GPGPU: Folding @ Home Performance & Efficiency
GPGPU: Folding @ Home Performance & Power Consumption One of the cornerstones of consumer GPGPU performance has always been a cardís ability to crunch numbers for distributed computing projects like Stanfordís Folding @ Home program.
In this test, we use the latest GPU3 client on a number of cards and let it run for 24 hours in order to get an approximate PPD average. Since this is the beta of GPU3, the quantity of projects is limited which helps give a slightly more accurate comparison between the GPUs. In order to monitor PPD, we used the HFM.net program. Note that results are based off of a single project: 6805.
Performance for the GTX 560 Ti with this WU is actually quite close to that of the GTX 570 due to higher clock speeds. Other upcoming projects may take better advantage of the additional cores higher end cards come equipped with but for the time being, the GTX 560 seems to be an excellent option for people with Folding rigs.
For whatever reason this newer project increases power consumption of Fermi-based GPUs when compared to past examples. Nonetheless, the GTX 560 Ti proves to be quite efficient.