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 and GPGPU 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.
Please not that the University of Melbourne Research Cloud will have a scheduled maintenance from December 17, 9am, to December 18, 6pm
This will also effect the spartan-rc nodes, including the "cloud" partition.
Walltimes have already been reduced to account for this.
Spartan Daily Weather Report (20181213)
- CephFS usage: 846T Free 332T
- Spartan is very busy on cloud partition, with close to 99% node allocation.
- Spartan is very busy on physical partition, with close to 100% node allocation.
- Spartan is busy on the GPGPU partition with 93% node allocation.
- Many cloud nodes out (67), 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 email@example.com
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
|cloud||210||8||62GB||Intel(R) Xeon(R) CPU E5-2698 v3 @ 2.30GHz|
|longcloud||2||8||62GB||Intel(R) Xeon(R) CPU E5-2698 v3 @ 2.30GHz||Max walltime of 90 days|
|physical||19||12||254GB||Intel(R) Xeon(R) CPU E5-2643 v3 @ 3.40GHz|
|6||32||508GB||Intel(R) Xeon(R) CPU E5-2683 v4 @ 2.10GHz|
|bigmem||2||36||1540GB||Intel(R) Xeon(R) CPU E5-2697 v4 @ 2.30GHz|
|phi||4||256||190GB||Intel(R) Xeon Phi(TM) CPU 7230 @ 1.30GHz||Based on the Xeon Phi Knights Landing architecture|
|snowy||31||32||127GB||Intel(R) Xeon(R) CPU E5-2698 v3 @ 2.30GHz||Currently reserved for Melbourne Bioinfomatics users|
|mig||12||32||127GB||Intel(R) Xeon(R) CPU E5-2698 v3 @ 2.30GHz||Reserved for Melbourne Integrative Genomics users|
|gpgpu||73||24||127GB||Intel(R) Xeon(R) CPU E5-2650 v4 @ 2.20GHz||4 P100 Nvidia GPUs per node|
This partition is best suited for general-purpose single-node jobs. Multiple node jobs will work, but communication between nodes will be comparatively slow.
Each node is connected by high-speed 25Gb networking with 1.15 Âµsec latency, making this partition suited to multi-node jobs (e.g. those using OpenMPI).
See here for more details.
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.
By adding --time=00:59:00 to your cloud partition job, your job will run in a dedicated reservation, ensuring your job runs faster
Spartan uses a storage system called CephFS. CephFS is a highly scalable, parallel and robust filesystem.
The total Spartan storage is broken up into 3 areas:
NB: /home and /data/cephfs share the same pool of disks
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. From 2019, Melbourne Bioinformatics systems will be incorporated into Spartan.
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.