Date and Place: 20 April 2009 9:00-12:00

Room C305 Main Building, Institute of High Energy Physics, Chinese Academy of Sciences,

19B Yuquan Road, Shijingshan District, Beijing, 100049 P.R. China


Background for the seminar: Volunteer computing is an established technology that enables ordinary citizens around the globe to contribute to important challenges in fundamental science and medicine, by providing idle time on their PCs and even partaking in data analysis via the Internet. For scientists, volunteer computing represents a free and essentially unlimited computing resource. Made popular already a decade ago by the screensaver project SETI@home, volunteer computing now counts over 50 projects running in a wide variety of scientific domains, including climate change, astrophysics, earthquake monitoring and epidemiology. Several million volunteers are contributing to such projects, and many use a common software platform called BOINC (Berkeley Open Infrastructure for Network Computing). However, so far almost all these projects have been launched by scientists in North America and Europe. Therefore, this seminar aims to increase awareness of volunteer computing in China.

Scope of the seminar: The objective of the Asia@home seminar is to introduce the technologies underlying volunteer computing to Chinese scientists who may be interested to use volunteer computing as a tool in their future research. The seminar includes lectures by four experts in the field, including leading developers of volunteer computing software as well as scientists who have been applying the technology in fields such as high-energy physics and malaria epidemiology. In addition, topics such as the interfacing of Grid computing and cloud computing with volunteer computing will be addressed. The new trend of “volunteer thinking” projects, where the volunteer does data analysis via a web interface, will also be described. A detailed programme and list of confirmed lecturers is provided below.


9:00         Introduction to volunteer computing and volunteer thinking

David Anderson, Director of SETI@home and BOINC, University of California at Berkeley, USA

10:00       Case study #1: LHC@Home; volunteer computing for the Large Hadron Collider

         Ben Segal, CERN, Geneva, Switzerland.

10:35       Case study #2: MalariaControl.net: volunteer computing for malaria epidemiology in Africa

         Nicolas Maire, Swiss Tropical Institute, Basel, Switzerland

11:10        Volunteer computing, grid computing and cloud computing: opportunities for synergy

         Derrick Kondo, INRIA, Grenoble, France

12:00        End of session (informal discussion with speakers until 12:30)


Registration: The event is free of charge. To ensure seating, please register at   http://indico.ihep.ac.cn/conferenceDisplay.py?confId=657

For further information: Dr. Gang Chen, Computing Center, IHEP. Email: Gang.Chen[at]ihep.ac.cn  

Please check the  route to IHEP and the campus of  IHEP. 

Sponsored by     



ASIA@home 北京志愿计算研讨会

时间和地点: 2009420 9:00-12:00,中国科学院高能物理所主楼C305会议室,



研讨会背景:志愿计算是一项使全世界的普通民众能够对基础科学和医学面临的重大挑战作出贡献的成熟技术,它通过互联网利用空闲的个人电脑,使其担任数据分析任务。对于科学家们,志愿计算代表着一项免费和事实上无限的计算资源。早在十年前,志愿计算已通过屏幕保护程序SETI@home 开始传播,现在,志愿计算已有50多个项目正在运行中,跨越了多个科学领域,包括气候变化,天体物理学,地震监测和流行病学。这些项目得倒几百万志愿者的支持,许多人正在使用一个叫做BOINC(伯克利网络计算开放架构)的公共软件平台。但是,到目前为止大多数项目都是由北美和欧洲的科学家们发起的。因此,此次研讨会期望能够增进中国对志愿计算的了解。


研讨会涉及范畴: Asia@home研讨会的目的是向潜在的志愿计算的使用者那些在未来研究中有可能把志愿计算作为工具的中国科学家们介绍志愿计算的基础技术。此次研讨会包括了4位本领域专家的讲座,这些专家包括志愿计算程序的主要研发者和各领域使用这项技术的科学家,涉及的领域包括高能物理和疟疾流行病学等。另外,网格计算、云计算与志愿计算的关系也是本研讨会的主题之一。志愿者通过网络界面进行数据分析这一志愿思想项目的新趋势也将在会上进行讨论。详细的会议程序和拟定讲座如下。


9:00         志愿计算和志愿思想的介绍

David Anderson,  SETI@home BOINC项目主管, 美国加州伯克利大学

10:00       案例分析 #1: LHC@Home: 服务于大型强子对撞的志愿计算

             Ben Segal, 欧洲粒子物理研究所,瑞士日内瓦

10:35       案例分析 #2: MalariaControl.net: 服务于非洲疟疾流行病学的志愿计算

             Nicolas Maire, 瑞士热带研究所,瑞士巴塞尔

11:10        志愿计算、网格计算和云计算:合力的契机

             Derrick Kondo, 法国国家信息与自动化研究所,法国格勒诺布尔

12:00        研讨会结束(与报告者的非正式讨论持续到1230)


注册:免费,为保证座位请尽快在以下网址注册 http://indico.ihep.ac.cn/conferenceDisplay.py?confId=657

更多信息请联系: 中科院高能物理所计算中心陈刚博士.  Email:Gang.Chen@ihep.ac.cn