Researchneuromorphicpdeshigh performance computingenergy efficiency
Sandia Demonstrates Neuromorphic Solver For PDEs
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Researchers at Sandia National Laboratories have demonstrated a novel algorithm that runs on neuromorphic hardware to solve partial differential equations (PDEs), reported in Nature Machine Intelligence. The algorithm preserves cortical network dynamics, enabling energy-efficient large-scale simulations for fluid dynamics, structural mechanics, nuclear-weapon physics and potentially informing computational models of brain disease.
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