Author

Daniel Cederberg

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Preprint Sep 2026

GPU-Accelerated Presolving for Linear Programming

Simple design principles that avoid severe load imbalance and expose parallelism in reductions that appear inherently sequential are described and implemented in cuPSLP, a GPU-accelerated version of PSLP, a CPU-based presolver that is itself several times faster than a state-of-the-art commercial presolver.

Daniel Cederberg, Stephen P. Boyd · 1 citation