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Extreme scale breadth-first search on supercomputers

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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/10.1007/11564126_17openalex-snapshot
Realistic, Mathematically Tractable Graph Generation and Evolution, Using Kronecker Multiplication
inferredcites →https://doi.org/10.1007/978-3-319-07518-1_23openalex-snapshot
Fast and Energy-efficient Breadth-First Search on a Single NUMA System
inferredcites →https://doi.org/10.1016/j.ipl.2004.01.014openalex-snapshot
An optimal storage format for sparse matrices
inferredcites →https://doi.org/10.1109/hipc.2013.6799136openalex-snapshot
Parallel distributed breadth first search on GPU
inferredcites →https://doi.org/10.1109/hoti.2011.21openalex-snapshot
The Tofu Interconnect
inferredcites →https://doi.org/10.1109/iiswc.2011.6114175openalex-snapshot
Performance characteristics of Graph500 on large-scale distributed environment
inferredcites →https://doi.org/10.1109/ipdps.2008.4536313openalex-snapshot
On the representation and multiplication of hypersparse matrices
inferredcites →https://doi.org/10.1109/ipdps.2014.52openalex-snapshot
Traversing Trillions of Edges in Real Time: Graph Exploration on Large-Scale Parallel Machines
inferredcites →https://doi.org/10.1109/ipdpsw.2013.159openalex-snapshot
Distributed Memory Breadth-First Search Revisited: Enabling Bottom-Up Search
inferredcites →https://doi.org/10.1109/islped.2011.5993668openalex-snapshot
The K computer: Japanese next-generation supercomputer development project
inferredcites →https://doi.org/10.1109/sc.2005.4openalex-snapshot
A Scalable Distributed Parallel Breadth-First Search Algorithm on BlueGene/L
inferredcites →https://doi.org/10.1109/sc.2012.25openalex-snapshot
Breaking the speed and scalability Barriers for Graph exploration on distributed-memory machines
inferredcites →https://doi.org/10.1109/sc.2012.50openalex-snapshot
Direction-optimizing Breadth-First Search
inferredcites →https://doi.org/10.1109/sc.2012.70openalex-snapshot
Large-scale energy-efficient graph traversal: A path to efficient data-intensive supercomputing
inferredcites →https://doi.org/10.1145/2063384.2063471openalex-snapshot
Parallel breadth-first search on distributed memory systems
inferredcites →https://doi.org/10.1145/2287076.2287104openalex-snapshot
Highly scalable graph search for the Graph500 benchmark
inferredcites →https://doi.org/10.48550/arxiv.1104.4518openalex-snapshot
Parallel Breadth-First Search on Distributed Memory Systems
inferredcites →https://doi.org/10.5555/2016802.2016889openalex-snapshot
The K computer: Japanese next-generation supercomputer development project
inferredcites →https://doi.org/10.5555/2388996.2389015openalex-snapshot
Large-scale energy-efficient graph traversal: a path to efficient data-intensive supercomputing

What points at this work

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

inferred← citeshttps://doi.org/10.1007/s11704-021-1004-6openalex-snapshot
Fast and efficient parallel breadth-first search with power-law graph transformation
inferred← citeshttps://doi.org/10.1007/s42514-020-00056-3openalex-snapshot
Scalable and efficient graph traversal on high-throughput cluster
inferred← citeshttps://doi.org/10.1038/s41439-022-00223-8openalex-snapshot
Building cloud computing environments for genome analysis in Japan
inferred← citeshttps://doi.org/10.1109/cluster.2018.00043openalex-snapshot
Computing Exact Vertex Eccentricity on Massive-Scale Distributed Graphs
inferred← citeshttps://doi.org/10.1109/hoti.2019.00013openalex-snapshot
The First Supercomputer with HyperX Topology: A Viable Alternative to Fat-Trees?
inferred← citeshttps://doi.org/10.1109/hpca56546.2023.10071102openalex-snapshot
SGCN: Exploiting Compressed-Sparse Features in Deep Graph Convolutional Network Accelerators
inferred← citeshttps://doi.org/10.1109/icde53745.2022.00199openalex-snapshot
XTree: Traversal-Based Partitioning for Extreme-Scale Graph Processing on Supercomputers
inferred← citeshttps://doi.org/10.1109/icispc51671.2020.00020openalex-snapshot
The Design of Discrete Memory-Accessing Library of Unstructured-grid for Domestic Heterogeneous Many-Core Architecture
inferred← citeshttps://doi.org/10.1109/ipdps.2018.00118openalex-snapshot
Scalable Breadth-First Search on a GPU Cluster
inferred← citeshttps://doi.org/10.1109/ipdpsw50202.2020.00128openalex-snapshot
Implementing an Attack Graph Generator in CUDA
inferred← citeshttps://doi.org/10.1109/ispa-bdcloud-socialcom-sustaincom57177.2022.00069openalex-snapshot
GreenBFS: Space-Efficient BFS Engine for Power-aware Graph Processing
inferred← citeshttps://doi.org/10.1109/sc.2018.00059openalex-snapshot
ShenTu: Processing Multi-Trillion Edge Graphs on Millions of Cores in Seconds
inferred← citeshttps://doi.org/10.1109/tmscs.2018.2797195openalex-snapshot
Multilevel Parallelism for the Exploration of Large-Scale Graphs
inferred← citeshttps://doi.org/10.1109/tpds.2021.3100785openalex-snapshot
TianheGraph: Customizing Graph Search for Graph500 on Tianhe Supercomputer
inferred← citeshttps://doi.org/10.1145/3295500.3356140openalex-snapshot
HyperX topology
inferred← citeshttps://doi.org/10.1145/3581783.3613828openalex-snapshot
GraphMedia: Communication-balanced Graph Searching for Billion-scale Social Media Access
inferred← citeshttps://doi.org/10.1145/3627535.3638498openalex-snapshot
GraphCube: Interconnection Hierarchy-aware Graph Processing
inferred← citeshttps://doi.org/10.1145/3673038.3673129openalex-snapshot
SuperCSR: A Space-Time-Efficient CSR Representation for Large-scale Graph Applications on Supercomputers
inferred← citeshttps://doi.org/10.1145/3696410.3714833openalex-snapshot
GraphCSR: A Space and Time-Efficient Sparse Matrix Representation for Web-scale Graph Processing
inferred← citeshttps://doi.org/10.1145/3712285.3759831openalex-snapshot
TianheEngine: Hierarchy-aware Adaptive Partitioning System for Trillion-scale Graph Processing
inferred← citeshttps://doi.org/10.1145/3721145.3725740openalex-snapshot
YH-Light: Yielding Hierarchy-aware Partitioner for Large-scale Graph Processing
inferred← citeshttps://doi.org/10.1145/3797905.3800549openalex-snapshot
CORE-BFS: Communication-Optimized REctangular-partitioned BFS Achieving 160.845 TeraTEPS on Frontier Supercomputer
inferred← citeshttps://doi.org/10.14778/3749646.3749691openalex-snapshot
GraphCSR: A Degree-Equalized CSR Format for Large-Scale Graph Processing
inferred← citeshttps://doi.org/10.24963/ijcai.2019/175openalex-snapshot
Direction-Optimizing Breadth-First Search with External Memory Storage
inferred← citeshttps://doi.org/10.29099/ijair.v2i2.58openalex-snapshot
Solution Search Simulation The Shortest Step On Chess Horse Using Breadth-First Search Algorithm
inferred← citeshttps://doi.org/10.48550/arxiv.2102.01254openalex-snapshot
Customizing Graph500 for Tianhe Pre-exacale system
inferred← citeshttps://doi.org/10.59254/sbpo-2019-106960openalex-snapshot
Estudo sobre o uso do framework OpenMP na paralelização de um algoritmo para o problema de busca em largura.
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