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Repost of the preceding message
GF110 might just be a GF100 with all the SPU's enabled plus GF104 architectural enhancements.
The only thing that really bothers me about consumer Fermi's is that nVidia intentionally limited double precision performance.
If F@h ever took advantage of DP on GPU's, nVidia cards would perform terribly.
Edit by SolidSteel144 On 11/01/2010 at 05h01
GF110 might just be a GF100 with all the SPU's enabled plus GF104 architectural enhancements.
The only thing that really bothers me about consumer Fermi's is that nVidia intentionally limited double precision performance.
If F@h ever took advantage of DP on GPU's, nVidia cards would perform terribly.
Edit by SolidSteel144 On 11/01/2010 at 05h01
SolidSteel144:
AMD GPUs lack any kind of DP support, just FYI. What Nvidia will probably do with GF110 is enable all SPs, disable HPC features (like with GF104) and get a very good gaming card which is less good at F@H. They can then sell more Tesla cards with all of these features enabled, as well as ECC support and everything
GF110 might just be a GF100 with all the SPU's enabled plus GF104 architectural enhancements.
The only thing that really bothers me about consumer Fermi's is that nVidia intentionally limited double precision performance.
If F@h ever took advantage of DP on GPU's, nVidia cards would perform terribly.
The only thing that really bothers me about consumer Fermi's is that nVidia intentionally limited double precision performance.
If F@h ever took advantage of DP on GPU's, nVidia cards would perform terribly.
AMD GPUs lack any kind of DP support, just FYI. What Nvidia will probably do with GF110 is enable all SPs, disable HPC features (like with GF104) and get a very good gaming card which is less good at F@H. They can then sell more Tesla cards with all of these features enabled, as well as ECC support and everything
ATI GPUs have DP support. Only 5700 series and 6800 series doesn't have it enabled.
Elledan:
I have folded on my 5870 but I have not seen any need for the DP support.
I found the following post from the FAH-Addict forum:
Quotation:
AMD GPUs lack any kind of DP support, just FYI. - wall of text -
I have folded on my 5870 but I have not seen any need for the DP support.
I found the following post from the FAH-Addict forum:
Quotation:
ERRATUM :
After verification, Stanford doesn't use double precision in computations that run on GPU clients
(because it would cost more performance than information it could add).
The lack of support of this feature won't be an issue to run an OpenCL based Folding@Home client.
After verification, Stanford doesn't use double precision in computations that run on GPU clients
(because it would cost more performance than information it could add).
The lack of support of this feature won't be an issue to run an OpenCL based Folding@Home client.
New AMD client needed! The current one is 2 years old and was desigened for HD 3000-series of cards (320 SPs).
For an example: HD 5870 has 1600 SPs - with full client support they could enventually do some 22,000+ PPD.
For an example: HD 5870 has 1600 SPs - with full client support they could enventually do some 22,000+ PPD.
FAH Support for ATI GPUs
http://folding.typepad.com/news/2011/03/fah-support-for-ati-gpus.html
Quotation:
Quotation:
AMD is pushing OpenCL very hard and I think it's the right thing to do. Currently I own only 5xxx and 6xxx cards so I'm prepared
http://folding.typepad.com/news/2011/03/fah-support-for-ati-gpus.html
Quotation:
ATI does not support all of its GPUs with OpenCL (the series 3xxx are not supported and the series 4xxx does not have sufficient OpenCL support for efficient FAH calculations).
Quotation:
The good news is that ATI's support for OpenCL is very strong and we're excited about our new ATI openCL core (core 16), which is undergoing testing right now. ATI core 16 will be publicly released after the v7 client is released, as the core needs the new client.
AMD is pushing OpenCL very hard and I think it's the right thing to do. Currently I own only 5xxx and 6xxx cards so I'm prepared
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