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mathematical sciences, Computational Sciences & Mathematics

PNNL’s Computing Research portfolio—spanning from basic to applied—includes data and computational engineering, high-performance computing, applied mathematics, semantic and human language technologies, machine learning, data and computing architectures, systems integration, and software and application development. At PNNL, scientists, engineers, programmers, and researchers work together to apply advanced theories, methods, algorithms, models, evaluation tools and testbeds, and computational-based solutions to address complex scientific challenges affecting energy, biological sciences, the environment, and national security.

Jiajia Li

PNNL Computer Scientist Jiajia Li Receives the “Best Student Paper” Award

Jiajia Li developed a way to speed computing and minimize storage requirements in a real-world multicore-parallel CPU platform. Li's work was recognized at Supercomputing 2018, the largest annual international conference for high-performance computing.



Kenneth Roche

2019 INCITE award fosters search for new elements, quantum interactions

Kenneth Roche is part of a team awarded a 2019 INCITE award. Roche, a member of PNNL’s High-Performance Computing Group and a lead in the DOE Exascale Computing Project, will work on a team of eight scientists led by Aurel Bulgac of the University of Washington.



CNet

Automating Expertise

A lack of labeled data is a bottleneck for deep learning that impacts many domains. To remedy this, PNNL scientists developed ChemNet, which learns expert knowledge from large unlabeled databases and outperforms current deep learning methods. ChemNet also has potential applications in other research areas with similar data challenges. This month, the team will showcase ChemNet during the 24th ACM SIGKDD Conference on Knowledge Discovery and Data Mining in London.



TOPC

Examining the Irregular

PNNL scientists Antonino Tumeo (High Performance Computing), Mahantesh Halappanavar (Data Sciences), and John Feo (Northwest Institute for Advanced Computing) with Intel’s Fabrizio Petrini, are teaming up to guest edit the first-ever thematic special issue of ACM Transactions on Parallel Computing, which will focus on topics concerning irregular applications. A Call for Papers for the special issue has been released with submissions due by Oct. 31, 2018.



SX

Xantheas Named to the Washington State Academy of Sciences

Congratulations to Sotiris Xantheas, a PNNL Laboratory Fellow and UW-PNNL Distinguished Faculty Fellow, who is a newly elected member of the Washington State Academy of Sciences. As an academy member, he will join 286 scientists and engineers from across the state, including 22 from PNNL, who share their expertise to address issues impacting the state and its residents.



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