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Superscalar GEMM-based level 3 BLAS—The on-going evolution of a portable and high-performance library
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/bf01206242openalex-snapshot
A set of high-performance Level 3 BLAS structured and tuned for the IBM 3090 VF and implemented in Fortran 77
inferredcites →https://doi.org/10.1007/bfb0095337openalex-snapshot
Recursive blocked data formats and BLAS’s for dense linear algebra algorithms
inferredcites →https://doi.org/10.1109/sc.1998.10004openalex-snapshot
Automatically Tuned Linear Algebra Software
inferredcites →https://doi.org/10.1145/178365.174413openalex-snapshot
A parallel block implementation of Level-3 BLAS for MIMD vector processors
inferredcites →https://doi.org/10.1145/2591635.2667174openalex-snapshot
Optimizing matrix multiply using PHiPAC
inferredcites →https://doi.org/10.1145/263580.263662openalex-snapshot
Optimizing matrix multiply using PHiPAC
inferredcites →https://doi.org/10.1145/292395.292426openalex-snapshot
Algorithm 784: GEMM-based level 3 BLAS
inferredcites →https://doi.org/10.1145/77626.79170openalex-snapshot
A set of level 3 basic linear algebra subprograms
inferredcites →https://doi.org/10.1147/rd.383.0265openalex-snapshot
Improving performance of linear algebra algorithms for dense matrices, using algorithmic prefetch
inferredcites →https://doi.org/10.1147/rd.385.0563openalex-snapshot
Exploiting functional parallelism of POWER2 to design high-performance numerical algorithms
inferredcites →https://doi.org/10.5555/509058.509096openalex-snapshot
Automatically Tuned Linear Algebra Software
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/cpe.630openalex-snapshot
A framework for high‐performance matrix multiplication based on hierarchical abstractions, algorithms and optimized low‐level kernels
inferred← citeshttps://doi.org/10.1002/spe.626openalex-snapshot
Minimizing development and maintenance costs in supporting persistently optimized BLAS
inferred← citeshttps://doi.org/10.1007/3-540-48051-x_29openalex-snapshot
A Recursive Formulation of the Inversion of Symmetric Positive Definite Matrices in Packed Storage Data Format
inferred← citeshttps://doi.org/10.1007/3-540-70734-4_10openalex-snapshot
Parallel Triangular Sylvester-Type Matrix Equation Solvers for SMP Systems Using Recursive Blocking
inferred← citeshttps://doi.org/10.1007/3-540-70734-4_12openalex-snapshot
High Performance Cholesky Factorization via Blocking and Recursion That Uses Minimal Storage
inferred← citeshttps://doi.org/10.1007/3-540-70734-4_7openalex-snapshot
LAWRA Linear Algebra with Recursive Algorithms
inferred← citeshttps://doi.org/10.1007/3-540-70734-4_9openalex-snapshot
High-Performance Library Software for QR Factorization
inferred← citeshttps://doi.org/10.1007/978-1-4419-6935-4_2openalex-snapshot
ATLAS Version 3.9: Overview and Status
inferred← citeshttps://doi.org/10.1007/978-3-540-75755-9_109openalex-snapshot
Is Cache-Oblivious DGEMM Viable?
inferred← citeshttps://doi.org/10.1007/978-3-642-04284-3_9openalex-snapshot
Modeling Cache Effects at the Transaction Level
inferred← citeshttps://doi.org/10.1007/bfb0095337openalex-snapshot
Recursive blocked data formats and BLAS’s for dense linear algebra algorithms
inferred← citeshttps://doi.org/10.1007/bfb0095384openalex-snapshot
Recursive formulation of Cholesky algorithm in Fortran 90
inferred← citeshttps://doi.org/10.1016/s0167-8191(00)00087-9openalex-snapshot
Automated empirical optimizations of software and the ATLAS project
inferred← citeshttps://doi.org/10.1109/jproc.2004.840848openalex-snapshot
Self-Adapting Linear Algebra Algorithms and Software
inferred← citeshttps://doi.org/10.1137/s0036144503428693openalex-snapshot
Recursive Blocked Algorithms and Hybrid Data Structures for Dense Matrix Library Software
inferred← citeshttps://doi.org/10.1145/1377612.1377615openalex-snapshot
Updating an LU Factorization with Pivoting
inferred← citeshttps://doi.org/10.1145/383738.383741openalex-snapshot
A recursive formulation of Cholesky factorization of a matrix in packed storage
inferred← citeshttps://doi.org/10.1145/592843.592845openalex-snapshot
Recursive blocked algorithms for solving triangular systems—Part I
inferred← citeshttps://doi.org/10.2197/ipsjdc.4.151openalex-snapshot
Level-3 BLAS and LU Factorization on a Matrix Processor
inferred← citeshttps://doi.org/10.31390/gradschool_dissertations.4486openalex-snapshot
Maintaining High Performance Across All Problem Sizes and Parallel Scales Using Microkernel-based Linear Algebra
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