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{{Languages|GPUGRID}}
{{Languages|GPUGRID}}
{{Projekte/en
{{Projekte-ws/en
|Project-Link=[http://www.gpugrid.net/ GPUGRID]
|Project-Link=[http://www.gpugrid.net/ GPUGRID]
|Screensaver=na.png
|Screensaver=na.png
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'''Badges'''<br>
'''Badges'''<br>
[[image:gpugrid-badges.png]]
[[image:gpugrid-badges.png|570px]]


|Start=2007
|Start=2007

Version vom 20. März 2014, 21:11 Uhr

GPUGRID.net is a novel distributed supercomputing infrastructure made of many NVIDIA graphics cards joined together to deliver high-performance all-atom biomolecular simulations. The molecular simulations performed by our volunteers are some of the most common types performed by scientists in the field, but they are also some of the most computationally demanding and usually require a supercomputer.

Running GPUGRID on GPUs innovates volunteer computing by delivering supercomputing class applications on a cost effective infrastructure which will greatly impact the way biomedical research is performed.

Highly Recommended Cards:
Geforce GTX 590, 580, 570, 480, 560 Ti (448), 470, 465
Tesla C2050/C2070 (Workstation), M2050/M2070, S2050 (Data Center)
Quadro 6000, 5000, 4000, 2000, 2000D

Recommended Cards:
Geforce GTX 295, 280, 275, 560Ti, 260-216 (55nm), 460, 550Ti, 460SE, GTS450
Tesla 10, 20
Quadro 600, 480M (CC2.0)
Quadro Mobile 5010M, 5000, 4000, 3000, 2000

Testproject:
http://dev.ps3grid.org/

Test of new versions and OpenCL implementation.

Badges

GPUGRID
Start 2007
End
Status
Admin GDF
Institution University of Pompeu Fabra
Country Spain
Area Biomedical
Apps
Win CPU only app 1.04
Linux
Mac
64bit CPU only app 1.01 [linux]
PS3
ATI
CUDA Short runs (2-3 hours on fastest card) 8.15/8.00 (cuda42/55)[win/linux]
ACEMD beta version 8.15/8.14 (cuda42/55) [win/linux]
Long runs (8-12 hours on fastest card) 8.15/8.03 (cuda42/55) [win/linux]
Intel
Android
RPi
NCI
System-Specs
VRAM SP DP
RAM 22MB
Runtime 2-11h
HDD MB
Traffic dl/ul MB
Deadline 5 days
Checkpoints