https://isangfeng.github.io/tags/singularity/Recent content in Singularity on 桑峰Hugo -- gohugo.iozh-cn© 2026 桑峰Mon, 21 Feb 2022 00:00:00 +0000https://isangfeng.github.io/posts/2022/2022-02-21-singularity5/Mon, 21 Feb 2022 00:00:00 +0000https://isangfeng.github.io/posts/2022/2022-02-21-singularity5/<h2 class="relative group">运行MATLAB <div id="运行matlab" class="anchor"></div> <span class="absolute top-0 w-6 transition-opacity opacity-0 -start-6 not-prose group-hover:opacity-100 select-none"> <a class="text-primary-300 dark:text-neutral-700 !no-underline" href="#%e8%bf%90%e8%a1%8cmatlab" aria-label="锚点">#</a> </span> </h2> <p>使用matlab镜像运行matlab可使用如下命令：</p>https://isangfeng.github.io/posts/2022/2022-02-17-singularity4/Thu, 17 Feb 2022 00:00:00 +0000https://isangfeng.github.io/posts/2022/2022-02-17-singularity4/<p>以下是记录本人在使用学院高性能计算平台运行singularity中遇到的问题以及相应的解决方法，不一定适用于其他场景。</p>https://isangfeng.github.io/posts/2021/2021-06-01-singularity3/Tue, 01 Jun 2021 00:00:00 +0000https://isangfeng.github.io/posts/2021/2021-06-01-singularity3/<p>在Windows 10的Linux子系统（<strong>WLS</strong>）中安装singularity(version=2.6.0)，并创建镜像。</p>https://isangfeng.github.io/posts/2021/2021-05-20-singularity2/Thu, 20 May 2021 00:00:00 +0000https://isangfeng.github.io/posts/2021/2021-05-20-singularity2/<h2 class="relative group">ERROR : Base home directory does not exist within the container: /brain <div id="error---base-home-directory-does-not-exist-within-the-container-brain" class="anchor"></div> <span class="absolute top-0 w-6 transition-opacity opacity-0 -start-6 not-prose group-hover:opacity-100 select-none"> <a class="text-primary-300 dark:text-neutral-700 !no-underline" href="#error---base-home-directory-does-not-exist-within-the-container-brain" aria-label="锚点">#</a> </span> </h2> <p>用沙盒模式创建镜像，然后以交互方式进入镜像后创建/brain目录。之后将沙盒格式的镜像打包为.img文件即可。</p>https://isangfeng.github.io/posts/2021/2021-05-19-singularity/Wed, 19 May 2021 00:00:00 +0000https://isangfeng.github.io/posts/2021/2021-05-19-singularity/<p>简单来讲，Singularity是一种可以跨平台执行的小型虚拟机。在数据分析时，首先往往要搭建运行环境，比如R，python等。为了保证结果的可靠性，通常要保证跨设备环境的一致性。但是在跨运算设备之间搭建相同的环境是一项比较麻烦的事情。因此，如果只搭建一次环境，就可以在各个设备上使用，就比较轻松了。Singularity和Docker就提供了这样的功能。笔者在这里使用Singularity<a href="https://singularity.lbl.gov/index.html" target="_blank" rel="noreferrer">1</a>，版本为2.4.6。</p>