如何设置集群/网格计算机

发布于 2024-12-05 18:45:41 字数 317 浏览 6 评论 0原文

我有三台计算机,我想知道如何将它们聚集在一起,以便我拥有一台具有额外计算能力的计算机(主计算机)。我想在 Windows(如果适用)中通过家庭网络(主要)执行此操作,并且能够在遇到其他计算机时进行扩展。

(1 个主) Intel 双核 1.86 GHz 3 GB RAM (32 位) ~300 GB HDD (Win 7) (2) AMD 2.1 GHz 单核 3 GB 内存(64 位)~300 个硬盘(Win 7) (3) AMD 1.8 GHz 单核 256 Mb 内存。 (32 位?)40 GB HDD(W2K 或 XP。现在正在尝试决定。)

感谢您重温一遍并提供任何建议。

I have three computers,and I was wondering how I could go about clustering them together so I have a single computer (main) that has extra computing power. I would like to do this in windows (if applicable) for (main) over a home network with the ability to expand as I come across other computers.

(1 main) Intel Dual core 1.86 GHz 3 GB Ram (32 bit) ~300 GB HDD (Win 7)
(2) AMD 2.1 GHz Single core 3 GB ram (64 bit) ~300 HDD (Win 7)
(3) AMD 1.8 GHz Single core 256 Mb ram. (32 bit?) 40 GB HDD (W2K or XP. Trying to decide as of right now.)

Thanks for giving this a once over, and any advice.

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旧伤慢歌 2024-12-12 18:45:41

我认为这很大程度上取决于您想要在集群上运行的应用程序类型 - 从您的问题中尚不清楚。如果您希望能够运行 seti@home 的东西,那么您只需要网络连接即可。如果您想运行专门支持并行性的程序(例如某些光线追踪器),那么它们有时会有自己的并行性层(例如 MPI),这需要网络连接,有时需要共享文件系统。如果您主要运行 Windows 桌面应用程序,那么我不清楚如何在集群配置中使用它们 - 您可以在每个应用程序上设置远程访问,以便您可以从单个控制台连接到每个应用程序并在其上运行不同的应用程序每一个。

经典的“beowulf”配置可能具有 MPI 和共享文件系统。

I think that very much depends on the kind of application you want to run on your cluster - its not clear from your question. If you want to be able to run seti@home stuff, then you don't need much more than a network connection. If you want to run programs that specifically support parallelism (such as some ray tracers) then they'll sometimes have their own parallelism layer (such as MPI) which will require a network connection and sometimes a shared file system. If you're running mainly windows desktop applications, then its unclear to me how you can use them in a clustered configuration - you could set up remote access on each one so that you can connect to each from a single console and run different applications on each one.

A classic 'beowulf' configuration would probably have MPI and a shared filesystem.

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