However, as this card has fewer shader units, it's no surprise that it lags behind the other two GeForce cards. The GTX 260-216 worked on project p5769 which was worth 353 points. The fact that it received project p5900 that was worth 472 points probably also helped. However, ppd output is also dependent on GPU speed and resources, so the higher clocks of the GTX 285 also explain why it folds a bit better than the GTX 275. As bigger projects take ages to complete, they usually yield less ppd than smaller work units that are quicker to complete. The GTX 275 received the massive p5904 project worth 1,888 points and we couldn't get it to receive smaller work unit no matter how many times we re-installed the folding client. As such, Nvidia cards tend to have roughly double the performance of ATI cards.
Ppd (as measured through is keen to push folding performance, as the company is pushing the GPGPU capabilities of its cards and it runs folding via CUDA. You can join Custom PC's folding team (currently ranked fifth in the world) by using the team number 35947. You can monitor your folding progress via the FahMon tool, which will calculate how quickly your card can get through the current work unit and extrapolates a points per day (ppd) figure. The client downloads work units (aka 'projects') from Stanford, and each work unit is worth a certain amount of points.
#HARDWARE XFX NVIDIA GEFORCE GTX 275 GPU DOWNLOAD#
To fold on your GPU, visit the High Performance Client page and download the latest version. To add some interest to the furthering of scientific and medical research doesn't hold any interest for you, Stanford also has team- and user-based leaderboards, so folding is also a competition. Since then, folding has spread to the point where Nvidia has supported folding on all GPUs since its GeForce 8-series.įolding is a client-based distributed computing application that simulates protein folding to aid our understanding of complex diseases such as Alzheimer's, Mad Cow Disease (BSE), CJD, ALS, Huntington's, Parkinson's disease, and many Cancers and cancer-related syndromes. Creator: Stanford is possibly the most successful GPGPU application at the moment, with ATI pioneering GPU-based folding years ago with its Radeon X1000 range of GPUs.
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