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mathematical sciences, Computational Sciences & Mathematics

With multidisciplinary expertise spanning technical pillars of high-performance computing, data science, and computational mathematics, we work toward building computational capabilities that position PNNL as a computing powerhouse. We also focus on enhancing the Science of Computing to achieve high-performance, power-efficient, and reliable computing at extreme scales for a spectrum of scientific endeavors that address significant problems of national interest, especially among PNNL’s core pursuits—energy, the environment, national security, and fundamental science.

Addressing Irregular Applications

Once again, Dr. John Feo and Dr. Antonino Tumeo, of PNNL’s Advanced Computing, Mathematics, and Data Division, were chosen to serve as guest editors. This time, they will team up for a special edition of Parallel Computing devoted to “Theory and Practice of Irregular Applications (TaPIA).” Parallel Computing is an international journal that centers on the practical use of parallel computer systems, including high-performance architecture, system software, programming systems and tools, and applications. Currently, a Call for Papers has been issued and submissions will be accepted through Monday, March 30, 2015. The TaPIA issue, focused on uncovering solutions for supporting efficient design, development, and execution of irregular applications, is expected to be published in November 2015.

A High-Tech Team

John Feo and Antonino Tumeo, from PNNL’s Advanced Computing, Mathematics, and Data Division, are serving as guest editors for a special issue of Computer, the IEEE Computer Society’s flagship magazine, devoted to “Irregular Applications.” The issue will center on exploring solutions for supporting the efficient design, development, and execution of irregular applications and is slated for publication in August 2015. A Call for Papers has been issued that is accessible via the Computing Now website. The submission deadline for papers is Sunday, February 01, 2015.

2014 Key Accomplishments

2014 Key Scientific Accomplishments Report Now Available

The 2014 Key Scientific Accomplishments report in fundamental and computational sciences is now available as a downloadable PDF. This 32-page full-color brochure highlights some of the year's most noteworthy science achievements by Pacific Northwest National Laboratory scientists.

A Shiny, New Graph Query System

As computing tools and expertise used in conducting scientific research continue to expand, so have the enormity and diversity of the data being collected. Scientists from PNNL and NVIDIA Research examined how GEMS, a multilayer software system for semantic graph databases developed at PNNL, could answer queries on science metadata then compared its scaling performance against generated benchmark data sets. They showed that GEMS could answer queries over curated science metadata in seconds and scaled well to larger quantities of data. They also demonstrated that GEMS generally outperformed a custom-hardware solution, indicating the viability of using cheaper, commodity hardware to obtain comparable performance. 

Stretched to the Limit

Xiaohua Hu, a scientist from ACMD Division’s Applied Computational Mathematics and Engineering group, will be a featured speaker at the annual Materials Science & Technology meeting, or MS&T'14. As part of a materials symposium, he will present, “An Integrated Finite Element Framework of Studying Edge Cracking during Stretching of Previous Trimmed Sheets,” describing an integrated manufacturing process simulation framework developed to predict trimmed edge tensile stretchability of aluminum alloy sheets primarily used for automotive paneling. The work is the result of a longtime ongoing collaboration between Ford Motor Company and PNNL and is funded by DOE’s Office of Energy Efficiency & Renewable Energy Vehicle Technologies program.

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