Download - Who are you and why you care about this
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Who are you and why you care about this
I am Hank Childs, Lawrence Berkeley and UC Davis My professional career to date has been developing and delivering
big data visualization solutions to users I am currently responsible for delivering HPC visualization and
analysis software to many different communities: VACET / SciDAC (CSWA) Longhorn / XSEDE (CSWA) 10-05 Climate community (CSWA) NEAMS (PI) NERSC Analytics team
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What research activities are you doing in this area?
Non-research activities: Software development Frontline support
Research: What are the bottlenecks
at massive concurrency? How can we utilize hybrid
parallelism to achieve better performance and scalability?
How can we make non-embarrassingly parallel algorithms more scalable?
& more…
1 trillion cell mesh rendered on 16K cores of LBNL Franklin
4608^2 image using 216K cores of ORNL Jaguar
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What have you developed, where can people download it, and why should
they use it? VisIt is an open
source, richly featured, turn-key application for large data.
http://www.llnl.gov/visit Popular
R&D 100 award in 2005
Used on many of the Top500
>>>100K downloads217 pin reactor cooling simulation
Run on ¼ of Argonne BG/P Image credit: Paul Fischer, ANL
1 billion grid points / time slice
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What are the GAPS in this area?
I will let everyone else talk about in situ processing, massively concurrency, fault tolerance, etc.
Our community has invested massively in CPU-based software. This investment is in the hundreds of
person-years. (VisIt alone represents 75 man-years,
1.5M lines of code) How are we going to translate this
investment to the accelerator environment?
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Tell us what you think the future is
We are envisioning machines where we won’t be able to: get the data off the machine for later
storage regularly post-process data
This is a step backwards for the user. We must innovate approaches that allow
users to continue to do critical activities, such as interactive exploration