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Balanced Coloring for Parallel Computing Applications

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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.

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What this work says

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

inferredcites →https://doi.org/10.1006/jpdc.1996.0117openalex-snapshot
Parallel Heuristics for Improved, Balanced Graph Colorings
inferredcites →https://doi.org/10.1007/978-1-4614-6624-6_25-1openalex-snapshot
Equitable Coloring of Graphs
inferredcites →https://doi.org/10.1007/978-3-662-03217-6openalex-snapshot
Scheduling Computer and Manufacturing Processes
inferredcites →https://doi.org/10.1007/978-3-662-04363-9openalex-snapshot
Scheduling Computer and Manufacturing Processes
inferredcites →https://doi.org/10.1016/j.parco.2012.07.001openalex-snapshot
Graph coloring algorithms for multi-core and massively multithreaded architectures
inferredcites →https://doi.org/10.1016/j.tcs.2005.09.027openalex-snapshot
Equitable colorings of bounded treewidth graphs
inferredcites →https://doi.org/10.1016/s0898-1221(97)90035-3openalex-snapshot
Domain decomposition: Parallel multilevel methods for elliptic partial differential equations
inferredcites →https://doi.org/10.1080/00029890.1973.11993408openalex-snapshot
Equitable Coloring
inferredcites →https://doi.org/10.1088/1742-5468/2008/10/p10008openalex-snapshot
Fast unfolding of communities in large networks
inferredcites →https://doi.org/10.1090/conm/352openalex-snapshot
Graph Colorings
inferredcites →https://doi.org/10.1090/conm/352/03openalex-snapshot
Equitable Coloring of Graphs
inferredcites →https://doi.org/10.1090/dimacs/026/13openalex-snapshot
Exploring the k-colorable landscape with iterated greedy
inferredcites →https://doi.org/10.1103/physreve.69.066133openalex-snapshot
Fast algorithm for detecting community structure in networks
inferredcites →https://doi.org/10.1109/hipc.2014.7116708openalex-snapshot
Scaling graph community detection on the Tilera many-core architecture
inferredcites →https://doi.org/10.1109/ipdpsw.2014.155openalex-snapshot
Parallel Heuristics for Scalable Community Detection
inferredcites →https://doi.org/10.1137/0914041openalex-snapshot
A Parallel Graph Coloring Heuristic
inferredcites →https://doi.org/10.1137/1015072openalex-snapshot
Perfect Graphs and an Application to Optimizing Municipal Services
inferredcites →https://doi.org/10.1145/2049662.2049663openalex-snapshot
The university of Florida sparse matrix collection
inferredcites →https://doi.org/10.1145/45054.214373openalex-snapshot
Multicolor reordering of sparse matrices resulting from irregular grids

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-030-20081-7_16openalex-snapshot
A Parallel MCMC Algorithm for the Balanced Graph Coloring Problem
inferred← citeshttps://doi.org/10.1007/s11227-022-04894-6openalex-snapshot
High-performance and balanced parallel graph coloring on multicore platforms
inferred← citeshttps://doi.org/10.1016/j.jpdc.2019.05.014openalex-snapshot
HyPar: A divide-and-conquer model for hybrid CPU–GPU graph processing
inferred← citeshttps://doi.org/10.1016/j.patrec.2021.05.014openalex-snapshot
Analysis of a parallel MCMC algorithm for graph coloring with nearly uniform balancing
inferred← citeshttps://doi.org/10.1109/cases.2015.7324555openalex-snapshot
High performance and energy efficient wireless NoC-enabled multicore architectures for graph analytics
inferred← citeshttps://doi.org/10.1109/icpp.2017.59openalex-snapshot
Greed Is Good: Parallel Algorithms for Bipartite-Graph Partial Coloring on Multicore Architectures
inferred← citeshttps://doi.org/10.1109/ipdps.2016.54openalex-snapshot
Parallel Graph Coloring for Manycore Architectures
inferred← citeshttps://doi.org/10.1109/sc41405.2020.00103openalex-snapshot
High-Performance Parallel Graph Coloring with Strong Guarantees on Work, Depth, and Quality
inferred← citeshttps://doi.org/10.1109/tpds.2016.2620142openalex-snapshot
Algorithms for Balanced Graph Colorings with Applications in Parallel Computing
inferred← citeshttps://doi.org/10.1145/2961027openalex-snapshot
High-Performance and Energy-Efficient Network-on-Chip Architectures for Graph Analytics
inferred← citeshttps://doi.org/10.1145/3007748.3018282openalex-snapshot
Balancing Maximal Independent Sets using Hadoop
inferred← citeshttps://doi.org/10.1145/3061639.3062194openalex-snapshot
Accelerating Graph Community Detection with Approximate Updates via an Energy-Efficient NoC
inferred← citeshttps://doi.org/10.1145/3225058.3225137openalex-snapshot
A Distributed Infomap Algorithm for Scalable and High-Quality Community Detection
inferred← citeshttps://doi.org/10.1145/3392717.3392750openalex-snapshot
cuRipples
inferred← citeshttps://doi.org/10.12681/eadd/52494openalex-snapshot
Accelerating irregular applications via efficient synchronization and data access techniques
inferred← citeshttps://doi.org/10.1561/1000000044openalex-snapshot
Fast Uncovering of Graph Communities on a Chip: Toward Scalable Community Detection on Multicore and Manycore Platforms
inferred← citeshttps://doi.org/10.48550/arxiv.1701.02628openalex-snapshot
Greed is Good: Optimistic Algorithms for Bipartite-Graph Partial Coloring on Multicore Architectures
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