Abstract
Computing physical quantities in lattice quantum chromodynamics means solving huge systems of linear equations (O(107) equations). Efficient parallel Krylov subspace solvers play a vital role in the solution of these systems. We present a detailed analysis of the performance of the stabilized biconjugate gradient algorithm with preconditioning on massively parallel CRAY T3E systems.
Talk presented by N. Attig
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Attig, N. et al. (1998). Running a code for lattice quantum chromodynamics efficiently on CRAY T3E systems. In: Sloot, P., Bubak, M., Hertzberger, B. (eds) High-Performance Computing and Networking. HPCN-Europe 1998. Lecture Notes in Computer Science, vol 1401. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0037145
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DOI: https://doi.org/10.1007/BFb0037145
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