New NVIDIA Tesla GPU Smashes World Record in Scientific Computation

btarunr · May 17, 2011, 01:09 PM

NVIDIA today unveiled the Tesla M2090 GPU, the world's fastest parallel processor for high performance computing. In addition, the Tesla M2090 GPU achieved the fastest-ever performance in a key measure of scientific computation. Equipped with 512 CUDA parallel processing cores, the Tesla M2090 GPU delivers 665 gigaflops of peak double-precision performance, enabling application acceleration by up to 10x compared to using a CPU alone.

In the latest version of AMBER 11, one of the most widely used applications for simulating behaviors of biomolecules, four Tesla M2090 GPUs coupled with four CPUs delivered record performance of 69 nanoseconds of simulation per day. The fastest AMBER performance recorded on a CPU-only supercomputer is 46 ns/day.

"This is the fastest result ever reported. With Tesla M2090 GPUs, AMBER users in university departments can obtain application performance that outstrips what is possible even with extensive supercomputer access," said Ross Walker, assistant research professor at the San Diego Computer Center, and principle contributor to the AMBER code.

The Tesla M2090 GPU will be available in servers such as the new HP ProLiant SL390 G7 4U server. As part of the SL6500 Scalable System of HP server solutions, optimized for scale-out and HPC market segments, the SL390 family was purpose built for hybrid computing environments that combine GPUs and CPUs.

The SL390 G7 4U server incorporates up to eight Tesla M2090 GPUs in a half-width 4U chassis and, with a configuration of eight GPUs to two CPUs, offers the highest GPU-to-CPU density on the market. The system is ideally suited for applications ranging from quantum chemistry and molecular dynamics to seismic processing and data analytics.

"Clients running intensive data center applications require systems that can process massive amounts of complex data quickly and efficiently," said Glenn Keels, director of marketing, Hyperscale business unit, HP. "The decade long collaboration between HP and NVIDIA has created one of the industry's fastest CPU to GPU configurations available, delivering clients the needed processing power and speed to handle the most complex scientific computations."

In addition to AMBER, the Tesla M2090 GPU is ideally suited to a wide range of GPU-accelerated HPC applications. These include molecular dynamics applications, NAMD and GROMACS, computer-aided engineering applications, ANSYS Mechanical, Altair Acusolve and Simulia Abaqus, earth science applications, WRF, HOMME and ASUCA, oil and gas applications, Paradigm Voxelgeo and Schlumberger Petrel as well as other key applications such as MATLAB, GADGET2 and GPU-BLAST.

For more information on the HP ProLiant SL390 G7 4U server, go here, and for more information on the Tesla M2090 and the whole family of M-class products, please go here.

Sasqui · May 17, 2011, 03:05 PM

What is a "ns" as in "46 ns/day" ?

Edit, Nevermind... "nanoseconds of simulation per day"

AsRock · May 17, 2011, 03:54 PM

I am more interested in that cooler lol.

WhiteLotus · May 17, 2011, 04:42 PM

Can somebody please tell me again why you can't use these to play games?

Sasqui · May 17, 2011, 05:29 PM

Quote:

Originally Posted by AsRock

I am more interested in that cooler lol.

Was thinking that too.

Quote:

Originally Posted by WhiteLotus

Can somebody please tell me again why you can't use these to play games?

Because there is no DVI or HDMI connector

cheesy999 · May 17, 2011, 05:33 PM

Quote:

Originally Posted by Sasqui

Because there is no DVI or HDMI connector

i was gonna say because at the price of this thing you could probably go dual proccesor and quad SLI

btarunr · May 17, 2011, 05:40 PM

Quote:

Originally Posted by cheesy999

i was gonna say because at the price of this thing you could probably go dual proccesor and quad SLI

At its price you can build an entire gaming rig that can run games faster than it, if it had a display output.

cheesy999 · May 17, 2011, 05:53 PM

Quote:

Originally Posted by btarunr

At its price you can build an entire gaming rig that can run games faster than it, if it had a display output.

that's what i mean, a dual lga1366 build with dual 590

LAN_deRf_HA · May 17, 2011, 06:18 PM

I've gotten the impression that workstations cards have gotten better at playing games compared to their consumer counterparts, at least with the right drivers. However the last time I was able to see that put to the test was back with the G80s. Nobody bothers to test these things like that.

Sasqui · May 17, 2011, 06:29 PM

Quote:

Originally Posted by LAN_deRf_HA

I've gotten the impression that workstations cards have gotten better at playing games compared to their consumer counterparts, at least with the right drivers. However the last time I was able to see that put to the test was back with the G80s. Nobody bothers to test these things like that.

In most cases, the workstation card drivers are optimized for OpenGL, and specialty products, usually not DirectX. It's the reason they cost so darn much because the user base is so much smaller and the economy of scale in writing drivers just isn't there. From what I've seen the ATI and NV offerings are slight one offs from the consumer cards (in some cases, only very slightly). So, depending on the game 3D display means, the workstation cards will be about the same, or better in games.

wolf · May 17, 2011, 06:30 PM

Quote:

Originally Posted by btarunr

At its price you can build an entire gaming rig that can run games faster than it, if it had a display output.

Quote:

Originally Posted by cheesy999

that's what i mean, a dual lga1366 build with dual 590

you wouldn't even need that much, a 2600K and two GTX570's or 6950's would cream a single Tesla M2090 for cheaper.

Bjorn_Of_Iceland · May 17, 2011, 09:30 PM

Doing science!

damric · May 18, 2011, 12:00 AM

Are these GTX 580's with a different BIOS and drivers?

Easy Rhino · May 18, 2011, 12:22 AM

Quote:

Originally Posted by damric

Are these GTX 580's with a different BIOS and drivers?

no, they are completely different. like apples and oranges really.

Damn_Smooth · May 18, 2011, 12:28 AM

So basically they're saying that they achieved better performance by adding a gpu?

I could have told them that.

Kreij · May 18, 2011, 12:33 AM

These are not graphics cards ... at all.
The suite of AMBER program calculates molecular force fields and molecular trajectories of interacting molecules within a given fixed field.
The amount of data calculation to see what happens in a fixed multi-molecular field in 1 nanosecond is astronomical. The computations for single molecule interaction in staggering.
Doing 69ns in a 24 hour period is a real achievement, and I applaude Nvidia on their continued advancement into supercomputing.

Don't expect to see this in Duke Nukem Forever.

hellrazor · May 18, 2011, 12:49 AM

Quote:

Originally Posted by AsRock

I am more interested in that cooler lol.

Looks like a wider version of the one on my CPU.

damric · May 18, 2011, 01:10 AM

Quote:

Originally Posted by Easy Rhino

no, they are completely different. like apples and oranges really.

But it is technically a Fermi GF 110, is it not? Just without display outputs?

Edit: I found this. Looks like it is indeed a GF 110 core. I wonder if someone could take a GTX 580 and manipulate it into one of these new Tesla cards.

http://www.nvidia.com/docs/IO/105880...a-M2090_LR.pdf

1c3d0g · May 18, 2011, 02:27 AM

Is this the new Folding@Home King? Either way, thumbs up, NVIDIA!

bear jesus · May 18, 2011, 05:10 AM

Always good to see advancing computer tech help advance science.

But as this has four Tesla M2090 GPU's coupled with four CPU's and pumped out 69 nanoseconds of simulation in 24 hours, assuming perfect scaling how many would be needed to simulate in real time?

it's 6am so I'm not doing the math.

caleb · May 18, 2011, 06:13 AM

Quote:

Don't expect to see this in Duke Nukem Forever.

Why not it can be tessellation 10.0

vanyots · May 18, 2011, 06:30 AM

Quote:

Originally Posted by bear jesus

Always good to see advancing computer tech help advance science.

But as this has four Tesla M2090 GPU's coupled with four CPU's and pumped out 69 nanoseconds of simulation in 24 hours, assuming perfect scaling how many would be needed to simulate in real time?

it's 6am so I'm not doing the math.

1 252 173 913 043.5 according to my PC calculator

(that's 1.25 trillion systems like the one in question)

bear jesus · May 18, 2011, 06:32 AM

Quote:

Originally Posted by vanyots

1 252 173 913 043.5 according to my PC calculator

OK we are probably quite a few generations away, probably after we hit the wall with current chip tech.

MikeX · May 18, 2011, 08:10 PM

That came with a 6GB on board. Ten times more expensive than a Gtx 580.
My logical GPGPU solution would be get the gtx 590 and 12GB kit. You can share system's memory anyway.

Steevo · May 18, 2011, 08:51 PM

I dont know if we will ever be able to compute real time life. With the limitations of size the only possible way would be quantum processing.

May 17, 2011, 01:09 PM	#1
btarunr Editor & Senior Moderator Join Date: Oct 2007 Location: Hyderabad, India Posts: 14,982 (7.30/day) Thanks: 788 Thanked 12,899 Times in 5,650 Posts System Specs	New NVIDIA Tesla GPU Smashes World Record in Scientific Computation NVIDIA today unveiled the Tesla M2090 GPU, the world's fastest parallel processor for high performance computing. In addition, the Tesla M2090 GPU achieved the fastest-ever performance in a key measure of scientific computation. Equipped with 512 CUDA parallel processing cores, the Tesla M2090 GPU delivers 665 gigaflops of peak double-precision performance, enabling application acceleration by up to 10x compared to using a CPU alone. In the latest version of AMBER 11, one of the most widely used applications for simulating behaviors of biomolecules, four Tesla M2090 GPUs coupled with four CPUs delivered record performance of 69 nanoseconds of simulation per day. The fastest AMBER performance recorded on a CPU-only supercomputer is 46 ns/day. "This is the fastest result ever reported. With Tesla M2090 GPUs, AMBER users in university departments can obtain application performance that outstrips what is possible even with extensive supercomputer access," said Ross Walker, assistant research professor at the San Diego Computer Center, and principle contributor to the AMBER code. The Tesla M2090 GPU will be available in servers such as the new HP ProLiant SL390 G7 4U server. As part of the SL6500 Scalable System of HP server solutions, optimized for scale-out and HPC market segments, the SL390 family was purpose built for hybrid computing environments that combine GPUs and CPUs. The SL390 G7 4U server incorporates up to eight Tesla M2090 GPUs in a half-width 4U chassis and, with a configuration of eight GPUs to two CPUs, offers the highest GPU-to-CPU density on the market. The system is ideally suited for applications ranging from quantum chemistry and molecular dynamics to seismic processing and data analytics. "Clients running intensive data center applications require systems that can process massive amounts of complex data quickly and efficiently," said Glenn Keels, director of marketing, Hyperscale business unit, HP. "The decade long collaboration between HP and NVIDIA has created one of the industry's fastest CPU to GPU configurations available, delivering clients the needed processing power and speed to handle the most complex scientific computations." In addition to AMBER, the Tesla M2090 GPU is ideally suited to a wide range of GPU-accelerated HPC applications. These include molecular dynamics applications, NAMD and GROMACS, computer-aided engineering applications, ANSYS Mechanical, Altair Acusolve and Simulia Abaqus, earth science applications, WRF, HOMME and ASUCA, oil and gas applications, Paradigm Voxelgeo and Schlumberger Petrel as well as other key applications such as MATLAB, GADGET2 and GPU-BLAST. For more information on the HP ProLiant SL390 G7 4U server, go here, and for more information on the Tesla M2090 and the whole family of M-class products, please go here.

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May 17, 2011, 03:05 PM	#2
Sasqui Eligible for custom title Join Date: Dec 2005 Location: Manchester, NH Posts: 6,054 (2.22/day) Thanks: 820 Thanked 907 Times in 740 Posts System Specs	What is a "ns" as in "46 ns/day" ? Edit, Nevermind... "nanoseconds of simulation per day" __________________ Heatware

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May 17, 2011, 03:54 PM	#3
AsRock TPU addict Join Date: Jun 2007 Location: US\ Uk Born Posts: 8,794 (4.07/day) Thanks: 1,675 Thanked 1,348 Times in 1,170 Posts System Specs	I am more interested in that cooler lol.

May 17, 2011, 04:42 PM	#4
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May 17, 2011, 06:18 PM	#9
LAN_deRf_HA Join Date: Apr 2008 Posts: 4,022 (2.15/day) Thanks: 290 Thanked 831 Times in 588 Posts System Specs	I've gotten the impression that workstations cards have gotten better at playing games compared to their consumer counterparts, at least with the right drivers. However the last time I was able to see that put to the test was back with the G80s. Nobody bothers to test these things like that.

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May 17, 2011, 09:30 PM	#12
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May 18, 2011, 12:00 AM	#13
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May 18, 2011, 12:28 AM	#15
Damn_Smooth Join Date: May 2011 Location: A frozen turdberg. Posts: 1,361 (1.85/day) Thanks: 1,434 Thanked 502 Times in 329 Posts System Specs	So basically they're saying that they achieved better performance by adding a gpu? I could have told them that.

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May 18, 2011, 12:33 AM	#16
Kreij Hardcore Monkey Moderator Join Date: Feb 2007 Location: Cheeseland (Wisconsin, USA) Posts: 12,113 (5.27/day) Thanks: 591 Thanked 5,492 Times in 2,936 Posts System Specs	These are not graphics cards ... at all. The suite of AMBER program calculates molecular force fields and molecular trajectories of interacting molecules within a given fixed field. The amount of data calculation to see what happens in a fixed multi-molecular field in 1 nanosecond is astronomical. The computations for single molecule interaction in staggering. Doing 69ns in a 24 hour period is a real achievement, and I applaude Nvidia on their continued advancement into supercomputing. Don't expect to see this in Duke Nukem Forever. __________________ Cloud (noun, singular): A dynamic arrangement of multiple potential single points of failure, with a user at one end and their data at the other. Get more tech news on a wide variety of topics at NextPowerUp

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May 18, 2011, 02:27 AM	#19
1c3d0g Join Date: Dec 2007 Posts: 615 (0.31/day) Thanks: 2,255 Thanked 47 Times in 38 Posts	Is this the new Folding@Home King? Either way, thumbs up, NVIDIA!

May 18, 2011, 05:10 AM	#20
bear jesus Join Date: Aug 2010 Location: Britland Posts: 1,531 (1.51/day) Thanks: 322 Thanked 201 Times in 163 Posts System Specs	Always good to see advancing computer tech help advance science. But as this has four Tesla M2090 GPU's coupled with four CPU's and pumped out 69 nanoseconds of simulation in 24 hours, assuming perfect scaling how many would be needed to simulate in real time? it's 6am so I'm not doing the math. __________________ The pastafarian jesus

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May 18, 2011, 08:10 PM	#24
MikeX Join Date: Jun 2006 Posts: 125 (0.05/day) Thanks: 0 Thanked 10 Times in 10 Posts	That came with a 6GB on board. Ten times more expensive than a Gtx 580. My logical GPGPU solution would be get the gtx 590 and 12GB kit. You can share system's memory anyway.

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May 18, 2011, 08:51 PM	#25
Steevo Eligible for custom title Join Date: Nov 2005 Posts: 5,567 (2.02/day) Thanks: 238 Thanked 979 Times in 729 Posts System Specs	I dont know if we will ever be able to compute real time life. With the limitations of size the only possible way would be quantum processing. __________________ “it would have been perfect....its got trains and the line"tech your kids not to do what iv done"(or similar) because i had obviously done something to warrent 2 e-thugs to come 4000miles out of their way and kill me.” -Solaris17 “yeah i failed. i noticed the "coming soon" part after i posted.” -Mussels “people are just stupid.” -W1zzard Yes I am evil, yes you can have some.

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