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Parallel Interior-Point Solver for Block-Structured Nonlinear Programs on SIMD/GPU Architectures

By François Pacaud and others
We investigate how to port the standard interior-point method to new exascale architectures for block-structured nonlinear programs with state equations. Computationally, we decompose the interior-point algorithm into two successive operations: the evaluation of the derivatives and the solution of the associated Karush-Kuhn-Tucker (KKT) linear system. Our method accelerates both operations... Show more
January 12, 2023
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Parallel Interior-Point Solver for Block-Structured Nonlinear Programs on SIMD/GPU Architectures
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