Data flow and data analysis at extreme scale

1. Data Flow and Data Analysis at
extreme scale
Faisal Imran

2. Many of the next generation Grand Challenges
applications will be “Data intensive”
Large volumes of data need to be moved among
processing elements
Attention has to be paid to the data flow
Data required for computation may reside near to
processing elements or may be far away as a central
repository
Systematic development of data input and output is
great challenge and need investment
Data Flow and Data Analysis at extreme scale
Overview

3. Novel Architecture is developed that give advantage of
localized processing or solid state disk processing
These architecture change the programming model
Preliminary set of recommendations are needed
Those recommendation must be shared with comparison
groups working on plan to address HPC
Coordinated investment in developing these technologies is
needed
Ad hoc and diffuse funding models are unlikely to succeed
Data Flow and Data Analysis at extreme scale
Overview

4. Success required single organization to get the
leading role in coordinating this investment
Data Flow and Data Analysis at extreme scale
Overview

5. On what basis next generation Grand Challenges
applications will be “Data intensive”
What are possible steps of data moving toward processing
elements
Which step of data flow needs attention most and why?
Identify challenging aspects in systematic development
Data Flow and Data Analysis at extreme scale
Research Questions

6. What are aspects that give advantage of using Novel
Architecture in localized processing
What are aspects that give advantage of using Novel
Architecture in solid state disk processing
Identify the reasons in Novel Architecture that change the
programing model
What are the reasons needed for Coordinated investment
in developing technologies
Data Flow and Data Analysis at extreme scale
Research Questions

7. On what basis Ad hoc and diffuse funding models are
unlikely to succeed ?
What are the reasons to give leading role to single
organization?
Data Flow and Data Analysis at extreme scale
Research Questions