Impact of Mixed-Parallelism on Parallel Implementations of the Strassen and Winograd Matrix Multiplication Algorithms

Concurrency Computation Practice and Experience - United Kingdom
doi 10.1002/cpe.791
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Wiley

Related search

Using Static Allocation Algorithms for Matrix Matrix Multiplication on Multicores and GPUs

2018English

Group-Theoretic Algorithms for Matrix Multiplication

English

Parallel Matrix Multiplication on Memristor-Based Computation-In-Memory Architecture

2016English

Programming Matrix Algorithms-By-Blocks for Thread-Level Parallelism

ACM Transactions on Mathematical Software
Applied MathematicsSoftware
2009English

Parallel Implementations of Parametric Identification Algorithms for Three-Dimensional Crystal Lattices

2016English

Locality-Aware Parallel Sparse Matrix-Vector and Matrix-Transpose-Vector Multiplication on Many-Core Processors

IEEE Transactions on Parallel and Distributed Systems
HardwareComputational TheorySignal ProcessingArchitectureMathematics
2016English

An Efficient Parallel Algorithm for Matrix-Vector Multiplication

1993English

On Sunflowers and Matrix Multiplication

Computational Complexity
MathematicsComputational MathematicsTheoretical Computer ScienceComputational Theory
2013English

Parallel Multicore CSB Format and Its Sparse Matrix Vector Multiplication

Advances in Linear Algebra & Matrix Theory
2014English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy