One thing they have done recently is to make it so only 128 meg and above video cards will work, the 64 meg cards just didn't cut it for the Science anymore so they had to drop support for them.
Not everyone has been able to do that but some have. They can also use a ton of cards not just the newest, some people have even been able to use the built-into the motherboard cards both Cuda and ATI versions.
BOINC PROJECTS THAT USE GPU FULL
That way you can keep going full blast while letting your GPU also work.Ĭoncerning ATI, there are a couple of BOINC projects which use ATI cards for GPU processing, but most projects seem to be waiting on OpenCL to add ATI support.Ĭollatz is one of those able to use ATI cards and it works quite well for most. () They do all-atom biomolecular simulations using GPU only. While you are waiting for a CUDA app, you can always take a look at GPUGrid.
BOINC PROJECTS THAT USE GPU SOFTWARE
I'd like a new program that only tries to handle some of the functions the other programs do, but uses at least one type of graphics card instead of running on the CPU only, but the compiler software support for writing such a program currently makes writing such programs slow enough that few BOINC projects have gone far beyond their initial efforts to try it. Their algorithm appears to try to handle only the protein folding part of the things can do, and works with less memory per processor. I've found GPUGRID to be a good source of workunits that handle many of the more recent Nvidia cards well, but not those with the fewest processors or too old a variety of Nvidia processors.
The OpenCL idea for a computer code shared by all new graphics cards is rather new, and probably slow getting proper software written to handle it. Some other BOINC projects that require much less memory per processor probably could, if the proper software was available to compile whatever computer language they are written in into whatever computer code at least one of those graphics cards requires - and they don't yet have the same choices of which types of computer codes will work. The best I can tell, is using an algorithm in minirosetta which requires so much memory per processor that it won't get much if any benefit from the increased number of processors but decreased amount of memory per processor available in graphics cards - Nvidia type, ATI type, or the AMD type Orgil recommends.
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