Add to ORKGAbstract. Mr. Goto wrote a code to improve GEMM greatly as once the fastest program in the world. In this work, we study this approach step by step, beginning with a naïve matrix-matrix multiplication to an eventual optimization of nearly 10 times faster improvement of performance. This work aims to go through all the process to check the improvement by each step, and try to give some reasonable comments of details. 1
For the past decade, power/energy consumption has become a limiting factor for large-scale and embed...
Matrix multiplication is an operation that produces a matrix from two matrices and its applications...
We present an interface and an implementation of the General Matrix Multiply (GEMM) routine for mult...
A current trend in high-performance computing is to decompose a large linear algebra problem into ba...
General matrix-matrix multiplications (GEMM) in vendor-supplied BLAS libraries are best optimized fo...
AbstractThis paper presents results of our study on double-precision general matrix-matrix multiplic...
The generic matrix multiply (GEMM) function is the core element of high-performance linear algebra l...
BLIS is a new framework for rapid instantiation of the BLAS. We describe how BLIS extends the “GotoB...
Abstract—Scientific programmers often turn to vendor-tuned Basic Linear Algebra Subprograms (BLAS) t...
General matrix-matrix multiplications with double-precision real and complex entries (DGEMM and ZGEM...
Algorithm optimisation can be accomplished by an exhaustive search over alternative algorithms for p...
Abstract. Recent advances in computing allow taking new look at ma-trix multiplication, where the ke...
For the past decade, power/energy consumption has become a limiting factor for large-scale and embed...
Achieving high-performance while reducing power consumption is the key question as tech-nology scali...
The level 3 Basic Linear Algebra Subprograms (BLAS) are designed to perform various matrix multiply ...
For the past decade, power/energy consumption has become a limiting factor for large-scale and embed...
Matrix multiplication is an operation that produces a matrix from two matrices and its applications...
We present an interface and an implementation of the General Matrix Multiply (GEMM) routine for mult...
A current trend in high-performance computing is to decompose a large linear algebra problem into ba...
General matrix-matrix multiplications (GEMM) in vendor-supplied BLAS libraries are best optimized fo...
AbstractThis paper presents results of our study on double-precision general matrix-matrix multiplic...
The generic matrix multiply (GEMM) function is the core element of high-performance linear algebra l...
BLIS is a new framework for rapid instantiation of the BLAS. We describe how BLIS extends the “GotoB...
Abstract—Scientific programmers often turn to vendor-tuned Basic Linear Algebra Subprograms (BLAS) t...
General matrix-matrix multiplications with double-precision real and complex entries (DGEMM and ZGEM...
Algorithm optimisation can be accomplished by an exhaustive search over alternative algorithms for p...
Abstract. Recent advances in computing allow taking new look at ma-trix multiplication, where the ke...
For the past decade, power/energy consumption has become a limiting factor for large-scale and embed...
Achieving high-performance while reducing power consumption is the key question as tech-nology scali...
The level 3 Basic Linear Algebra Subprograms (BLAS) are designed to perform various matrix multiply ...
For the past decade, power/energy consumption has become a limiting factor for large-scale and embed...
Matrix multiplication is an operation that produces a matrix from two matrices and its applications...
We present an interface and an implementation of the General Matrix Multiply (GEMM) routine for mult...