Computational and infrastructure support for the biosciences – David Abramson


Bioscience applications have grown to require sophisticated computational and data management infrastructure. Modern bioscience data sets, whether they are gathered from scientific instruments such as microscopes, multi-modal scanners, or gene sequencers generate enormous amounts of data that must be stored and accessed over a long planning horizon. Likewise, contemporary biological simulations both generate and consume large amounts of data, but also require significant computational power.

In this talk I will outline the approach taken at the University of Queensland to deliver this level of infrastructure, I will discuss HPC and Cloud platforms, including a novel HPC machine for data intensive science (FLashLite) as well as a pervasive distributed data fabric that allows access to data anywhere at any time (MeDiCI).

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