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Panel: Data-Intensive Workfmows Panel Don Preuss Kirk Jordan - PowerPoint PPT Presentation

Panel: Data-Intensive Workfmows Panel Don Preuss Kirk Jordan Massimo Noro Jake Carroll Starfjsh Storage IBM Research Unilever UQ - QBI 4 May 2016 Introductjon We have heard about Scalable High Performance FLASH systems,


  1. Panel: Data-Intensive Workfmows Panel Don Preuss Kirk Jordan Massimo Noro Jake Carroll Starfjsh Storage IBM Research Unilever UQ - QBI 4 May 2016

  2. Introductjon We have heard about • Scalable High Performance FLASH systems, • Applicatjon and Workload-Specifjc Workfmows, • Workfmows for Specifying System Acquisitjons, and • Data Intensive workfmows The purpose for the panel • Extend the conversatjon • Talk about real outcomes • Discuss the future of the industry 2 | Data-Intensive Workfmows | Ian Corner

  3. Panellists Showcase workfmows: • Kirk Jordan, – IBM Research / Hartree STFC • Massimo Noro , – Unilever • Jake Carroll , – Queensland Brain Instjtute - University of Queensland 3 | Data-Intensive Workfmows | Ian Corner

  4. Kirk Jordan IBM Distinguished Engineer CSO IBM Research UK Visiting Scientist Scientific Computing Department STFC Data Intensive Workflows Co-Design of Data Centric Systems 4 | Data-Intensive Workfmows

  5. Massimo Noro Science Leader HPC Director of Relationship with Hartree Centre Bigger, better, faster innovation for Unilever through “in silico first” approach. 5 | Data-Intensive Workfmows

  6. Jake Carroll Senior ICT Manager Research High throughput workloads in Neuroscientific Microscopy. 6 | Data-Intensive Workfmows

  7. Panel – Data-Intensive Workfmows Workfmows: Can we rethink our industries “challenges” as workfmow problems? 7 | Data-Intensive Workfmows

  8. Panel – Data-Intensive Workfmows Success: What does this look like? 8 | Data-Intensive Workfmows

  9. Panel – Data-Intensive Workfmows Partnership: Do workfmows facilitate ecosystems of innovatjon? 9 | Data-Intensive Workfmows

  10. Audience Questjons

  11. Roadmap Is this worthy of further investjgatjon? If workfmows proved successful would more people be interested? Strategy for collaboratjon? What government plans would feed into this? 11 | Data-Intensive Workfmows | Ian Corner

  12. Thank you

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