Book
Standards for Basic Linear Algebra Subprograms (BLAS) Technical Forum Standard
📖 Overview
The Standards for Basic Linear Algebra Subprograms (BLAS) Technical Forum Standard presents specifications and guidelines for implementing fundamental linear algebra operations in computing systems. This technical reference documents the evolution and standardization of BLAS routines that serve as building blocks for numerical software.
The book outlines detailed interfaces for Level 1, 2, and 3 BLAS operations, covering vector-vector, matrix-vector, and matrix-matrix computations. It establishes naming conventions, parameter orderings, and error handling procedures that enable consistent implementation across different hardware platforms and programming languages.
The text includes discussions of implementation issues, optimization strategies, and extensions to handle complex arithmetic and sparse matrix operations. Testing methodologies and reference implementations are provided to verify correct functionality.
At its core, this work represents a critical foundation for scientific computing, demonstrating how standardization efforts can unite academic research with practical software engineering. The specifications continue to influence modern high-performance computing architecture and numerical libraries.
👀 Reviews
This appears to be a technical standard document rather than a traditional book, and there aren't any public reader reviews or ratings available on Goodreads, Amazon, or other consumer review sites.
The BLAS Technical Forum Standard document is primarily used by computer scientists and software developers as a reference specification. As a technical standard rather than a published book, it's not typically reviewed by general readers.
The document describes interface standards for Basic Linear Algebra Subprograms used in scientific computing, but attempting to summarize reader opinions would be speculative without actual review data to reference.
For accurate information about this technical standard's reception and impact, consulting academic citations or technical discussions in the scientific computing community would be more appropriate than looking for consumer book reviews.
📚 Similar books
Numerical Linear Algebra by Lloyd N. Trefethen, David Bau III
This text presents computational methods for solving linear algebra problems with a focus on stability and accuracy in numerical algorithms.
Matrix Computations by Gene H. Golub, Charles F. Van Loan The book covers fundamental algorithms for matrix operations and their implementation in high-performance computing environments.
Templates for the Solution of Linear Systems: Building Blocks for Iterative Methods by Richard Barrett, Michael Berry, Tony F. Chan, James Demmel, June M. Donato, Jack Dongarra, Victor Eijkhout, Roldan Pozo, Charles Romine, and Henk van der Vorst This reference provides practical implementations of iterative methods for solving large-scale linear systems.
Handbook of Linear Algebra by Leslie Hogben The text contains comprehensive coverage of linear algebra topics with connections to numerical implementations and computational methods.
Applied Numerical Linear Algebra by James W. Demmel The book presents algorithms for solving linear algebra problems with emphasis on practical implementation and computational efficiency.
Matrix Computations by Gene H. Golub, Charles F. Van Loan The book covers fundamental algorithms for matrix operations and their implementation in high-performance computing environments.
Templates for the Solution of Linear Systems: Building Blocks for Iterative Methods by Richard Barrett, Michael Berry, Tony F. Chan, James Demmel, June M. Donato, Jack Dongarra, Victor Eijkhout, Roldan Pozo, Charles Romine, and Henk van der Vorst This reference provides practical implementations of iterative methods for solving large-scale linear systems.
Handbook of Linear Algebra by Leslie Hogben The text contains comprehensive coverage of linear algebra topics with connections to numerical implementations and computational methods.
Applied Numerical Linear Algebra by James W. Demmel The book presents algorithms for solving linear algebra problems with emphasis on practical implementation and computational efficiency.
🤔 Interesting facts
🔢 BLAS (Basic Linear Algebra Subprograms) is considered the foundation of high-performance scientific computing, serving as the building block for nearly all scientific computing software libraries.
🖥️ The BLAS standard was first developed in the 1970s using FORTRAN, and its efficiency was so remarkable that modern languages like Python and MATLAB still use BLAS routines under the hood.
👨🔬 James W. Demmel, the author, is a professor at UC Berkeley who won the IEEE Computer Society Sidney Fernbach Award for his pioneering work in numerical linear algebra algorithms and software.
📊 The standardization of BLAS has enabled hardware manufacturers to optimize these routines specifically for their processors, leading to dramatic performance improvements in scientific applications.
🤝 The BLAS Technical Forum was a collaborative effort involving over 100 experts from academia, government laboratories, and industry, making it one of the most comprehensive standardization efforts in scientific computing.