Sandia Wins Funding for Programming In Situ Data Analysis/Visualization

Sandia Wins Funding for Programming In Situ Data Analysis/Visualization

Sandia was recently awarded DOE Advanced Scientific Computing Research (ASCR) funding to develop a framework for in situ data management, analysis, and visualization. Sandia’s approach provides a mechanism for specifying the structure and use of data, decouples code specification from optimization, and facilitates the expression of complex scientific workflows—thereby enabling scientists to develop high-performance, portable codes at extreme-scale.

Working closely with application and industry advisors, our technologies will directly benefit DOE Biological and Environmental Research (BER)+ASCR productivity efforts, NNSA’s Advanced Simulation & Computing (ASC), and DOE FastForward and DesignForward activities.

The underlying research ideas to be explored with this funding are

  • that a unified, data-driven programming model for applications and in situ analysis and visualization will enable both productivity and performance,
  • the ability to express the structure and use of data should be a first-class component of extreme-scale programming models, and
  • that policy decisions regarding the mapping of software onto evolving extreme-scale architectures should not affect the correctness of the code.

In situ data analysis-visualization teamThe team envisions that this project’s result will

  • enable productivity and performance,
  • provide a foundation for building efficient and effective control flow mechanisms for complex in situ workflows, and
  • establish enabling capabilities for interactive in situ environments.

This is a multiple-institution effort.

  • Sandia Combustion Advisor: Jackie Chen (in Sandia’s Reacting Flow Research Dept.)
  • Los Alamos Climate Advisor: Phil Jones
  • Argonne Cosmology Advisor: Katrin Heitmann
  • NVIDIA Advisor: Steve Keckler
  • AMD Advisor: Mike Schulte