4.7 Article

VCSR: An Efficient GPU Memory-Aware Sparse Format

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Computer Science, Hardware & Architecture

BestSF A Sparse Meta-Format for Optimizing SpMV on GPU

Akrem Benatia et al.

ACM TRANSACTIONS ON ARCHITECTURE AND CODE OPTIMIZATION (2018)

Proceedings Paper Computer Science, Hardware & Architecture

Efficient Sparse-Matrix Multi-Vector Product on GPUs

Changwan Hong et al.

HPDC '18: PROCEEDINGS OF THE 27TH INTERNATIONAL SYMPOSIUM ON HIGH-PERFORMANCE PARALLEL AND DISTRIBUTED COMPUTING (2018)

Article Computer Science, Software Engineering

Sparse Matrix-Vector Multiplication on GPGPUs

Salvatore Filippone et al.

ACM TRANSACTIONS ON MATHEMATICAL SOFTWARE (2017)

Proceedings Paper Computer Science, Theory & Methods

An Efficient Two-Dimensional Blocking Strategy for Sparse Matrix-Vector Multiplication on GPUs

Arash Ashari et al.

PROCEEDINGS OF THE 28TH ACM INTERNATIONAL CONFERENCE ON SUPERCOMPUTING, (ICS'14) (2014)

Article Computer Science, Theory & Methods

Automatic tuning of the sparse matrix vector product on GPUs based on the ELLR-T approach

Francisco Vazquez et al.

PARALLEL COMPUTING (2012)

Article Computer Science, Theory & Methods

Analysis and performance estimation of the Conjugate Gradient method on multiple GPUs

Mickeal Verschoor et al.

PARALLEL COMPUTING (2012)

Proceedings Paper Computer Science, Theory & Methods

Sparse matrix-vector multiplication on GPGPU clusters: A new storage format and a scalable implementation

Moritz Kreutzer et al.

2012 IEEE 26TH INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM WORKSHOPS & PHD FORUM (IPDPSW) (2012)

Article Computer Science, Software Engineering

The University of Florida Sparse Matrix Collection

Timothy A. Davis et al.

ACM TRANSACTIONS ON MATHEMATICAL SOFTWARE (2011)

Article Computer Science, Software Engineering

A new approach for sparse matrix vector product on NVIDIA GPUs

F. Vazquez et al.

CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE (2011)

Article Engineering, Electrical & Electronic

A MEMORY EFFICIENT AND FAST SPARSE MATRIX VECTOR PRODUCT ON A GPU

A. Dziekonski et al.

PROGRESS IN ELECTROMAGNETICS RESEARCH-PIER (2011)

Article Computer Science, Software Engineering

Model-driven Autotuning of Sparse Matrix-Vector Multiply on GPUs

Jee W. Choi et al.

ACM SIGPLAN NOTICES (2010)

Article Computer Science, Theory & Methods

Parallel symmetric sparse matrix-vector product on scalar multi-core CPUs

M. Krotkiewski et al.

PARALLEL COMPUTING (2010)

Article Computer Science, Theory & Methods

Concurrent number cruncher: a GPU implementation of a general sparse linear solver

Luc Buatois et al.

INTERNATIONAL JOURNAL OF PARALLEL EMERGENT AND DISTRIBUTED SYSTEMS (2009)

Article Computer Science, Hardware & Architecture

Sparsity: Optimization framework for sparse matrix kernels

EJ Im et al.

INTERNATIONAL JOURNAL OF HIGH PERFORMANCE COMPUTING APPLICATIONS (2004)