Implementing Sparse Matrix-Vector Multiplication on Throughput-Oriented Processors
Nathan Bell, Michael Garland · SC 2009
Open referenceReferences
This page separates papers, comparable projects, and follow-up reading so readers can understand what this project learned from and what ecosystem it belongs to.
Core Papers
Merge-based Parallel Sparse Matrix-Vector Multiplication
Duane Merrill, Michael Garland · SC 2016
Open referenceAutomatic Tuning of the Sparse Matrix Vector Product on GPUs Based on the ELL-R-T Format
Fernando Vázquez et al. · Concurrency and Computation 2011
Open referenceRepresentative Projects
NVIDIA cuSPARSE
Vendor baseline and API reference for sparse GPU primitives
Open referenceGinkgo
Production-quality sparse linear algebra library with strong docs
Open referenceModernGPU
Useful for understanding scan / merge / partitioning techniques on GPU
Open referenceSuiteSparse Matrix Collection
Representative real-world sparse matrices for benchmark reasoning
Open referenceHow to read these references
- Start with Bell & Garland for the classic GPU SpMV framing.
- Read Merrill & Garland to understand why Merge Path matters for irregular work distribution.
- Compare against cuSPARSE / Ginkgo / SuiteSparse to place this project inside the real sparse-computing ecosystem.