Monday, November 29, 2010

CPU/GPU PPD Database

Q: Whats the PPD for my CPU/GPU?

A: Here are the links to a database in which you can see the average PPD for almost all CPUs/GPUs, clients, and configurations.

http://www.overclock.net/overclock-net-folding-home-team/591976-folding-home-cpu-ppd-database.html

http://www.overclock.net/overclock-net-folding-home-team/475163-folding-home-gpu-ppd-database.html

Sunday, November 28, 2010

Budget Folding Video Cards

Only Nvidia card will be listed since they are far superior compared to AMD/ATI.

9600GT 512MB 64SP
8800GS 384MB 96SP
9600GSO 384MB 96SP
8800GT/9800GT 512MB 112SP
GT 240 512MB/1024MB 96SP
GTS 250 512MB/1024MB 128SP
GT 430 1024MB 96SP
GTS 450 1024MB 192SP

Monday, November 22, 2010

Will setting Fahcore_11.exe*32 to HIGH/REALTIME increase PPD?

Technically no it does not increase your PPD. If you are on your machine while it is running and you set clients to high or real time priority it could cause lagging in certain applications. On the good side it will prevent other programs from stealing resources. If you do have things stealing resources that the folding client needs it could increase PPD by a smidgen.

GPU2 vs GPU3

There has been quite a buzz lately over which is better. Well I guess on paper it would seem the GPU3 is better. However, if you own a video card older then a the GTX4xx series you will see a PPD drop. Yes on 8 and 9 series cards there is a small PPD drop overall on the WUs. It only gets worse when you run the GPU3 client a GTX2xx card. To sum things up if you own anything older then a GTX4xx stick to the GPU2 client until WUs get more mature. Main difference is the newer client feature larger WUs which take longer for older cards to complete. The new client was mainly introduced for the higher powered GTX4xx sereis from Nvidia. If you have lag issues while folding and using your computer the newer version is said to eliminate this problem.

What is F@H and Distributed Computing?

Basically, Folding is a distributed computing project created by Stanford University and currently run by there own Pande Group. The idea behind the project is to studying proteins folding and misfolding. Which ultimately can lead to bad things health wise if the protein misfold.

Distributed Computing in a nutshell is when two or more computers work together on a project(data) or parts or a project(data) while communicating over a network. It uses there servers on site as well as all the other computers folding and uses that power to process the information simultaneously as needed. This is where WUs come into play, this will be discussed in later FAQs. All of the personal/team info and stats can be found on several sites. Stanford does this for research and are actually spending money to keep it going, hence the reason we are helping them.

No profit is made only the hope for finding cures to disease and illnesses in which we currently have no cures.