Add to ORKGIn many applications, an m × n matrix A is stored on disk and is too large to be read into RAM..
Matrix multiplication is an operation that produces a matrix from two matrices and its applications...
This report has been developed over the work done in the deliverable [Nava94] There it was shown tha...
Matrix multiplication is significant in a lot of scientific fields, such as mathematics, physics and...
A FORTRAN 77 implementation of a Gauss algorithm with partial pivoting for banded matrices is descri...
Abstract: Few realize that, for large matrices, many dense matrix computations achieve nearly the sa...
Matrix multiplication (hereafter we use the acronym MM) is among the most fundamental operations of ...
This paper is concerned with the consequences for matrix computations of having a rather large numbe...
Thesis (M.S.)--Wichita State University, College of Engineering, Dept. of Electrical Engineering and...
As computation processing capabilities have outstripped memory transport speeds, memory management c...
We consider the conjectured O(N2+) time complexity of multiplying any two N × N ma-trices A and B. O...
Eklundh's (1972) algorithm to transpose a large matrix stored on an external device such as a disc h...
Abstract: We present an overview of vectorization techniques for matrix algebra on the G4 Velocity E...
We tried to calculate matirx multiply and inverse using pthread on linux. CPU has 2 proccecors. Then...
Many of today’s applications deal with big quantities of data; from DNA analysis algorithms, to imag...
Matrix multiplication (MM) is a computationally-intensive operation in many algorithms used in scien...
Matrix multiplication is an operation that produces a matrix from two matrices and its applications...
This report has been developed over the work done in the deliverable [Nava94] There it was shown tha...
Matrix multiplication is significant in a lot of scientific fields, such as mathematics, physics and...
A FORTRAN 77 implementation of a Gauss algorithm with partial pivoting for banded matrices is descri...
Abstract: Few realize that, for large matrices, many dense matrix computations achieve nearly the sa...
Matrix multiplication (hereafter we use the acronym MM) is among the most fundamental operations of ...
This paper is concerned with the consequences for matrix computations of having a rather large numbe...
Thesis (M.S.)--Wichita State University, College of Engineering, Dept. of Electrical Engineering and...
As computation processing capabilities have outstripped memory transport speeds, memory management c...
We consider the conjectured O(N2+) time complexity of multiplying any two N × N ma-trices A and B. O...
Eklundh's (1972) algorithm to transpose a large matrix stored on an external device such as a disc h...
Abstract: We present an overview of vectorization techniques for matrix algebra on the G4 Velocity E...
We tried to calculate matirx multiply and inverse using pthread on linux. CPU has 2 proccecors. Then...
Many of today’s applications deal with big quantities of data; from DNA analysis algorithms, to imag...
Matrix multiplication (MM) is a computationally-intensive operation in many algorithms used in scien...
Matrix multiplication is an operation that produces a matrix from two matrices and its applications...
This report has been developed over the work done in the deliverable [Nava94] There it was shown tha...
Matrix multiplication is significant in a lot of scientific fields, such as mathematics, physics and...