ScalableKD

Scalable Analysis Methods and In Situ Infrastructure for Extreme Scale Knowledge Discovery

Scalable Analysis Methods and In Situ Infrastructure for Extreme Scale Knowledge Discovery

Core Team

E-mail: ewbethel@lbl.gov
E-mail: mwolf@cc.gatech.edu
E-mail: patrick.oleary@kitware.com
E-mail: venkat@anl.gov
E-mail: ghweber@lbl.gov
Phone: 1 (201) 460-4700
E-mail: epd@ilight.com
Team Member: Brad Whitlock
E-mail: bjw@ilight.com
Team Member: John Wu
Phone: 1 (510) 486-6609
E-mail: kwu@lbl.gov
Team Member: Nicola Ferrier
E-mail: nferrier@anl.gov
Team Member: Dmitriy Morozov
E-mail: dmorozov@lbl.gov
Team Member: Dr. Greg Eisenhauer
Phone: 1 (404) 550-1269
E-mail: eisen@cc.gatech.edu
Team Member: Utkarsh Ayachit
E-mail: utkarsh.ayachit@kitware.com

Resources

Handouts

The traditional approach for scientific visualization and analysis is to first write data to persistent storage for subsequent, post hoc use. This...
Our project takes aim at a set of research challenges in enabling scientific knowledge discovery within the context of in situ processing at extreme‐...

Posters

The traditional approach for scientific visualization and analysis is to first write data to persistent storage for subsequent, post hoc use. This...
Our project takes aim at a set of research challenges in enabling scientific knowledge discovery within the context of in situ processing at extreme‐...

Presentations

The traditional approach for scientific visualization and analysis is to first write data to persistent storage for subsequent, post hoc use. This...

Quad Charts

This project is tackling a set of R&D research problems to produce in situ software technology and tools that will help DOE computational science...
Our project takes aim at a set of research challenges in enabling scientific knowledge discovery within the context of in situ processing at extreme‐...