The paper presents performant parallel CPU implementations of tridiagonal factorization for skew-symmetric matrices that exceed prior work via FLAME-derived algorithms and BLIS optimizations.
van de Geijn and Enrique S
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Proposes FAMLIES as a new flexible framework that vertically integrates linear and multi-linear algebra software stacks for high-performance computing on diverse architectures.
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Performant Tridiagonal Factorization of Skew-Symmetric Matrices
The paper presents performant parallel CPU implementations of tridiagonal factorization for skew-symmetric matrices that exceed prior work via FLAME-derived algorithms and BLIS optimizations.
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A Proposed Framework for Advanced (Multi)Linear Infrastructure in Engineering and Science (FAMLIES)
Proposes FAMLIES as a new flexible framework that vertically integrates linear and multi-linear algebra software stacks for high-performance computing on diverse architectures.