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Number of items: 6.

Knight, Louise, Stefanic, Polona, Cigale, Matej, Jones, Andrew and Taylor, Ian 2019. Towards extending the SWITCH platform for time-critical, cloud-based CUDA applications: Job scheduling parameters influencing performance. Future Generation Computer Systems 100 , pp. 542-556. 10.1016/j.future.2019.05.039
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Stefanic, Polona, Cigale, Matej, Jones, Andrew C., Knight, Louise, Taylor, Ian, Istrate, Cristiana, Suciu, George, Ulisses, Alexandre, Stankovski, Vlado, Taherizadeh, Salman, Salado, Guadalupe Flores, Koulouzis, Spiros, Martin, Paul and Zhao, Zhiming 2019. SWITCH workbench: A novel approach for the development and deployment of time-critical microservice-based cloud-native applications. Future Generation Computer Systems 99 , pp. 197-212. 10.1016/j.future.2019.04.008
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Stefanic, Polona, Cigale, M, Jones, Andrew C, Knight, L, Rogers, D, Quevedo Fernandez, F and Taylor, I 2019. Application-infrastructure co-programming: managing the entire complex application lifecycle. Presented at: 10th International Workshop on Science Gateways 2018, Edinburgh, Scotland, 13-15 June 2018. CEUR Workshop Proceedings, -.
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Knight, Louise, Stefanic, Polona, Cigale, Matej, Jones, Andrew C. and Taylor, Ian J. 2018. Towards a methodology for creating time-critical, cloud-based CUDA applications. Presented at: IT4RIs 18: Interoperable infrastructures for interdisciplinary big data sciences- Time critical applications and infrastructure optimization, Amsterdam, The Netherlands, 18 January 2018. 10.5281/zenodo.1162877
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Stefanic, Polona, Cigale, Matej, Fernandez, Francisco Quevedo, Rogers, David, Knight, Louise, Jones, Andrew C. and Taylor, Ian 2018. TOSCA-based SWITCH workbench for application composition and Infrastructure planning of time-critical applications. Presented at: The 3rd edition in the series of workshop on Interoperable infrastructures for interdisciplinary big data sciences (IT4RIs 18), Amsterdam, The Netherlands, 18 January 2018.

Knight, Louise 2017. Co-evolving protein sites: their identification using novel, highly-parallel algorithms, and their use in classifying hazardous genetic mutations. PhD Thesis, Cardiff University.
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