Overview
The supercomputer uses Mamba, a high-performance parallel package manager, to allow users to install the Python modules they need. It also plays a pivotal role in optimizing software environments on supercomputers. In the upcoming instructions, we'll explore the process of loading Mamba modules and delve into creating and loading new environments.
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The supercomputers use mamba instead of conda and pip. mamba is a parallel and C++ implementation of conda that provides a much faster experience for setting up Python environments on the supercomputer. If you’re familiar with using conda, all you will need to do is replace the word conda in the command with the word mamba |
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. pip is not stable in a multi-user environment like a supercomputer, so Research Computing discourages the use of pip except when necessary. |
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Be very careful with pip, it can easily break a mamba environment! |
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