On the public citation graph

MERBIT: A GPU-Based SpMV Method for Iterative Workloads

https://doi.org/10.2139/ssrn.6922212
0 signed · 10 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-642-11515-8_10openalex-snapshot
Automatically Tuning Sparse Matrix-Vector Multiplication for GPU Architectures
inferredcites →https://doi.org/10.1016/j.jpdc.2014.11.001openalex-snapshot
A model-driven blocking strategy for load balanced sparse matrix–vector multiplication on GPUs
inferredcites →https://doi.org/10.1016/j.jpdc.2016.03.011openalex-snapshot
Optimization techniques for sparse matrix–vector multiplication on GPUs
inferredcites →https://doi.org/10.1080/15427951.2005.10129098openalex-snapshot
A Survey on PageRank Computing
inferredcites →https://doi.org/10.1109/tpds.2014.2308221openalex-snapshot
Performance Analysis and Optimization for SpMV on GPU Using Probabilistic Modeling
inferredcites →https://doi.org/10.1137/0913035openalex-snapshot
Bi-CGSTAB: A Fast and Smoothly Converging Variant of Bi-CG for the Solution of Nonsymmetric Linear Systems
inferredcites →https://doi.org/10.1145/1837853.1693471openalex-snapshot
Model-driven autotuning of sparse matrix-vector multiply on GPUs
inferredcites →https://doi.org/10.1145/2751205.2751209openalex-snapshot
CSR5
inferredcites →https://doi.org/10.1145/3480935openalex-snapshot
Ginkgo : A Modern Linear Operator Algebra Framework for High Performance Computing
inferredcites →https://doi.org/10.1145/800195.805928openalex-snapshot
Reducing the bandwidth of sparse symmetric matrices
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.