High-performance implementation of the level-3 BLAS

2008/07/22 by Kazushige Goto, Robert A. Geijn · 1 citation
Computer Science · #Parallel Computing and Optimization Techniques #Interconnection Networks and Systems #Advanced Data Storage Technologies #Computer science #Parallel computing #Implementation #Matrix multiplication #Computation #Matrix (chemical analysis) #Cache #Computer architecture #Computational science #Algorithm #Programming language

paper · doi:10.1145/1377603.1377607

openalex publication_date 2008/07/22 · openalex created_date 2025/10/10 · openalex updated_date 2026/06/26

Abstract

A simple but highly effective approach for transforming high-performance implementations on cache-based architectures of matrix-matrix multiplication into implementations of other commonly used matrix-matrix computations (the level-3 BLAS) is presented. Exceptional performance is demonstrated on various architectures.

Citations

• A set of level 3 basic linear algebra subprograms
• Anatomy of high-performance matrix multiplication

Cited by

• Basic Linear Algebra Subprograms [wikipedia]

Related

• Anatomy of high-performance matrix multiplication
• High-Performance Level-1 and Level-2 BLAS
• Implementing High-performance Complex Matrix Multiplication via the 3m and 4m Methods
• The Design and Performance of Batched BLAS on Modern High-Performance Computing Systems
• Cache Optimization and Performance Modeling of Batched, Small, and Rectangular Matrix Multiplication on Intel, AMD, and Fujitsu Processors