High Performance Tensor–Vector Multiplication on Shared-Memory Systems

Lecture Notes in Computer Science- Germany

doi 10.1007/978-3-030-43229-4_4

Full Text

Abstract

Available in

Date

Authors

Publisher

Springer International Publishing

Related search

Parallel Performance Problems on Shared-Memory Multicore Systems: Taxonomy and Observation

IEEE Transactions on Software Engineering
Software
2016English

Achieving High Performance in Bus-Based Shared-Memory Multiprocessors

IEEE Concurrency
2000English

On the Multiplication of Tensor Fields

Proceedings of the American Mathematical Society
MathematicsApplied Mathematics
1966English

High-Performance Modular Multiplication on the Cell Processor

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2010English

Sparse Matrix-Vector Multiplication on GPGPUs

ACM Transactions on Mathematical Software
Applied MathematicsSoftware
2017English

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

Journal of Supercomputing
HardwareInformation SystemsTheoretical Computer ScienceArchitectureSoftware
2011English

Scalable Sparse Tensor Decompositions in Distributed Memory Systems

2015Dutch

Development an Analytical Performance Models for Matrix Multiplication on Distributing Systems

IJCI. International Journal of Computers and Information
2009English

Synchronization and Communication Costs of Loop Partitioning on Shared-Memory Multiprocessor Systems

IEEE Transactions on Parallel and Distributed Systems
HardwareComputational TheorySignal ProcessingArchitectureMathematics
1992English

Amanote Research

Note-taking for researchers

Follow Amanote

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

Privacy PolicyRefund Policy