M3
For operational reasons, we have made the decision to disable all debugging on M3 till further notice. Tools such as gdb, strace and VSCode debugging will not function. More information will be provided as it becomes available.
High GPU demand on M3 has driven up wait times across the cluster. To keep access fair for everyone, we are actively monitoring GPU utilisation and will cancel jobs that reserve GPUs but leave them idle. Please refer to this page for information on how to use M3 resources effectively.
Description:
Essential OS and Kernel updates are being applied to M3 over the next week. Reservations for the compute nodes are already in place. Updating the login and dtn nodes may have an affect on users.
Remember: the best way to login to our nodes is using the DNS aliases m3.massive.org.au and m3-dtn.massive.org.au as these will always point to a valid node.
- m3-login1 and m3-dtn1 will be updated on Wed 29th July. DNS entries for our front-facing nodes have been updated accordingly, so please continue to login using m3.massive.org.au and m3-dtn.massive.org.au
- Your active Strudel Desktop session may disconnect. If this happens please reconnect via the Web interface. (The underlying Slurm job will be unaffected.)
- Any ssh sessions to the to-be-updated login nodes will disconnect. If so please login again using m3.massive.org.au
- m3-login2 and m3-dtn2 will be updated August 3rd. Continue to use the DNS aliases to login.
For any queries or concerns, please contact the HPC team at: hpc@monash.edu
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 (formerly known as 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) RDMA over Converged Ethernet. 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 Monash PhD students can apply for a PEACH project which gives you access a small partition 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.