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sohleks

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Message 67294 - Posted: 3 Apr 2018, 6:10:08 UTC

I wonder how the pretty new 3,000 us dollar Titan V gpu does with these milkyway units 😅

Does it even work for these yet? Anyone even have one? 😅

I heard the milkyway project gpu work units relies on your gpu's double precision processing (so... computing 64 bit numbers?). And I also heard that consumer gaming gpu are typically cut pretty down on the hardware for that instead opting for mostly regular precision 32 bit cuda cores. Probably because the 32 bit cores need less space and power and video games would rather have more cores and more overall numbers that are fine enough for their purpose (my assumption here)

I also heard that the amd radeon 290 series and similar gpu cards have really high double precision compute STILL (compared to most consumer gpu). More than anything nvidia on the regular gtx line. And that you can see computers running those cards at the top of the lists here.

I'm just merely looking at numbers from wikipedia...

rx 200: https://en.wikipedia.org/wiki/AMD_Radeon_Rx_200_series#Desktop_models_2
rx 500: https://en.wikipedia.org/wiki/AMD_Radeon_500_series#Desktop_&_Laptop
rx vega: https://en.wikipedia.org/wiki/AMD_RX_Vega_series#Desktop
gtx 1000: https://en.wikipedia.org/wiki/GeForce_10_series#GeForce_10_(10xx)_series

And here is the new volta titan V. And it's wayyyy more.
https://en.wikipedia.org/wiki/Volta_(microarchitecture)#Products

So apparently it has plenty of double precision power. Ten times more than any of the stuff above. As apparently the titan line WAS supposed to be a cross between a consumer gaming card and a "professional card" (tho apparently the last few titan entries betrayed that!)

Sooo.. Numbers like that should probably be taken with a grain of salt. But if it could run that much faster I imagine it would run through a couple milkyway units in only a minute! Sounds nutty.
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Profile mikey
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Message 67296 - Posted: 3 Apr 2018, 12:44:32 UTC - in response to Message 67294.  

I wonder how the pretty new 3,000 us dollar Titan V gpu does with these milkyway units 😅

Does it even work for these yet? Anyone even have one? 😅

I heard the milkyway project gpu work units relies on your gpu's double precision processing (so... computing 64 bit numbers?). And I also heard that consumer gaming gpu are typically cut pretty down on the hardware for that instead opting for mostly regular precision 32 bit cuda cores. Probably because the 32 bit cores need less space and power and video games would rather have more cores and more overall numbers that are fine enough for their purpose (my assumption here)

I also heard that the amd radeon 290 series and similar gpu cards have really high double precision compute STILL (compared to most consumer gpu). More than anything nvidia on the regular gtx line. And that you can see computers running those cards at the top of the lists here.

I'm just merely looking at numbers from wikipedia...

rx 200: https://en.wikipedia.org/wiki/AMD_Radeon_Rx_200_series#Desktop_models_2
rx 500: https://en.wikipedia.org/wiki/AMD_Radeon_500_series#Desktop_&_Laptop
rx vega: https://en.wikipedia.org/wiki/AMD_RX_Vega_series#Desktop
gtx 1000: https://en.wikipedia.org/wiki/GeForce_10_series#GeForce_10_(10xx)_series

And here is the new volta titan V. And it's wayyyy more.
https://en.wikipedia.org/wiki/Volta_(microarchitecture)#Products

So apparently it has plenty of double precision power. Ten times more than any of the stuff above. As apparently the titan line WAS supposed to be a cross between a consumer gaming card and a "professional card" (tho apparently the last few titan entries betrayed that!)

Sooo.. Numbers like that should probably be taken with a grain of salt. But if it could run that much faster I imagine it would run through a couple milkyway units in only a minute! Sounds nutty.


Sounds to me like you should get one and find out!! 3 thousand dollars is WAAAY beyond my budget for gpu's but it sure would be nice to have one and find out how it works here!!
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Message 67299 - Posted: 3 Apr 2018, 17:12:35 UTC - in response to Message 67294.  

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Profile Joseph Stateson
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Message 67375 - Posted: 20 Apr 2018, 14:53:35 UTC - in response to Message 67296.  
Last modified: 20 Apr 2018, 14:55:16 UTC


Sounds to me like you should get one and find out!! 3 thousand dollars is WAAAY beyond my budget for gpu's but it sure would be nice to have one and find out how it works here!!


nVidia boards seem to hold their value, especially those Titans. OTOH those AMD "professional" workstation boards have had huge drops in price especially the servers. One can easily get a new, unused s9150 for under $500 whereas the original MSRP was 10x as much. I cannot find the original article but I read last week where some big "project" fell through in China and someone was trying to unload several lots of S9150. Probably caused by bitcoin losing half its value.

Be nice if the Titan would drop by 10x but I suspect it will never be seen on eBay for $300 except for "parts"
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Message 67377 - Posted: 20 Apr 2018, 16:50:45 UTC

Yep I got my S9150 for $340 shipped on ebay which works out to $0.13 per GFLOP (@ 10.77 GFLOPS per Watt)

TITAN V is $0.40 per GFLOP @ 29.80 GFLOPS per Watt
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Message 67443 - Posted: 9 May 2018, 13:31:31 UTC - in response to Message 67377.  


But if it could run that much faster I imagine it would run through a couple milkyway units in only a minute! Sounds nutty.


On a Tesla v100, which is pretty much the same underlying core but the 24/7 server version, I was averaging a WU in under 6 seconds (around 36ish seconds per WU running 7 at a time). I would imaging the Titan V to be similar. It has less memory then a v100 so you can only run 6 WU without errors but it can probably do those 6 slightly faster so the average probably wouldn't change much.


Yep I got my S9150 for $340 shipped on ebay which works out to $0.13 per GFLOP (@ 10.77 GFLOPS per Watt)

TITAN V is $0.40 per GFLOP @ 29.80 GFLOPS per Watt


Yeah....at $3k there are better options. For 3k you could setup a 4 GPU machine with S9150s. Powering it wouldn't be fun though.
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