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Computational Sciences & Mathematics

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  • PNNL computer scientists are developing formal design processes based on the Concurrent Collections (CnC)programming model, which they used to transform LULESH proxy application code into a complete CnC specification. These specifications capture data and control dependencies and separate computations from implementation issues, concealing the complexities of exascale systems. Read more.


  • Dr. Antonino Tumeo and Dr. John Feo, of CSMD's High Performance Computing and Data Intensive Scientific groups, respectively, will serve as guest editors for a special issue of the Journal of Parallel and Distributed Computing devoted to "Architectures and Algorithms for Irregular Applications." Read more.

About the Division


Researchers in PNNL's Computational Sciences & Mathematics Division are focused on the "Science of Computing" and are working to create new computational capabilities to solve problems using extreme scale simulation and data analytics.

The Computational Sciences & Mathematics Division (CSMD) at Pacific Northwest National Laboratory provides science, technologies, and leadership to solve significant problems of national interest in energy, environment, national security, and fundamental science. At CSMD, our research is aimed at creating new, state-of-the-art computational capabilities using extreme-scale simulation and peta-scale data analytics that enable scientific breakthroughs.

We are developing intelligent hardware and software solutions that analyze, store, and share data in ways that enable innovative research, while reducing both cost and time. These research and development activities are giving rise to scientific breakthroughs in high-impact areas, including infrastructures, computing architectures, and advanced analytical techniques.

In addition, CSMD offers investigator-initiated and multi-institutional collaborative research, unique scientific instrumentation, and national program leadership to translate the latest discoveries into technologies for the scientific community.

To address a constantly shifting set of opportunities as new areas of inquiry become technically feasible for the first time, CSMD is cultivating research capabilities in


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