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World Community Grid


road-runner

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World Community Grid (WCG) is an effort to create the world's largest public computing grid to tackle scientific research projects that benefit humanity. Launched November 16, 2004, it is funded and operated by IBM with client software currently available for Windows, Linux, Mac OS X and FreeBSD operating systems.

 

Using the idle time of computers around the world, World Community Grid's research projects have analyzed aspects of the human genome, HIV, muscular dystrophy, hepatitis C, yellow fever, dengue fever and cancer. The organization has so far partnered with over 350 other companies and organizations to assist in the work and has over 300,000 registered user accounts.

 

While many public computing grids such as SETI@home and Folding@home are devoted to a single project, World Community Grid offers multiple humanitarian projects under a single umbrella.

 

The Berkeley Open Infrastructure for Network Computing (BOINC) is a non-commercial middleware system for volunteer computing, originally developed to support the SETI@home project, but intended to be useful for other applications in areas as diverse as mathematics, medicine, molecular biology, climatology, and astrophysics. The intent of BOINC is to make it possible for researchers to tap into the enormous processing power of personal computers around the world.

 

BOINC is a program that lets you donate your idle computer time to science projects like SETI@home, Climateprediction.net, Rosetta@home, World Community Grid, and many others.

 

After installing BOINC on your computer, you can connect it to as many of these projects as you like.

 

You can sign up for WCG here The newest BOINC for windows is here After you install it just go to Overclockersclub home page and click on join this team.

 

You can check the team/user Boinc points here. WCG Points are calculated from the Boinc points multiplied by 7.

 

Current Projects:

Help Conquer Cancer

AfricanClimate@Home

Discovering Dengue Drugs

Edited by road-runner

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Can I install the WCG clients on a 64bit Ubuntu install or do I have to go back to a 32bit OS version?

Yes you can install it on 64 bit, you have to have the 32 bit libraries as you do with folding. You can either use the packet manager or go to Getdeb choose your operating system and get a newer version of the manager and client. Installed the client first then the manager...

 

Edit: Be sure all of rigs have different host names or you will have problems...

 

getdebmu4.jpg

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Thanks RR......Already have all the windows machines switched over.....I'm still wavering on switching the Linux boxes over. It seems that the 2619 WU runs just fine on linux as long as linux is the native OS....not running in VMware. (I don't get credit for the completed wu's, still missing credit for 20+ wu's that are just floating in fah cyber space but at least they are completing and successfully sent...) The two machines that I have linux running in vmware lock up everytime they get the 2619 wu and they don't do it right away.....they wait until they're 99% finished ...then they lock up, say the file is corrupt , delete everything and start all over again. :O

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There is a new project for WCG, Nutritious Rice for the World

 

Project Status and Findings:

Current project status and findings are reported by the University of Washington's Computational Biology Research Group. To discuss this project, please visit the Nutritious Rice for the World forum.

 

Mission

The objective of this project is to predict the structure of proteins of major strains of rice. The intent is to help farmers breed better rice strains with higher crop yields, promote greater disease and pest resistance, and utilize a full range of bioavailable nutrients that can benefit people around the world, especially in regions where hunger is a critical concern.

 

Determining the structure of proteins is an extremely difficult and expensive process. However, it is possible to computationally predict a protein's structure from its corresponding DNA sequence. The Computational Biology Research Group at the University of Washington has developed state of the art software to accomplish this. The difficulty is, there are thousands of distinct proteins found in rice. This presents a computational challenge that a single computer cannot solve within a reasonable timeframe. Therefore, volunteers of World Community Grid are invited to assist in this daunting task. Through collaboration with agricultural researchers and farmers, the hope is to eventually improve global rice yields and quality.

 

Significance

Hunger and malnutrition are the top risks to health worldwide. Nearly 30 percent of the world's population suffers from some form of malnutrition [1]. Every year, 10 million people die of hunger and hunger-related diseases. In fact, more people die from hunger and malnutrition annually than from AIDS, malaria, and tuberculosis combined [2].

 

Rice is the main food staple of more than half the world's population. 20 percent of the total food energy intake for every man, woman, and child in the world comes from rice. In Asia alone, more than 2 billion people get up to 70 percent of their daily dietary energy from rice and its by-products [3].

 

Improving strains of rice to yield larger, more resilient, and nutritionally-optimized harvests will positively impact the lives of billions of people.

 

Approach

Making better strains of rice has traditionally been accomplished through cross breeding of strains to produce hybrids with the best features. However, this is limited to crossing strains with easily observable traits.

 

Complex traits (such as high yield, disease resistance, or nutrient content) come from complex biochemical interactions of individual component proteins. Identifying such proteins and understanding their properties and interactions gives farmers the opportunity to affect these traits in a refined manner by choosing more subtle candidates for cross breeding. Predicting the structure of proteins can provide insight into the roles they play in the biochemistry of these traits.

 

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