Author Info
Name
Affiliation
Papers
FIELD G. VAN ZEE
The University of Texas at Austin, Austin, TX, USA
20
Collaborators
Citations 
PageRank 
29
312
23.19
Referers 
Referees 
References 
489
297
315
Search Limit
100489
Title
Citations
PageRank
Year
Supporting Mixed-domain Mixed-precision Matrix Multiplication within the BLIS Framework00.342021
Supporting mixed-datatype matrix multiplication within the BLIS framework.00.342019
Implementing High-performance Complex Matrix Multiplication via the 3m and 4m Methods.20.392017
The BLIS Framework: Experiments in Portability.251.042016
Restructuring the Tridiagonal and Bidiagonal QR Algorithms for Performance30.472014
Anatomy of High-Performance Many-Threaded Matrix Multiplication391.302014
Deriving dense linear algebra libraries.40.422013
The FLAME approach: From dense linear algebra algorithms to high-performance multi-accelerator implementations170.912012
Families of Algorithms for Reducing a Matrix to Condensed Form40.442012
High-performance up-and-downdating via householder-like transformations10.372011
Transforming linear algebra libraries: From abstraction to parallelism.00.342010
Programming matrix algorithms-by-blocks for thread-level parallelism813.462009
The libflame Library for Dense Matrix Computations332.512009
Scheduling of QR Factorization Algorithms on SMP and Multi-Core Architectures221.512008
Scalable parallelization of FLAME code via the workqueuing model101.972008
SuperMatrix: a multithreaded runtime scheduling system for algorithms-by-blocks401.972008
Toward scalable matrix multiply on multithreaded architectures101.992007
Satisfying your dependencies with SuperMatrix111.372007
Accumulating Householder transformations, revisited80.652006
Extracting SMP parallelism for dense linear algebra algorithms from high-level specifications21.402005