GPU port of entropy-stable DG Euler solver with non-conservative buoyancy terms reaches nearly 70% of 64-bit peak on A100 volume kernels, delivers 10x speedup and 13x better energy efficiency versus CPU, and preserves symmetry-based flux savings.
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Modified recurrence for Laguerre polynomials reduces round-off errors, enabling stable spectral solutions with over 1000 bases and near machine precision for elliptic equations on the half-line.
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GPU Performance of an Entropy-Stable Discontinuous Galerkin Euler Solver with Non-Conservative Terms
GPU port of entropy-stable DG Euler solver with non-conservative buoyancy terms reaches nearly 70% of 64-bit peak on A100 volume kernels, delivers 10x speedup and 13x better energy efficiency versus CPU, and preserves symmetry-based flux savings.
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Improved Laguerre Spectral Methods with Less Round-off Errors and Better Stability
Modified recurrence for Laguerre polynomials reduces round-off errors, enabling stable spectral solutions with over 1000 bases and near machine precision for elliptic equations on the half-line.