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Parallel Sparse Matrix-Vector and Matrix-Transpose-Vector Multiplication Using Compressed Sparse Blocks
On the Representation and Multiplication of Hypersparse Matrices
Reduced-Bandwidth Multithreaded Algorithms for Sparse Matrix-Vector Multiplication
Accelerating Sparse Matrix Computations via Data Compression
Hierarchical Diagonal Blocking and Precision Reduction Applied to Combinatorial Multigrid
Exploiting Compression Opportunities to Improve SpMxV Performance on Shared Memory Systems
An Extended Compression Format for the Optimization of Sparse Matrix-Vector Multiplication
Implementing Sparse Matrix-Vector Multiplication on Throughput-Oriented Processors
Automatically Tuning Sparse Matrix-Vector Multiplication for GPU Architectures
Model-driven Autotuning of Sparse
Matrix-Vector Multiply on GPUs
A new approach for sparse matrix vector product on NVIDIA GPUs
clSpMV: A Cross-Platform OpenCL SpMV Framework on GPUs
SMAT: An Input Adaptive Auto-Tuner
for Sparse Matrix-Vector Multiplication
Optimization of sparse matrix-vector multiplication using reordering techniques on GPUs
Accelerating Sparse Matrix-Vector Multiplication on GPUs using Bit-Representation-Optimized Schemes
Efficient Sparse Matrix-Vector Multiplication on x86-Based Many-Core Processors
A Unified Sparse Matrix Data Format for Efficient General Sparse Matrix-Vector Multiplication on Modern Processors with Wide SIMD Units
Efficient Sparse Matrix-Vector Multiplication on GPUs using the CSR Storage Format
Fast Sparse Matrix-Vector Multiplication on GPUs for Graph Applications
An Efficient Two-Dimensional Blocking Strategy for Sparse Matrix-Vector Multiplication on GPUs
CSR5: An Efficient Storage Format for Cross-Platform Sparse Matrix-Vector Multiplication
GPU accelerated sparse matrix-vector multiplication and sparsematrix-transpose vector multiplication
Optimizing and Auto-Tuning Scale-Free Sparse Matrix-Vector Multiplication on Intel Xeon Phi
Automatic Selection of
Sparse Matrix Representation on GPUs
LightSpMV: Faster CSR-based Sparse Matrix-Vector Multiplication on CUDA-enabled GPUs
Structural Agnostic SpMV: Adapting CSR-Adaptive for Irregular Matrices
A Cross-Platform SpMV Framework on Many-Core Architectures
Merge-based Parallel Sparse Matrix-Vector Multiplication
A work-efficient parallel sparse matrix-sparse vector multiplication algorithm
Dynamic Sparse-Matrix Allocation on GPUs
Evaluation Criteria for Sparse
Matrix Storage Formats (Contains citations for many sparse matrix storage formats)