M3
2/Feb/2025 An update on the upcoming file system migration
As previously advised, /scratch will be decommissioned and we have
commenced work to migrate /scratch to /scratch2.
We have now updated the user_info command so that it now reports the
project usage and quotas for both scratch spaces.
There is no action needed at your end at this time.
23/Jan/2025 Announcement of upcoming file system migration
The M3 /scratch file system will be decommissioned by May 2025.
We will be conducting a migration of your /scratch folders to the new /scratch2
space. The cutover is scheduled on the 1st of April 2025.
There is no action needed at your end at this time.
More details to follow.
18/Dec/2024: We are still in the process of porting our old M3 documentation from https://old-docs.massive.org.au/. As part of this process, we have aimed to improve our M3 docs by removing outdated content, restructuring, and rewriting some pages.
For a near-replica of the old docs, please see https://docs.erc.monash.edu/old-M3/.
If you identify any content that is missing from these new docs, or otherwise have any feedback about these docs, please let us know! In the meantime, you may still find what you're looking for in our old docs.
Welcome to the M3 user documentation! You can explore all of our pages in the left sidebar. If you don't see this sidebar, click on the the triple bar ≡ in the top-left to reveal the sidebar.
What is M3?
M3 is a High-Performance Computing (HPC) cluster, and is the third stage of MASSIVE. M3 allows researchers to process large amounts of complex data by parallelising their workloads across many computers. Since 2010, MASSIVE has played a key role in driving discoveries across many disciplines including biomedical sciences, materials research, engineering and geosciences.
What hardware does M3 have?
M3 is made up of a large number of (mostly Intel) CPUs and NVIDIA GPUs connected by fast Mellanox (NVIDIA) InfiniBand interconnects. The CPUs are quite powerful on their own, but M3's real benefit is that your workload can be split across many CPUs at once, allowing parallel workloads to be executed much more quickly.
Is M3 right for me?
If you are a Monash researcher who needs to process large amounts of data more quickly than is possible on your own computer, then M3 can speed up your work. If you only have a relatively light workload, particularly one that does not rely on GPUs, then MonARCH is effectively a smaller version of M3 that may be more suitable for you.
How can I use M3?
If you're interested in using M3, please see our Getting Started guide. Your usage of M3 is subject to the MASSIVE Terms of Use.