The NCI High Performance Computing and High Performance Data Platform to Support the Analysis of Petascale Environmental Data Collections - Environmental Software Systems. Infrastructures, Services and Applications Access content directly
Conference Papers Year : 2015

The NCI High Performance Computing and High Performance Data Platform to Support the Analysis of Petascale Environmental Data Collections

Ben Evans
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  • PersonId : 983335
Lesley Wyborn
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  • PersonId : 983336
Tim Pugh
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  • PersonId : 983337
Chris Allen
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  • PersonId : 983338
Joseph Antony
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  • PersonId : 983339
Kashif Gohar
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  • PersonId : 983340
David Porter
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  • PersonId : 983341
Jon Smillie
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  • PersonId : 983342
Claire Trenham
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  • PersonId : 983343
Jingbo Wang
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  • PersonId : 983344
Alex Ip
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  • PersonId : 983345
Gavin Bell
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  • PersonId : 983346

Abstract

The National Computational Infrastructure (NCI) at the Australian National University (ANU) has co-located a priority set of over 10 PetaBytes (PBytes) of national data collections within a HPC research facility. The facility provides an integrated high-performance computational and storage platform, or a High Performance Data (HPD) platform, to serve and analyse the massive amounts of data across the spectrum of environmental collections – in particular from the climate, environmental and geoscientific domains. The data is managed in concert with the government agencies, major academic research communities and collaborating overseas organisations. By co-locating the vast data collections with high performance computing environments and harmonising these large valuable data assets, new opportunities have arisen for Data-Intensive interdisciplinary science at scales and resolutions not hitherto possible.
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hal-01328609 , version 1 (08-06-2016)

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Ben Evans, Lesley Wyborn, Tim Pugh, Chris Allen, Joseph Antony, et al.. The NCI High Performance Computing and High Performance Data Platform to Support the Analysis of Petascale Environmental Data Collections. 11th International Symposium on Environmental Software Systems (ISESS), Mar 2015, Melbourne, Australia. pp.569-577, ⟨10.1007/978-3-319-15994-2_58⟩. ⟨hal-01328609⟩
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