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Scaling the semidefinite program solver SDPB

2019/09/21 by Walter Landry, David Simmons–Duffin, Landry, Walter +1 · 3 citations
Computer Science · #FOS: Physical sciences #High Energy Physics - Theory (hep-th) #Numerical Methods and Algorithms #Parallel Computing and Optimization Techniques #Quantum Computing Algorithms and Architecture

paper · pdf · doi:10.48550/arxiv.1909.09745

openalex publication_date 2019/09/21 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

We present enhancements to SDPB, an open source, parallelized, arbitrary precision semidefinite program solver designed for the conformal bootstrap. The main enhancement is significantly improved performance and scalability using the Elemental library and MPI. The result is a new version of SDPB that runs on multiple nodes with hundreds of cores with excellent scaling, making it practical to solve larger problems. We demonstrate performance on a moderate-size problem in the 3d Ising CFT and a much larger problem in the O(2) Model.

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