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New HeSpaDDA Algorithm Distributes Parallel Workloads on LANL Supercomputers

Researchers at Los Alamos National Lab have developed new software to distribute computation more efficiently and across increasing numbers of supercomputer processors. This new decomposition approach for molecular dynamics simulation is called the heterogeneous spatial domain decomposition algorithm, or HeSpaDDA. “In a nutshell, the proposed algorithm will make use of a priori knowledge of the system setup. Specifically, the region which is computationally less expensive.”