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Adaptive Asynchronous Parallelization of Graph Algorithms
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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/jagm.1996.0046openalex-snapshot
An Incremental Algorithm for a Generalization of the Shortest-Path Problem
inferredcites →https://doi.org/10.1007/s00224-006-1350-7openalex-snapshot
Balanced Graph Partitioning
inferredcites →https://doi.org/10.1007/s11749-016-0481-7openalex-snapshot
A random forest guided tour
inferredcites →https://doi.org/10.1016/0304-3975(95)00079-8openalex-snapshot
On the computational complexity of dynamic graph problems
inferredcites →https://doi.org/10.1016/b978-0-444-88071-0.50023-0openalex-snapshot
General Purpose Parallel Architectures
inferredcites →https://doi.org/10.1016/j.artint.2013.10.003openalex-snapshot
Algorithm runtime prediction: Methods & evaluation
inferredcites →https://doi.org/10.1016/j.comnet.2012.10.007openalex-snapshot
Reprint of: The anatomy of a large-scale hypertextual web search engine
inferredcites →https://doi.org/10.1016/s0167-7152(98)00088-1openalex-snapshot
Relative-error prediction
inferredcites →https://doi.org/10.1016/s0304-3800(02)00257-0openalex-snapshot
Review and comparison of methods to study the contribution of variables in artificial neural network models
inferredcites →https://doi.org/10.1080/00029890.1980.11995162openalex-snapshot
Rearranging the Alternating Harmonic Series
inferredcites →https://doi.org/10.1109/icassp.2011.5947611openalex-snapshot
Extensions of recurrent neural network language model
inferredcites →https://doi.org/10.1109/icde.2013.6544855openalex-snapshot
Catch the Wind: Graph workload balancing on cloud
inferredcites →https://doi.org/10.1109/infcom.1991.147605openalex-snapshot
Convergence of synchronous and asynchronous algorithms in multiclass networks
inferredcites →https://doi.org/10.1109/ipdps.2007.370581openalex-snapshot
Dynamic Load Balancing of Unbalanced Computations Using Message Passing
inferredcites →https://doi.org/10.1109/ipdps.2017.95openalex-snapshot
Partitioning Trillion-Edge Graphs in Minutes
inferredcites →https://doi.org/10.1109/ipdps.2019.00109openalex-snapshot
Incrementalization of Vertex-Centric Programs
inferredcites →https://doi.org/10.1109/mc.2009.263openalex-snapshot
Matrix Factorization Techniques for Recommender Systems
inferredcites →https://doi.org/10.1109/tbdata.2015.2472014openalex-snapshot
Petuum: A New Platform for Distributed Machine Learning on Big Data
inferredcites →https://doi.org/10.1109/tpami.2013.50openalex-snapshot
Representation Learning: A Review and New Perspectives
inferredcites →https://doi.org/10.1109/tpds.2013.235openalex-snapshot
Maiter: An Asynchronous Graph Processing Framework for Delta-Based Accumulative Iterative Computation
inferredcites →https://doi.org/10.1111/j.1467-985x.2004.298_11.xopenalex-snapshot
The Elements of Statistical Learning
inferredcites →https://doi.org/10.1117/1.2819119openalex-snapshot
Book Review: Pattern Recognition and Machine Learning
inferredcites →https://doi.org/10.1137/1.9781611973075.76openalex-snapshot
A Model of Computation for MapReduce
inferredcites →https://doi.org/10.1145/2339530.2339722openalex-snapshot
Streaming graph partitioning for large distributed graphs
inferredcites →https://doi.org/10.1145/2442516.2442538openalex-snapshot
Scheduling parallel programs by work stealing with private deques
inferredcites →https://doi.org/10.1145/2487788.2487984openalex-snapshot
Towards highly scalable pregel-based graph processing platform with x10
inferredcites →https://doi.org/10.1145/2517349.2522739openalex-snapshot
A lightweight infrastructure for graph analytics
inferredcites →https://doi.org/10.1145/2688500.2688508openalex-snapshot
SYNC or ASYNC: time to fuse for distributed graph-parallel computation
inferredcites →https://doi.org/10.1145/2736277.2741096openalex-snapshot
Effective Techniques for Message Reduction and Load Balancing in Distributed Graph Computation
inferredcites →https://doi.org/10.1145/28869.28874openalex-snapshot
Fibonacci heaps and their uses in improved network optimization algorithms
inferredcites →https://doi.org/10.1145/2992784openalex-snapshot
Synergistic Analysis of Evolving Graphs
inferredcites →https://doi.org/10.1145/3035918.3035942openalex-snapshot
Parallelizing Sequential Graph Computations
inferredcites →https://doi.org/10.1145/3035918.3035944openalex-snapshot
Incremental Graph Computations
inferredcites →https://doi.org/10.1145/3183713.3196918openalex-snapshot
Adaptive Asynchronous Parallelization of Graph Algorithms
inferredcites →https://doi.org/10.1145/324133.324234openalex-snapshot
Scheduling multithreaded computations by work stealing
inferredcites →https://doi.org/10.1145/3318464.3389745openalex-snapshot
Application Driven Graph Partitioning
inferredcites →https://doi.org/10.1145/3749740.3749753openalex-snapshot
A Bridging Model for Parallel Computation
inferredcites →https://doi.org/10.1186/1471-2105-7-3openalex-snapshot
Gene selection and classification of microarray data using random forest
inferredcites →https://doi.org/10.14778/2732232.2732238openalex-snapshot
From "think like a vertex" to "think like a graph"
inferredcites →https://doi.org/10.14778/3324301.3324307openalex-snapshot
Multi-dimensional balanced graph partitioning via projected gradient descent
inferredcites →https://doi.org/10.21437/interspeech.2010-343openalex-snapshot
Recurrent neural network based language model
inferredcites →https://doi.org/10.5555/1855741.1855744openalex-snapshot
Improving MapReduce performance in heterogeneous environments
inferredcites →https://doi.org/10.5555/2387880.2387883openalex-snapshot
PowerGraph: distributed graph-parallel computation on natural graphs
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-981-16-0479-9_2openalex-snapshot
Distributed Graph Processing: Techniques and Systems
inferred← citeshttps://doi.org/10.1016/j.sysarc.2026.103834openalex-snapshot
GraphDelta: A distributed incremental framework for efficient dynamic graph computing in edge intelligence
inferred← citeshttps://doi.org/10.1109/icde53745.2022.00052openalex-snapshot
Linking Entities across Relations and Graphs
inferred← citeshttps://doi.org/10.1109/icde60146.2024.00169openalex-snapshot
Graph Computation with Adaptive Granularity
inferred← citeshttps://doi.org/10.1109/tkde.2021.3097998openalex-snapshot
Graph Algorithms with Partition Transparency
inferred← citeshttps://doi.org/10.1109/tkde.2023.3313726openalex-snapshot
DKWS: A Distributed System for Keyword Search on Massive Graphs
inferred← citeshttps://doi.org/10.1109/tpds.2024.3453872openalex-snapshot
Towards Efficient Graph Processing in Geo-Distributed Data Centers
inferred← citeshttps://doi.org/10.1145/3597428openalex-snapshot
The Evolution of Distributed Systems for Graph Neural Networks and Their Origin in Graph Processing and Deep Learning: A Survey
inferred← citeshttps://doi.org/10.1145/3639363openalex-snapshot
Linking Entities across Relations and Graphs
inferred← citeshttps://doi.org/10.14778/3632093.3632094openalex-snapshot
RAGraph: A Region-Aware Framework for Geo-Distributed Graph Processing
inferred← citeshttps://doi.org/10.48550/arxiv.2010.05958openalex-snapshot
FedAT: A High-Performance and Communication-Efficient Federated Learning System with Asynchronous Tiers
inferred← citeshttps://doi.org/10.54254/2755-2721/6/20230835openalex-snapshot
A hybrid parallelization approach based on workers grouping algorithm
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