Zobrazeno 1 - 10
of 36
pro vyhledávání: '"J. K. Evans"'
Autor:
D. S. Vicario, Mimi L. Phan, Alizée Meillère, Stefan Leitner, B. A. Bell, Katherine L. Buchanan, J. K. Evans
Publikováno v:
Proceedings. Biological sciences. 285(1887)
In birds, vocal learning enables the production of sexually selected complex songs, dialects and song copy matching. But stressful conditions during development have been shown to affect song production and complexity, mediated by changes in neural d
In birds, vocal learning enables the production of sexually selected complex songs, dialects and song copy matching. But stressful conditions during development have been shown to affect song production and complexity, mediated by changes in neural d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e1bfdab111f67fc951acb79e91f3c9c
Publikováno v:
Informatics, Vol 4, Iss 4, p 45 (2017)
Informatics; Volume 4; Issue 4; Pages: 45
Informatics; Volume 4; Issue 4; Pages: 45
To ensure seamless, programmatic access to data for High Performance Computing (HPC) and analysis across multiple research domains, it is vital to have a methodology for standardization of both data and services. At the Australian National Computatio
Autor:
Dale Roberts, Robert Woodcock, Norman Mueller, Simon Oliver, Alex Ip, Arnold G. Dekker, Medhavy Thankappan, Lesley Wyborn, Adam Lewis, Brendan P. Brooke, James R. Irons, Leo Lymburner, Stuart Minchin, Barbara Ryan, B. J. K. Evans, Matthew B. J. Purss
Publikováno v:
International Journal of Digital Earth. 9:106-111
The effort and cost required to convert satellite Earth Observation (EO) data into meaningful geophysical variables has prevented the systematic analysis of all available observations. To overcome these problems, we utilise an integrated High Perform
Publikováno v:
Data Science Journal, Vol 16 (2017)
Data Science Journal; Vol 16 (2017); 20
Data Science Journal; Vol 16 (2017); 20
The National Computational Infrastructure (NCI) manages over 10 PB research data, which is co-located with the high performance computer (Raijin) and an HPC class 3000 core OpenStack cloud system (Tenjin). In support of this integrated High Performan
Publikováno v:
D-Lib Magazine. 23
Scientific research is published in journals so that the research community is able to share knowledge and results, verify hypotheses, contribute evidence-based opinions and promote discussion. However, it is hard to fully understand, let alone repro
Publikováno v:
D-Lib Magazine.
This paper demonstrates the connectivity graphs made by Research Data Switchboard (RD-Switchboard) using NCI's metadata database. Making research data connected, discoverable and reusable are some of the key enablers of the new data revolution in res
Autor:
B. J. K. Evans, Lesley Wyborn
Publikováno v:
Geological Society of America Abstracts with Programs.
Publikováno v:
IFIP Advances in Information and Communication Technology ISBN: 9783319159935
ISESS
ISESS
A 3-year investigation is underway into the performance of applications used in the Australian Community Climate and Earth System Simulator on the petascale supercomputer Raijin hosted at the National Computational Infrastructure. Several application
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd70cf802fc7db591e181c42e3136879
https://doi.org/10.1007/978-3-319-15994-2_60
https://doi.org/10.1007/978-3-319-15994-2_60
Autor:
Tim Pugh, Jingbo Wang, Kashif Gohar, Alex Ip, Claire Trenham, David Porter, Lesley Wyborn, Joseph Antony, B. J. K. Evans, Gavin Bell, Christopher C. R. Allen, Jon Smillie
Publikováno v:
IFIP Advances in Information and Communication Technology ISBN: 9783319159935
ISESS
ISESS
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 h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4e63871a47b8e4171da86a024048e8d2
https://doi.org/10.1007/978-3-319-15994-2_58
https://doi.org/10.1007/978-3-319-15994-2_58