Shortly, we'll be switching our helpdesk system to ServiceNow. The current email@example.com contact email will continue to work, but there will also be a web-based form to submit support and software installation requests. We're not anticipating any disruptions, and the current helpdesk system will be run in parallel for existing tickets. The cut-over is currently planned for October 8.
Spartan is High Performance Computing (HPC) system operated by Research Platform Services (ResPlat) at The University of Melbourne. It combines a high performance bare-metal compute with flexible cloud infrastructure to suit a wide range of use-cases.
If your computing jobs take too long on your desktop computer, or are simply not possible due to a lack of speed and memory, a HPC system like Spartan can help.
Spartan Daily Weather Report (20180925)
- Utilisation of disk is at 37% from the Ceph pool.
- Spartan is very busy on cloud partion, with close to 97% node allocation.
- Spartan is less busy on physical partition, with close to 86% node allocation.
- Spartan is very busy on on GPGPU partition with 98% node allocation.
- Many cloud nodes out (76), mainly due to qh2-uom migration.
We run regular one-day courses on HPC, shell scripting and parallel programming. ResPlat also offer training in a wide range of other digital tools to accelerate your research.
Signup here: http://melbourne.resbaz.edu.au/participate
If you can't find an answer here, need advice, or otherwise stuck, you can contact our support team at firstname.lastname@example.org
Please submit one topic per ticket. If you require a assistance with a separate matter, compose a new ticket. Do not reply to existing or closed tickets.
Spartan has a number of partitions available for general usage. A full list of partitions can be viewed with the command
208 nodes, each with 8 cores and 62 GB of RAM, allocated from the Melbourne node of the Nectar research cloud. This partition is best suited for general-purpose single-node jobs. Multiple node jobs will work, but communication between nodes will be comparatively slow.
20 nodes, each with 12 cores and 251 GB of RAM. Each node is connected by high-speed 56GigE networking with 1.15 µsec latency, making this partition suited to multi-node jobs (e.g. those using OpenMPI).
3 nodes, each with 12 cores, 251 GB of RAM, and four NVidia K80 GPUs. This partition also makes use of high-speed networking.
72 nodes, each with four NVIDIA P100 GPUs. See here for more details.
2 nodes, each with 36 cores and 1.5 TB of RAM. This partition is suited to memory-intensive single-node workloads.
There are also special partitions which are outside normal walltime constraints. In particular,
shortgpgpu should be used for quick test cases; the partitions have a maximum time constraint of one hour.
If you use Spartan to obtain results for a publication, we'd appreciate if you'd cite our service, including the DOI below. This makes it easy for us demonstrate research impact, helping to secure ongoing funding for expansion and user support.
Lev Lafayette, Greg Sauter, Linh Vu, Bernard Meade, "Spartan Performance and Flexibility: An HPC-Cloud Chimera", OpenStack Summit, Barcelona, October 27, 2016. doi.org/10.4225/49/58ead90dceaaa
If you are using the LIEF GPGPU cluster for a publication, please include the following citation in the acknowledgements section of your paper:
This research was undertaken using the LIEF HPC-GPGPU Facility hosted at the University of Melbourne. This Facility was established with the assistance of LIEF Grant LE170100200.
Spartan is just one of many research IT resources offered by The University of Melbourne, or available from other institutions.
Nectar is a national initiative to provide cloud-based Infrastructure as a Service (IaaS) resources to researchers. It's based on OpenStack, and allows researchers on-demand access to computation instances, storage, and a variety of application platforms and Virtual Laboratories.
Spartan runs some of it's computation resources in the Nectar cloud.
Melbourne Bioinformatics run two large HPC systems for life sciences researchers.
Multi-modal Australian ScienceS Imaging and Visualisation Environment (MASSIVE)
MASSIVE is a HPC system at Monash University and the Australian Synchrotron which is optimized for imaging and visualization. It can run batched jobs, as well as provide a desktop environment for interactive work.