Message boards : Number crunching : Tesla M2050/M2070 and GTX580
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I just joined and have a few questions: | |
ID: 19523 | Rating: 0 | rate: / Reply Quote | |
After looking at existing threads it seems that the Tesla cards at least the previous ones 10XX series were not performant against the gaming cards of the Fermi type 400 series. Does this hold true even for the new ones of the 20XX series ? | |
ID: 19525 | Rating: 0 | rate: / Reply Quote | |
For the GPUGRID application, M20?0 cards perform about as well as a GTX470. Not that we've had one to test yet, but a GTX580 should be ~25% faster. | |
ID: 19530 | Rating: 0 | rate: / Reply Quote | |
Ok thanks MJH. It is clear that Tesla is not the right way here. Nevertheless I am very very surprised. I understood that Tesla was the Nvidia strategy for supercomputing, massive number crunching approach. How come that the gaming boards are so much better? I understand that the design of the Fermi boards was made with a number crunching perspective but the Tesla should have been 50% more performing than the gaming boards not the opposite. | |
ID: 19531 | Rating: 0 | rate: / Reply Quote | |
Hypernova, you are very welcome to GPUGrid. | |
ID: 19537 | Rating: 0 | rate: / Reply Quote | |
Thanks skgiven, you have impressive numbers here at GPUGrid. The reason I came here is that I feel GPU processing at WCG is too far distant, and to leave some good GPU boards asleep is a pity. Some of my devices were designed to handle GPU processing for WCG, but as CPU and GPU both can run together without trouble then let's go. The projects that run here at GPUGrid have also attracted my interest. | |
ID: 19541 | Rating: 0 | rate: / Reply Quote | |
The 6.12 app uses the capability of the 200 series cards better (it's faster), but the cards require the 19745, or slightly earlier driver, to run this faster app. All the WU's are basically the same but modified to run on specific apps, and allocated according to your driver. So you can presently run 6.12 or 6.13 if you use 19745 or a later driver respectively. TONI_MSM 14719sec = 4.09h, 24ms per step. (625000 steps) KASHIF_HIVPR 21901sec = 6.08h, 22ms per step (1000000 steps). GIANNI_DHFR500 21901sec = 6.22h, 11ms per step (2000000 steps) - this is the fastest task type.
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ID: 19543 | Rating: 0 | rate: / Reply Quote | |
From what I've seen, the main advantage of the Tesla boards is that they offer more graphics memory. However, the GPUGRID applications were designed so they have no real use for this extra graphics memory. | |
ID: 19545 | Rating: 0 | rate: / Reply Quote | |
From what I've seen, the main advantage of the Tesla boards is that they offer more graphics memory. However, the GPUGRID applications were designed so they have no real use for this extra graphics memory. I would think that Tesla would be significantly faster for MilkyWay though since the DP units aren't crippled and now that the MW client is working with Fermi. Still nowhere near the performance of a MUCH less expensive ATI gaming card. | |
ID: 19546 | Rating: 0 | rate: / Reply Quote | |
Message boards : Number crunching : Tesla M2050/M2070 and GTX580