| Nr |
26 (Research article) |
| Authors |
Kunszt, Peter; Malmström, Lars; Fantini, Nicola; Subholt, Wibke; Lautenschlager, Marcel; Reifler, Roland; Ruckstuhl, Stefan |
| Title |
Accelerating 3D Protein Modeling Using Cloud Computing |
| Journal |
Seventh IEEE International Conference on e-Science Workshops (2011) 2011 166-169 |
| DOI |
10.1109/eScienceW.2011.12 |
| Citations |
5 citations (journal impact: 0.0) |
| Abstract |
Biology as a scientific domain needs a growing amount of computational power. However not every researcher has access to high performance computing resources locally. Today it is easy to buy computing resources on demand from public cloud providers like Amazon and IBM paying only for the amount of computing that is really being used. However the difficulty of setting up the simulation and operating the virtual infrastructure is also often a showstopper for scientists to use cloud resources. This gap is filled by innovative software as a service providers like the ETH Spin-off company Cloud Broker GmbH enabling a more direct access to commercial clouds for researchers in life science. Here we report on a joint project between the ETH Zurich IBM and Cloud Broker to perform a large-scale 3D protein model simulation using the application Rosetta on the new IBM Smart Cloud Enterprise. |
| Synopsis |
Large-scale Rosetta simulations carried out on the IBM cloud |