Overclock.net › Forums › Industry News › Hardware News › [DVHARDWARE]Researchers create supercomputer with four GeForce 9800 GX2 cards
New Posts  All Forums:Forum Nav:

[DVHARDWARE]Researchers create supercomputer with four GeForce 9800 GX2 cards - Page 3

post #21 of 50
It would be easier to design a separate multi-flatbed platform for multiple GPU beds, stacked, and watercooled.
Would cost less, operate more efficiently, and take up less space.

Have to wonder why Intel's and AMD's CPUs are used in Supercomputers instead of GPUs. Well at least some of the Supercomputers, after all, calculating Physics is a big part of supercomputer's life, why not let specialized GPU deal with it much more efficiently.
Edited by dumont - 5/29/08 at 3:34pm
GONDOR
(13 items)
 
  
CPUMotherboardGraphicsRAM
P4 2.8GHz @ 800FSB Asus P4C800-E Deluxe Asus GeForce FX 5900 Ultra 256MB OCZ 1GB (512MBx2) 
Hard DriveOptical DriveOSMonitor
Too Many Memorex (Prefer Lite-On) Classified Dell 2405WFP 
KeyboardPowerCaseMouse
Microsoft Internet White Vantec 420W Lian-Li PC601 Microsoft IntelliMouse Explorer 3.0 
Mouse Pad
Classified 
  hide details  
Reply
GONDOR
(13 items)
 
  
CPUMotherboardGraphicsRAM
P4 2.8GHz @ 800FSB Asus P4C800-E Deluxe Asus GeForce FX 5900 Ultra 256MB OCZ 1GB (512MBx2) 
Hard DriveOptical DriveOSMonitor
Too Many Memorex (Prefer Lite-On) Classified Dell 2405WFP 
KeyboardPowerCaseMouse
Microsoft Internet White Vantec 420W Lian-Li PC601 Microsoft IntelliMouse Explorer 3.0 
Mouse Pad
Classified 
  hide details  
Reply
post #22 of 50
Quote:
Originally Posted by dumont View Post
It would be easier to design a separate multi-flatbed platform for multiple GPU beds, stacked, and watercooled.
Would cost less, operate more efficiently, and take up less space.

Have to wonder why Intel's and AMD's CPUs are used in Supercomputers instead of GPUs. Well at least some of the Supercomputers, after all, calculating Physics is a big part of supercomputer's life, why not let specialized GPU deal with it much more efficiently.
Nvidia sells Quadro and Tesla rackmounts and such, but they are much more expensive than retail cards even though they have the same hardware.
Small box
(13 items)
 
  
CPUMotherboardGraphicsRAM
Intel 7700K ASUS Z270F Strix ASUS 1080 Ti FE Corsair Vengeance 16 GB 3200 MHz 
Hard DriveCoolingOSMonitor
Samsung 960 Evo Corsair H115i Windows 10 ASUS PG279Q 
KeyboardPowerCaseMouse
Unicomp Corsair CX850 Fractal Design Define C Logitech G PRO 
Mouse Pad
Steelseries QCK XXL 
  hide details  
Reply
Small box
(13 items)
 
  
CPUMotherboardGraphicsRAM
Intel 7700K ASUS Z270F Strix ASUS 1080 Ti FE Corsair Vengeance 16 GB 3200 MHz 
Hard DriveCoolingOSMonitor
Samsung 960 Evo Corsair H115i Windows 10 ASUS PG279Q 
KeyboardPowerCaseMouse
Unicomp Corsair CX850 Fractal Design Define C Logitech G PRO 
Mouse Pad
Steelseries QCK XXL 
  hide details  
Reply
post #23 of 50
Quote:
Originally Posted by savagebunny View Post
Researchers at the University of Antwerp in Belgium have created a new supercomputer with standard gaming hardware. The system uses four NVIDIA GeForce 9800 GX2 graphics cards, it costs less than 4000EUR to build and thanks to NVIDIA's CUDA technology it delivers roughly the same performance as a supercomputer cluster consisting of hundreds of PCs!

This new system is used by the ASTRA research group, part of the Vision Lab of the University of Antwerp, to develop new computational methods for tomography. The guys explain the eight NVIDIA GPUs deliver the same performance as more than 300 Intel Core 2 Duo 2.4GHz processors. On a normal desktop PC their tomography tasks would take several weeks but on this NVIDIA-based supercomputer it only takes a couple of hours. The NVIDIA graphics cards do the job very efficiently and consume a lot less power than a supercomputer cluster.

The research group ASTRA, part of the Vision Lab of the University of Antwerp, focuses on the development of new computational methods for tomography. Tomography is a technique used in medical scanners to create three-dimensional images of the internal organs of patients, based on a large number of X-ray photos that are acquired over a range of angles. ASTRA develops new reconstruction techniques that lead to better reconstruction quality than classical methods.

Although our reconstruction techniques are very powerful, they have an important drawback: they are quite slow. As the 3D images that we normally deal with can be rather large (typically 1024x1024x1024 volume elements, or more), advanced reconstruction methods can sometimes take weeks of computation time on a normal PC.


Here's a look at the specifications of the FASTRA desktop superPC:

# AMD Phenom 9850 processor + Scythe Infinity CPU cooler
# 4x MSI 9800GX2 graphics card
# 4x 2GB Corsair Twinx DDR2 PC6400 memory
# MSI K9A2 Platinum motherboard
# Samsung Spinpoint F1 750GB HDD
# ThermalTake Toughpower 1500W Modular PSU
# Lian-Li PC-P80 Armorsuit case
# Windows XP 64-bit

The medical researchers ran some benchmarks and found that in some cases their 4000EUR desktop superPC outperforms CalcUA, a supercomputer with 512 AMD Opteron cores that cost the University of Antwerp 3.5 million euro in March 2005:

You can read more about the FASTRA GPU SuperPC project over here. The site contains lots of background information, info on the hardware they used, more photos and benchmarks.

In the video below Dr. Joost Batenburg takes you to the ASTRA-lab where he shows what tomographical reconstructions are and what the role of FASTRA is:

Link
Code:
http://www.dvhardware.net/article27538.html
a ting of beauty. if they are willing to sell one of those i call dibs!! LOL
    
CPUMotherboardGraphicsRAM
Phenom 8450 x3 DFI DK 790FX ATi 2350 OCZ Fatality 2x2Gb 
Hard DriveOptical DriveOSKeyboard
1x WD Cavier Blue - 1x Samsung Spinpoint F! 1Tb Samsung Write Master Vista 7 RC1 Wireless Keybaord 
PowerCaseMouseMouse Pad
Gigabyte ODIN Pro 550w Quad Rail 4U Rack Mountalble Wireless Laser Mouse BED LOL! 
  hide details  
Reply
    
CPUMotherboardGraphicsRAM
Phenom 8450 x3 DFI DK 790FX ATi 2350 OCZ Fatality 2x2Gb 
Hard DriveOptical DriveOSKeyboard
1x WD Cavier Blue - 1x Samsung Spinpoint F! 1Tb Samsung Write Master Vista 7 RC1 Wireless Keybaord 
PowerCaseMouseMouse Pad
Gigabyte ODIN Pro 550w Quad Rail 4U Rack Mountalble Wireless Laser Mouse BED LOL! 
  hide details  
Reply
post #24 of 50
FireGL V7700 > this?
post #25 of 50
Amazing...
Edited by DigitalBear - 5/29/08 at 4:35pm
post #26 of 50
Quote:
Originally Posted by 003 View Post
I thought that

A) CUDA does not work with SLI or multi GPUs
B) SLI does not work on AMD motherboards
C) 9800GX2 only scales to two cards, and nvidia does not support anything over 4 GPUs in parallel

How does this work?
the cards are not linked in QUAD-SLI, so you can use them on an AMD chipset. and i believe they are using some other program to use all 8.
post #27 of 50
My question is simply this:

HOW DO THEY BREATH?!
post #28 of 50
It's good to see the 9800gx2s put to real use! That is simply amazing. I can't imagine what 3d rendering will be like in the next few years.
My Evolution
(13 items)
 
  
CPUMotherboardGraphicsRAM
E8400 @ 4.2ghz 1.35v ABIT IP-35E EVGA 9800GTX+ Superclocked(800/2000/1200)SOLD 4GB GEIL DDR2 933mhz @ 5-5-5-16 
Hard DriveOptical DriveOSMonitor
Maxtor 1TB 32MB cache + WD 320GB 16MB cache Pioneer 18x SATA dvd-writer Vista HP SP1 64bit + XP Pro 32bit 17" CRT 
PowerCaseMouse
Antec Basiq 500W :-\ Cooler Master 330 Logitech mx518 
  hide details  
Reply
My Evolution
(13 items)
 
  
CPUMotherboardGraphicsRAM
E8400 @ 4.2ghz 1.35v ABIT IP-35E EVGA 9800GTX+ Superclocked(800/2000/1200)SOLD 4GB GEIL DDR2 933mhz @ 5-5-5-16 
Hard DriveOptical DriveOSMonitor
Maxtor 1TB 32MB cache + WD 320GB 16MB cache Pioneer 18x SATA dvd-writer Vista HP SP1 64bit + XP Pro 32bit 17" CRT 
PowerCaseMouse
Antec Basiq 500W :-\ Cooler Master 330 Logitech mx518 
  hide details  
Reply
post #29 of 50
Nvidia should make CPUs outside of graphics cards.
My System
(13 items)
 
  
CPUMotherboardGraphicsRAM
Intel E6750 @ 3.4Ghz Evga 680i Sli Se Evga 8800GT SSC Mushkin 2Gig 800 @ 1000mhz 5-5-5-11 
Hard DriveOptical DriveOSMonitor
Seagate 500GB 7200.11 + Seagate Barracuda 250GB Samsung SHS203B Win 7 Samsung 22Inch 226BW 
PowerCaseMouse
Kingwin 600 Watt Modular Antec 900 Mx518 Optical 
  hide details  
Reply
My System
(13 items)
 
  
CPUMotherboardGraphicsRAM
Intel E6750 @ 3.4Ghz Evga 680i Sli Se Evga 8800GT SSC Mushkin 2Gig 800 @ 1000mhz 5-5-5-11 
Hard DriveOptical DriveOSMonitor
Seagate 500GB 7200.11 + Seagate Barracuda 250GB Samsung SHS203B Win 7 Samsung 22Inch 226BW 
PowerCaseMouse
Kingwin 600 Watt Modular Antec 900 Mx518 Optical 
  hide details  
Reply
post #30 of 50
Quote:
Originally Posted by Truambitionz View Post
Nvidia should make CPUs outside of graphics cards.
They would be horrible.

CPU is great at tons of stuff, GPU's are amazing at one thing, number crunching. Instead of a CPU running one calculation, a GPU breaks that calculation up into thousands of pieces.

Also, for those of you wondering at the power consumption and cooling, this would be just a fraction of what a supercomputer would draw, just think of all the power the 300 Core 2's compared to this, even if it was 65 watts per entire system, that is still nothing compared to the low power of these cards.

Yea, as previously stated, this beats the heck out of Tesla's (Last I heard they were 3 or 4 8800GTX's).
    
CPUMotherboardGraphicsRAM
C2D T7100 1.8 ghz (undervolted) ummm... Dell Intel X3100 2 x 1gb 667mhz 
Hard DriveOptical DriveOSMonitor
Fujitsu 7200 RPM 120gb CD-RW/DVD dual boot Vista business 1440x900 
  hide details  
Reply
    
CPUMotherboardGraphicsRAM
C2D T7100 1.8 ghz (undervolted) ummm... Dell Intel X3100 2 x 1gb 667mhz 
Hard DriveOptical DriveOSMonitor
Fujitsu 7200 RPM 120gb CD-RW/DVD dual boot Vista business 1440x900 
  hide details  
Reply
New Posts  All Forums:Forum Nav:
  Return Home
  Back to Forum: Hardware News
Overclock.net › Forums › Industry News › Hardware News › [DVHARDWARE]Researchers create supercomputer with four GeForce 9800 GX2 cards