Neural-network preconditioners for solving the Dirac equation in lattice gauge theory
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This presentation concludes in situ computation enables new approaches to linear algebra problems which can be both more effective and more efficient as compared to conventional digital systems. Preconditioning is well-suited to analog computation due to the tolerance for approximate solutions. When combined with prior work on in situ MVM for scientific computing, analog preconditioning can enable significant speedups for important linear algebra applications.
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Explore the source record for details and available documents.
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Abstract not provided.