Argus Background

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Argus Background

Argus vs HPC

Not all computing tasks are appropriate for HPC (e.g. NCI Gadi or Pawsey Setonix); these systems are designed for batch-oriented rather than interactive computing. They excel with workloads that are highly parallel (i.e. can processed by multiple CPUs simultaneously), or which require very large amounts of memory (2TB and beyond). There are many workloads that do not fit this model and which cannot make use of the multi-node or high-memory capabilities of HPC systems. Many of these tasks still require computational capability that exceeds that available in common laptop or desktop computers.

Argus seeks to address these gaps through the phased implementation of a research computing platform upon which virtual research environments, especially graphical virtual research desktops can be built and made available. Below image compares different research computing services.

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