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ExaGraph: Combinatorial Methods for Enabling Exascale Applications

As a co-design center,ExaGraph will focus on developing combinatorial graph algorithms for several exascale application domains, including power grid, computational chemistry and biology, and Earth systems. The goal is to augment how high-volume data analytics are performed for applications and scientific computing. PNNL leads the project with contributors from Purdue University and Berkeley and Sandia national laboratories.

Exascale Computing Project

High Performance Computing at PNNL