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

doi 10.1145/3225058.3225066
Full Text
Abstract

Available in full text

Date
Authors
Publisher

ACM Press

Related search

Strassen's Matrix Multiplication on GPUs

2011English

Register-Based Implementation of the Sparse General Matrix-Matrix Multiplication on GPUs

2018English

Group-Theoretic Algorithms for Matrix Multiplication

English

Data-Driven Mixed Precision Sparse Matrix Vector Multiplication for GPUs

Transactions on Architecture and Code Optimization
HardwareInformation SystemsArchitectureSoftware
2020English

On Sunflowers and Matrix Multiplication

Computational Complexity
MathematicsComputational MathematicsTheoretical Computer ScienceComputational Theory
2013English

Sparse Matrix-Vector Multiplication on GPGPUs

ACM Transactions on Mathematical Software
Applied MathematicsSoftware
2017English

Enhanced Matrix Chain Multiplication

Journal of Cyber Security and Mobility
HardwareComputer NetworksArchitectureCommunications
2018English

Fast Sparse Matrix Multiplication

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2004English

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

Concurrency Computation Practice and Experience
Computer NetworksCommunicationsComputer Science ApplicationsComputational TheoryMathematicsTheoretical Computer ScienceSoftware
2004English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy