Scientific application performance on HPC, private and public cloud resources: A case study using climate, cardiac model codes and the NPB benchmark suite
The ubiquity of on-demand cloud computing resources enables scientific researchers to dynamically provision and consume compute and storage resources in response to science needs. Whereas traditional HPC compute resources are often centrally managed with
|Collections||ANU Research Publications|
|Source:||Proceedings of the 2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2012|
|01_Strazdins_Scientific_application_2012.pdf||478.17 kB||Adobe PDF||Request a copy|
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