On the public citation graph
Partitioning for Parallel Matrix-Matrix Multiplication with Heterogeneous Processors: The Optimal Solution
0 signed · 27 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.
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known work and none has been retracted — and get a dated CiteStamped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.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/(sici)1096-9128(199704)9:4<255::aid-cpe250>3.0.co;2-2openalex-snapshot
SUMMA: scalable universal matrix multiplication algorithm
inferredcites →https://doi.org/10.1002/9780470508206openalex-snapshot
High‐Performance Heterogeneous Computing
inferredcites →https://doi.org/10.1006/jpdc.2000.1686openalex-snapshot
Heterogeneous Distribution of Computations Solving Linear Algebra Problems on Networks of Heterogeneous Computers
inferredcites →https://doi.org/10.1007/bfb0100580openalex-snapshot
Heterogeneous distribution of computations while solving linear algebra problems on networks of heterogeneous computers
inferredcites →https://doi.org/10.1016/0167-8191(94)90095-7openalex-snapshot
The communication challenge for MPP: Intel Paragon and Meiko CS-2
inferredcites →https://doi.org/10.1109/71.963416openalex-snapshot
Matrix multiplication on heterogeneous platforms
inferredcites →https://doi.org/10.1109/clustr.2006.311901openalex-snapshot
Matrix Multiplication on Two Interconnected Processors
inferredcites →https://doi.org/10.1109/empdp.2001.905056openalex-snapshot
Heterogeneous matrix-matrix multiplication or partitioning a square into rectangles: NP-completeness and approximation algorithms
inferredcites →https://doi.org/10.1109/ipdps.2003.1213209openalex-snapshot
Natural block data decomposition for heterogeneous clusters
inferredcites →https://doi.org/10.1109/ispdc.2007.56openalex-snapshot
Towards Data Partitioning for Parallel Computing on Three Interconnected Clusters
inferredcites →https://doi.org/10.1109/sc.1998.10004openalex-snapshot
Automatically Tuned Linear Algebra Software
inferredcites →https://doi.org/10.5555/509058.509096openalex-snapshot
Automatically Tuned Linear Algebra Software
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/cpe.3609openalex-snapshot
Network‐aware optimization of communications for parallel matrix multiplication on hierarchical HPC platforms
inferred← citeshttps://doi.org/10.1007/978-3-319-14325-5_18openalex-snapshot
Optimal Data Partitioning Shape for Matrix Multiplication on Three Fully Connected Heterogeneous Processors
inferred← citeshttps://doi.org/10.1007/978-3-642-37169-1_2openalex-snapshot
Hybrid 2D/1D Blocking as Optimal Matrix-Matrix Multiplication
inferred← citeshttps://doi.org/10.1007/978-3-642-37169-1_28openalex-snapshot
Superlinear Speedup for Matrix Multiplication in GPU Devices
inferred← citeshttps://doi.org/10.1109/access.2021.3052976openalex-snapshot
Towards Optimal Matrix Partitioning for Data Parallel Computing on a Hybrid Heterogeneous Server
inferred← citeshttps://doi.org/10.1109/access.2021.3085774openalex-snapshot
A Proposed Data Partitioning Approach on Heterogeneous HPC Platforms: Data Locality Perspective
inferred← citeshttps://doi.org/10.1109/ipdpsw.2014.10openalex-snapshot
Topology-Aware Optimization of Communications for Parallel Matrix Multiplication on Hierarchical Heterogeneous HPC Platform
inferred← citeshttps://doi.org/10.1109/ipdpsw.2014.8openalex-snapshot
Searching for the Optimal Data Partitioning Shape for Parallel Matrix Matrix Multiplication on 3 Heterogeneous Processors
inferred← citeshttps://doi.org/10.1109/ispdc51135.2020.00011openalex-snapshot
Optimal Matrix Partitioning for Data Parallel Computing on Hybrid Heterogeneous Platforms
inferred← citeshttps://doi.org/10.1109/tpds.2018.2853151openalex-snapshot
Recent Advances in Matrix Partitioning for Parallel Computing on Heterogeneous Platforms
inferred← citeshttps://doi.org/10.1109/tpds.2026.3682580openalex-snapshot
Optimal Partitioning of Square Computational Domains for Parallel Computing on Hybrid Servers With Heterogeneous Processors and Heterogeneous Communication Links
inferred← citeshttps://doi.org/10.14529/jsfi140304openalex-snapshot
Heterogeneous parallel computing: from clusters of workstations to hierarchical hybrid platforms
inferred← citeshttps://doi.org/10.25781/kaust-9m51iopenalex-snapshot
Design and Optimization of OpenFOAM-based CFD Applications for Modern Hybrid and Heterogeneous HPC Platforms
inferred← citeshttps://doi.org/10.48550/arxiv.1812.06329openalex-snapshot
Layer Based Partition for Matrix Multiplication on Heterogeneous Processor Platforms
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.