Sparse Matrix-Vector Multiplication on GPGPUs

ACM Transactions on Mathematical Software- United States

doi 10.1145/3017994

Full Text

Abstract

Available in

Date

Authors

Publisher

Association for Computing Machinery (ACM)

Related search

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

Perfomance Models for Blocked Sparse Matrix-Vector Multiplication Kernels

2009Danish

Data-Driven Mixed Precision Sparse Matrix Vector Multiplication for GPUs

Transactions on Architecture and Code Optimization
HardwareInformation SystemsArchitectureSoftware
2020Norwegian

Parallel Multicore CSB Format and Its Sparse Matrix Vector Multiplication

Advances in Linear Algebra & Matrix Theory
2014English

Efficient Sparse Matrix Multiple-Vector Multiplication Using a Bitmapped Format

2013English

Fast Sparse Matrix Multiplication

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2004English

Performance Modeling and Optimization of Sparse Matrix-Vector Multiplication on NVIDIA CUDA Platform

Journal of Supercomputing
HardwareInformation SystemsTheoretical Computer ScienceArchitectureSoftware
2011English

Sparse Matrix Multiplication: The Distributed Block-Compressed Sparse Row Library

Parallel Computing
Computer GraphicsComputer NetworksHardwareCommunicationsComputer-Aided DesignArchitectureTheoretical Computer ScienceArtificial IntelligenceSoftware
2014English

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

2018English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy