Extracting SMP parallelism for dense linear algebra algorithms from high-level specifications. - Tze Meng Low; Robert A. van de Geijn; Field G. Van Zee (PPoPP, 2005)

Accumulating Householder transformations, revisited. - Thierry Joffrain; Tze Meng Low; Enrique S. Quintana-Ortí; Robert A. van de Geijn; Field G. Van Zee (ACM Trans. Math. Softw., 2006)

Satisfying your dependencies with SuperMatrix. - Ernie Chan; Field G. Van Zee; Enrique S. Quintana-Ortí; Gregorio Quintana-Ortí; Robert A. van de Geijn (CLUSTER, 2007)

Toward Scalable Matrix Multiply on Multithreaded Architectures. - Bryan Marker; Field G. Van Zee; Kazushige Goto; Gregorio Quintana-Ortí; Robert A. van de Geijn (Euro-Par, 2007)

Design of scalable dense linear algebra libraries for multithreaded architectures: the LU factorization. - Gregorio Quintana-Ortí; Enrique S. Quintana-Ortí; Ernie Chan; Robert A. van de Geijn; Field G. Van Zee (IPDPS, 2008)

Scheduling of QR Factorization Algorithms on SMP and Multi-Core Architectures. - Gregorio Quintana-Ortí; Enrique S. Quintana-Ortí; Ernie Chan; Robert A. van de Geijn; Field G. Van Zee (PDP, 2008)

SuperMatrix: a multithreaded runtime scheduling system for algorithms-by-blocks. - Ernie Chan; Field G. Van Zee; Paolo Bientinesi; Enrique S. Quintana-Ortí; Gregorio Quintana-Ortí; Robert A. van de Geijn (PPoPP, 2008)

Scalable parallelization of FLAME code via the workqueuing model. - Field G. Van Zee; Paolo Bientinesi; Tze Meng Low; Robert A. van de Geijn (ACM Trans. Math. Softw., 2008)

The libflame Library for Dense Matrix Computations. - Field G. Van Zee; Ernie Chan; Robert A. van de Geijn; Enrique S. Quintana-Ortí; Gregorio Quintana-Ortí (Comput. Sci. Eng., 2009)

Programming matrix algorithms-by-blocks for thread-level parallelism. - Gregorio Quintana-Ortí; Enrique S. Quintana-Ortí; Robert A. van de Geijn; Field G. Van Zee; Ernie Chan (ACM Trans. Math. Softw., 2009)

Transforming linear algebra libraries: From abstraction to parallelism. - Ernie Chan; Robert A. van de Geijn; Field G. Van Zee; Jim Nagle (IPDPS Workshops, 2010)

High-performance up-and-downdating via householder-like transformations. - Robert A. van de Geijn; Field G. Van Zee (ACM Trans. Math. Softw., 2011)

libflame. - Field G. Van Zee; Ernie Chan; Robert A. van de Geijn (Encyclopedia of Parallel Computing, 2011)

The FLAME approach: From dense linear algebra algorithms to high-performance multi-accelerator implementations. - Francisco D. Igual; Ernie Chan; Enrique S. Quintana-Ortí; Gregorio Quintana-Ortí; Robert A. van de Geijn; Field G. Van Zee (J. Parallel Distributed Comput., 2012)

Families of Algorithms for Reducing a Matrix to Condensed Form. - Field G. Van Zee; Robert A. van de Geijn; Gregorio Quintana-Ortí; G. Joseph Elizondo (ACM Trans. Math. Softw., 2012)

Deriving dense linear algebra libraries. - Paolo Bientinesi; John A. Gunnels; Margaret E. Myers; Enrique S. Quintana-Ortí; Tyler Rhodes; Robert A. van de Geijn; Field G. Van Zee (Formal Aspects Comput., 2013)

Anatomy of High-Performance Many-Threaded Matrix Multiplication. - Tyler M. Smith; Robert A. van de Geijn; Mikhail Smelyanskiy; Jeff R. Hammond; Field G. Van Zee (IPDPS, 2014)

Restructuring the Tridiagonal and Bidiagonal QR Algorithms for Performance. - Field G. Van Zee; Robert A. van de Geijn; Gregorio Quintana-Ortí (ACM Trans. Math. Softw., 2014)

BLIS: A Framework for Rapidly Instantiating BLAS Functionality. - Field G. Van Zee; Robert A. van de Geijn (ACM Trans. Math. Softw., 2015)

The BLIS Framework: Experiments in Portability. - Field G. Van Zee; Tyler M. Smith; Bryan Marker; Tze Meng Low; Robert A. van de Geijn; Francisco D. Igual; Mikhail Smelyanskiy; Xianyi Zhang; Michael Kistler; Vernon Austel; John A. Gunnels; Lee Killough (ACM Trans. Math. Softw., 2016)

Implementing High-performance Complex Matrix Multiplication via the 3m and 4m Methods. - Field G. Van Zee; Tyler M. Smith (ACM Trans. Math. Softw., 2017)

Supporting mixed-datatype matrix multiplication within the BLIS framework. - Field G. Van Zee; Devangi N. Parikh; Robert A. van de Geijn (CoRR, 2019)

Implementing High-Performance Complex Matrix Multiplication via the 1M Method. - Field G. Van Zee (SIAM J. Sci. Comput., 2020)

Supporting Mixed-domain Mixed-precision Matrix Multiplication within the BLIS Framework. - Field G. Van Zee; Devangi N. Parikh; Robert A. van de Geijn (ACM Trans. Math. Softw., 2021)

Towards a Unified Implementation of GEMM in BLIS. - RuQing G. Xu; Field G. Van Zee; Robert A. van de Geijn (ICS, 2023)

GEMMFIP: Unifying GEMM in BLIS. - Ruqing G. Xu; Field G. Van Zee; Robert A. van de Geijn (CoRR, 2023)