[HPCWire] NVIDIA’s TITAN RTX Helps Researchers More Quickly Detect Osteoporosis - Overclock.net - An Overclocking Community

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[HPCWire] NVIDIA’s TITAN RTX Helps Researchers More Quickly Detect Osteoporosis

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post #1 of 22 (permalink) Old 01-31-2019, 08:00 AM - Thread Starter
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[HPCWire] NVIDIA’s TITAN RTX Helps Researchers More Quickly Detect Osteoporosis

Source: https://www.hpcwire.com/off-the-wire...-more-quickly/

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A team of researchers at Dartmouth College are reporting promising results after swapping their Titan Xp GPU for the TITAN RTX. Running their existing code on the new GPU, the team achieved an 80% performance increase when training a pair of neural networks to detect osteoporotic vertebral fractures.

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post #2 of 22 (permalink) Old 01-31-2019, 08:30 AM
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post #3 of 22 (permalink) Old 01-31-2019, 10:41 AM
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Not dissing the researchers, but why did they run the test with 2 different systems? And how valid are the results?

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post #4 of 22 (permalink) Old 01-31-2019, 11:02 AM
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But shouldn't the Titan rtx be like 80% faster without tensor cores?

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post #5 of 22 (permalink) Old 01-31-2019, 11:02 AM - Thread Starter
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Quote: Originally Posted by huzzug View Post
Not dissing the researchers, but why did they run the test with 2 different systems? And how valid are the results?
The CPU clock speed might shave a few minutes off of the test but they were limited by batch sizes due to the VRAM available. They were probably using a batch size of 64 with the Titan Xps since they don't support memory pooling. Now with 48GB of memory they were able to up the batch size to either 128 or 256. I'd like them to re-run the test with a pair of Tesla P40s because the bottleneck was VRAM.

If they're able to use FP16 using Tensor cores they can probably drop that time down to two hours compared to four.

Quote: Originally Posted by ozlay View Post
But shouldn't the Titan rtx be like 80% faster without tensor cores?
The Titan RTX is around 46.8% faster than the the GTX 1080 Ti at FP32.

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post #6 of 22 (permalink) Old 01-31-2019, 11:21 AM
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Not to make light of the research but maybe the video card competition will result in medical scans trying to outdo each other to be one or two seconds faster. Wait there is no competition, except for same brand rivalries.
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post #7 of 22 (permalink) Old 01-31-2019, 11:25 AM - Thread Starter
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Quote: Originally Posted by PharmingInStyle View Post
Not to make light of the research but maybe the video card competition will result in medical scans trying to outdo each other to be one or two seconds faster. Wait there is no competition.
There is already competition

https://www.amd.com/en/corporate-res...edical-imaging

https://www.nvidia.com/en-us/healthcare/

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post #8 of 22 (permalink) Old 01-31-2019, 01:08 PM
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This is, what the, who even cares and why is this news?

Haven't they been using cards for research for a long time? And why did these scientists get this card and not the professionally loaded ones? They were using Titan Xps before that? Are they poor or something? I mean the kind of research they're doing would demand good funding. Is the college, better yet pharma broke?

Did Nvidia sponsor this? This whole thing stinks from here.

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post #9 of 22 (permalink) Old 01-31-2019, 02:17 PM - Thread Starter
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Quote: Originally Posted by Gunderman456 View Post
This is, what the, who even cares and why is this news?

Haven't they been using cards for research for a long time? And why did these scientists get this card and not the professionally loaded ones? They were using Titan Xps before that? Are they poor or something? I mean the kind of research they're doing would demand good funding. Is the college, better yet pharma broke?

Did Nvidia sponsor this? This whole thing stinks from here.
"The professionally loaded ones" don't have any benefit for these researchers. The benefits a Tesla v100 32GB has over a Titan RTX is slightly more memory, FP64(Not used for deep learning) and ECC memory(Which they would disable with nvidia smi) which they don't need. It would also cost $7200 more than a Titan RTX. From the look of their new system they are using a workstation not a rack-able chassis which means they need an actively cooled card if they are planning to be in the same room as the machine. Now you're looking at a card that's $8200(Quadro GV100) more than a Titan RTX which isn't worth it. For a single Quadro GV100 they can buy 4 Titan RTX cards and each pair will have 48GBs of effective memory.


The Titan has always been the researcher go to card.

https://blogs.nvidia.com/blog/2018/1...itan-giveaway/
https://blogs.nvidia.com/blog/2016/0...deep-learning/
https://blogs.nvidia.com/blog/2017/0...ity-challenge/
https://blogs.nvidia.com/blog/2018/0...earchers-cvpr/

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post #10 of 22 (permalink) Old 02-01-2019, 07:19 AM
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Quote: Originally Posted by WannaBeOCer View Post

Finally, a useful application for RTX cards has been found because there sure as hell wasn't any in the gaming world !!
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