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The MCC Home


Breaking News!

23rd January 2017: The MCC is online!

Many thanks to the Data Centre Move Team.

Introduction

Introducing the successor to MCC: MonARCH 

As of April 2016, MonARCH is now the preferred cluster for Monash researchers. Visit the MonARCH Home for more information.

The Monash Campus Cluster (MCC) is a general-purpose, heterogeneous Linux cluster. A cluster is presented to users as a single point-of-access to run calculations on its constituent servers. There are over 200 servers of different CPU and memory configurations, to match diverse computational workloads: Intel Xeon and AMD Opteron CPUs of various clock speeds, and from 4 GB to 1 TB RAM. For peace-of-mind, important data files and users' home directories (e.g.  /nfs/home/) are kept on the Monash Large Research Data Store (LaRDS). Data held in LaRDS is reliably backed-up and secure, see LaRDS overview.

With over 3,000 CPU cores, the MCC is an invaluable tool for large-scale computationally-intensive simulations and analyses for researchers. In 2012, the MCC provided over 16 million CPU hours of compute time to over 300 users from Arts, Business and Economics, Information Technology, Medicine, Pharmacy, Science, and Engineering.

The MCC service is made possible due to continuing administrative, technical and operational support from the eSolutions teams: Research Support Services, Servers-and-Storage, and Networks with the coordination and strategic direction by the Monash eResearch Centre.

If you have found the MCC useful for your research, we will be very grateful if you kindly acknowledge us with a text along the lines of:

This research was supported in part by the Monash eResearch Centre and eSolutions-Research Support Services through the use of the Monash Campus HPC Cluster.

If you have used the high-memory capability, you may use: This research was supported in part by the Monash eResearch Centre and eSolutions-Research Support Services through the use of the high-memory capability on the Monash Campus HPC Cluster. 

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