 4M FFT size, let's say).
Just scale the available memory bandwidth: http://mersenneforum.org/showpost.ph...postcount=2652

Oliver
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Old 2017-12-10, 02:16   #8
preda
 
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Quote:
Originally Posted by TheJudger View Post
Just scale the available memory bandwidth: http://mersenneforum.org/showpost.ph...postcount=2652

Oliver
So I'd guess between 0.8ms/it - 1ms/it at 4M FFT.. ?

Last fiddled with by preda on 2017-12-10 at 02:16
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Old 2017-12-10, 16:04   #9
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Quote:
Originally Posted by preda View Post
So I'd guess between 0.8ms/it - 1ms/it at 4M FFT.. ?
I would place my bet close to 1ms/it for 4M FFT.
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