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Application Code Discussion :
found a small memory error in the code
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Send message Joined: 4 Jul 08 Posts: 165 Credit: 364,966 RAC: 0 |
I wouldnt mind a faster cpu app if there is one to have. Another cruncher here name "ICE" is hosting the optimsed apps maybee get in touch with him to get it on his site. Glenn |
Send message Joined: 26 Jul 08 Posts: 627 Credit: 94,940,203 RAC: 0 |
Another cruncher here name "ICE" is hosting the optimsed apps maybee get in touch with him to get it on his site. I know how it works. The Windows/GPU apps there are all my ones ;) |
Send message Joined: 4 Jul 08 Posts: 165 Credit: 364,966 RAC: 0 |
Sorry CP this wasnt directed at you was directed at dobrichev, I know that you know who is hosting your apps |
Send message Joined: 19 May 09 Posts: 30 Credit: 1,062,540 RAC: 0 |
Using a CPU is largely energy waste compared to a GPU so I stopped looking to the CPU application. Hi CP, That is something I have been wondering about. I wonder if that energy waste is occurring (or reversed) on other projects plus Milky Way when running Cuda. Over on Einstein @ Home they have only managed to attain a 1.5 x ( geforce ) to 3.5 x ( Tesla ) speedup compared to the CPU app. when testing their beta Cuda app. Some Nvidia cards burn up a lot of power so, for that minor speed advantage, you may end up wasting power running Cuda. Best Regards, Bill |
Send message Joined: 12 Apr 08 Posts: 621 Credit: 161,934,067 RAC: 0 |
Over on Einstein @ Home they have only managed to attain a Which is why it is still in Beta ... It is not always straight forward to vectorize an application and there are always subtleties that have to be learned ... but, eventually they will likely get a much better behaved application. Heck GPU Grid at the turn of the year used as much as 21% of the CPU just to idle wait for the GPU. They changed and got that down to less than 1% with almost no loss of speed on the CUDA side. For me, one of the advantages, besides just the speed up is that we can bring more parallel processing elements into the mix and as so I can run more work in parallel. So right now I am running 3 projects on the GPUs and 4 on the CPU of which 3 are NCI ... |
Send message Joined: 26 Jul 08 Posts: 627 Credit: 94,940,203 RAC: 0 |
Over on Einstein @ Home they have only managed to attain a I don't get why people are so obsessed to attribute Tesla cards a higher performance than the normal consumer cards. The GPU hardware is identical. There is nothing why a Tesla card is going to be faster. Tesla cards have usually more (but slower) RAM, so this could enable some more data to be buffered, but aside from this Teslas are usually even a bit slower than a GTX285 (which you can buy as 2GB model with fast RAM) for instance. |
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