“Orbit@Home”的版本间差异
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| + | {{Infobox Project | ||
| + | | name =Orbit@Home | ||
| + | | logo =[[Image:Orbit_logo.png|230px]] | ||
| + | | screenshot =无屏保图形 | ||
| + | | caption = | ||
| + | | developer =Pasquale Tricarico | ||
| + | | released =2005年11月 | ||
| + | | operating system =Windows/Linux/Mac | ||
| + | | platform =[[BOINC]] | ||
| + | | program size = | ||
| + | | work unit info = | ||
| + | | status =运行中/开放注册 | ||
| + | | genre =物理类 | ||
| + | | optimization =无 | ||
| + | | website =http://orbit.psi.edu/ | ||
| + | }} | ||
| + | |||
| + | The mission of orbit@home is to apply distributed computing to the study of Solar System dynamics. Distributed computing provides an unmatched amount of computational power, enabling qualitatively new research levels in terms of detail and accuracy. | ||
| + | |||
| + | Many are the open problems that we plan to study with orbit@home. At first, we will focus on Near Earth Asteroid (NEA) research, focusing into the areas below: | ||
| + | |||
| + | *NEA search strategies: we are studying a search strategy that maximizes the volume covered in the space of the orbital elements of the NEAs; its implementation requires the availability of a very significant amount of computing power, making the distributed computing approach the perfect candidate; [http://adsabs.harvard.edu/abs/2007LPI....38.2357T [abstract]] | ||
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| + | *NEA impact hazard monitoring: we are studying the applicability and advantages of using a distributed computing system to monitor the impact hazard by NEAs; when compared to standard systems, the distributed computing approach provides better scalability, responsiveness, and accuracy. [http://adsabs.harvard.edu/abs/2004DPS....36.3217T [abstract]] | ||
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| + | Public outreach and education represents also a very important aspect of the system, because the public provides the main distributed computing power and participates in the science being studied. | ||
| + | |||
| + | {{JoinBoincProject | ||
| + | |Project=Orbit@Home | ||
| + | |URL=http://orbit.psi.edu/oah/ | ||
| + | }} | ||
| + | |||
[[Category:分布式计算项目]][[Category:物理化学类项目]][[Category:BOINC 平台上的项目]][[Category:Orbit@Home]] | [[Category:分布式计算项目]][[Category:物理化学类项目]][[Category:BOINC 平台上的项目]][[Category:Orbit@Home]] | ||
2009年10月11日 (日) 12:23的版本
|
Orbit@Home | |
|---|---|
 Orbit@Home logo | |
| 无屏保图形 | |
| 开发者 | Pasquale Tricarico |
| 版本历史 | 2005年11月 |
| 运算平台 | Windows/Linux/Mac |
| 项目平台 | BOINC |
| 程序情况 | |
| 任务情况 | |
| 项目状态 | 运行中/开放注册 |
| 项目类别 | 物理类 |
| 优化程序 | 无 |
| 计算特点 | CPU密集： |
| 官方网址 | Orbit@Home |
|
[{{{rss}}} 通过 RSS 获取项目新闻] |
The mission of orbit@home is to apply distributed computing to the study of Solar System dynamics. Distributed computing provides an unmatched amount of computational power, enabling qualitatively new research levels in terms of detail and accuracy.
Many are the open problems that we plan to study with orbit@home. At first, we will focus on Near Earth Asteroid (NEA) research, focusing into the areas below:
- NEA search strategies: we are studying a search strategy that maximizes the volume covered in the space of the orbital elements of the NEAs; its implementation requires the availability of a very significant amount of computing power, making the distributed computing approach the perfect candidate; [abstract]
- NEA impact hazard monitoring: we are studying the applicability and advantages of using a distributed computing system to monitor the impact hazard by NEAs; when compared to standard systems, the distributed computing approach provides better scalability, responsiveness, and accuracy. [abstract]
Public outreach and education represents also a very important aspect of the system, because the public provides the main distributed computing power and participates in the science being studied.
如何加入项目
该项目基于 BOINC 平台，简要的加入步骤如下（已完成的步骤可直接跳过）：
- 下载并安装 BOINC 的客户端软件（官方下载页面或程序下载）
- 点击客户端简易视图下的“Add Project”按钮，或高级视图下菜单中的“工具->加入项目”，将显示向导对话框
- 点击下一步后在项目列表中找到并单击选中 Orbit@Home 项目（如未显示该项目，则在编辑框中输入项目网址：http://orbit.psi.edu/oah/ ），然后点击下一步
- 输入您可用的电子邮件地址，并设置您在该项目的登录密码（并非您的电子邮件密码）
- 再次点击下一步，如项目服务器工作正常（并且有适合自身操作系统的计算程序），即已成功加入项目
更详细的加入方法说明，请访问 BOINC 新手指南 或 BOINC 使用教程。
本站推荐您加入 Team China 团队，请访问项目官方网站的 团队检索页面，搜索（Search）并进入 Team China 的团队页面，点击页面中的 Join 并输入用户登录信息即可加入！