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

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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,


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Panel: Data-Intensive Workfmows

Panel

Kirk Jordan IBM Research

4 May 2016

Massimo Noro Unilever Jake Carroll UQ - QBI Don Preuss Starfjsh Storage

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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

Data-Intensive Workfmows | Ian Corner 2 |

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Panellists

Showcase workfmows:

  • Kirk Jordan,

– IBM Research / Hartree STFC

  • Massimo Noro,

– Unilever

  • Jake Carroll,

– Queensland Brain Instjtute - University of Queensland

Data-Intensive Workfmows | Ian Corner 3 |

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Kirk Jordan

Data-Intensive Workfmows 4 |

IBM Distinguished Engineer CSO IBM Research UK Visiting Scientist Scientific Computing Department STFC Data Intensive Workflows Co-Design of Data Centric Systems

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Massimo Noro

Data-Intensive Workfmows 5 |

Bigger, better, faster innovation for Unilever through “in silico first” approach. Science Leader HPC Director of Relationship with Hartree Centre

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Jake Carroll

Data-Intensive Workfmows 6 |

High throughput workloads in Neuroscientific Microscopy. Senior ICT Manager Research

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Workfmows: Can we rethink our industries “challenges” as workfmow problems?

Data-Intensive Workfmows

Panel – Data-Intensive Workfmows

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Success: What does this look like?

Data-Intensive Workfmows

Panel – Data-Intensive Workfmows

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Partnership: Do workfmows facilitate ecosystems of innovatjon?

Data-Intensive Workfmows

Panel – Data-Intensive Workfmows

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Audience Questjons

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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?

Data-Intensive Workfmows | Ian Corner 11 |

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Thank you