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Performance tuning of the sparse matrix-vector multiplication on modern CPUs
In this paper, we describe several modifications of the basic algorithm for the sparse matrix-vector multiplication. We investigate performance gains of these modifications on 4 CPU platforms....
IN - Informatika
- 2004 •
- A
Rok uplatnění
A - Audiovizuální tvorba
Adaptive wavelet methods - Matrix-vector multiplication
version which works with an inexact right hand side and approximate matrix-vector multiplications. In our contribution, we shortly review all these parts and wemainly pay attention to approximate matrix-vector...
BA - Obecná matematika
- 2012 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
Multilayer Approach for Joint Direct and Transposed Sparse Matrix Vector Multiplication for Multithreaded CPUs
computing systems is multiplication of a sparse matrix by a dense vector within a shared direct and transposed sparse matrix-vector multiplication, which is widely needed multiplication ...
Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
- 2018 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
A New Format for sparse Matrix-vector Multiplication
Algorithms for the sparse matrix-vector multiplication (shortly spMV) are important building blocks in solvers of sparse systems of linear equations. Due to matrix sparsity, the memory access patterns are irregular...
IN - Informatika
- 2007 •
- D
Rok uplatnění
D - Stať ve sborníku
A New Format for the Sparse Matrix-vector Multiplication
Algorithms for the sparse matrix-vector multiplication (shortly spMV) are important building blocks in solvers of sparse systems of linear equations. Due to matrix sparsity, the memory access patterns are irregular...
IN - Informatika
- 2007 •
- D
Rok uplatnění
D - Stať ve sborníku
Sparse Matrix-Vector Multiplication - Final Solution?
Algorithms for the sparse matrix-vector multiplication (shortly SpMxV) are important building blocks in solvers of sparse systems of linear equations. Due to matrix sparsity, the memory access patterns are irregula...
IN - Informatika
- 2008 •
- D
Rok uplatnění
D - Stať ve sborníku
CARB (new format for sparse matrix-vector multiplication)
Algorithms for the sparse matrix-vector multiplication are important building blocks in solvers of sparse systems of linear equations. Due to matrix sparsity, the memory access patterns are irregular and the utiliz...
IN - Informatika
- 2009 •
- R •
- Link
Rok uplatnění
R - Software
Výsledek na webu
The study of impact of matrix-processor mapping on the parallel sparse matrix-vector multiplication
Sparse matrix-vector multiplication (shortly spMV) is one of the most common subroutines in the numerical linear algebra. The parallelization of this task looks easy and straightforward, but it is not optimal in general cas...
IN - Informatika
- 2014 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
Joint direct and transposed sparse matrix-vector multiplication for multithreaded CPUs
Repeatedly performing sparse matrix-vector multiplication (SpMV) followed by transposed sparse matrix-vector multiplication (SpMᵀV) with the same matrix is a part-vector mult...
Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
- 2021 •
- Jimp •
- Link
Rok uplatnění
Jimp - Článek v periodiku v databázi Web of Science
Výsledek na webu
On Wavelet Matrix Compression for Differential Equations
with an inexact right hand side and approximate matrix-vector multiplication. In ourcontribution, we shortly review all these parts with emphasis on the approximate matrix-vector multiplication. ...
BA - Obecná matematika
- 2011 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
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