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mathematical sciences, Computational Sciences & Mathematics
We focus on merging high performance computing with data-centric analysis capabilities to solve significant problems in energy, the environment, and national security. PNNL has made scientific breakthroughs and advanced frontiers in high performance computer science, computational biology and bioinformatics, subsurface simulation modeling, and multiscale mathematics.

Alessandro Morari

PNNL Researchers Awarded Best Paper at International Conference

Congratulations to Alessandro Morari and Roberto Gioiosa, computational research scientists at Pacific Northwest National Laboratory, on winning the best paper award at the International Parallel & Distributed Process Symposium (IPDPS) in China. Their paper "Evaluating the impact of TLB misses on future HPC systems" was named best paper in the software category.


Guang Lin

Guang Lin Honored with Early Career Achievement Award

Congratulations to Guang Lin, a computational mathematics researcher at Pacific Northwest National Laboratory, on being selected to receive the Laboratory Director's 2012 Ronald L. Brodzinski Award for Early Career Exceptional Achievement. He was recognized for his leading research in uncertainty quantification and petascale data analytics applied to climate models.


Katrina Hui

Katrina Hui Named Semi-Finalist in Intel Science Talent Search

Congratulations to Katrina Hui, a high school science intern in Pacific Northwest National Laboratory's Computational Sciences & Mathematics Division, on being named a semi-finalist in the Intel Science Talent Search. Andrey Sushko, another PNNL high school intern, received second place honors.


Clouds Uncertainty

Taming Uncertainty in Climate Prediction

Uncertainty just became more certain. Atmospheric and computational researchers at Pacific Northwest National Laboratory used a new scientific approach called "uncertainty quantification," or UQ, that allowed them to better simulate precipitation. Their study is the first to apply a stochastic sampling method to select model inputs for precipitation representations and improve atmospheric simulations within a regional weather research and forecasting model.


Kerstin Kleese van Dam

PNNL Researchers Invited to Join International Group

Kerstin Kleese van Dam and Karen Schuchardt, staff members at the Department of Energy's Pacific Northwest National Laboratory, have been invited to participate in the international Exascale I/O Interface working group. The working group comprising both researchers and industry representatives from leading vendors such as Cray, will seek solutions that integrate actions throughout the system stack from application to hardware and reach from the HPC system to the file system.

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