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Scalable Graph Traversal on Sunway TaihuLight with Ten Million Cores
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-319-03889-6_5openalex-snapshot
Efficient Hybrid Breadth-First Search on GPUs
inferredcites →https://doi.org/10.1007/s11432-016-5588-7openalex-snapshot
The Sunway TaihuLight supercomputer: system and applications
inferredcites →https://doi.org/10.1109/asap.2012.30openalex-snapshot
A Reconfigurable Computing Approach for Efficient and Scalable Parallel Graph Exploration
inferredcites →https://doi.org/10.1109/hipc.2013.6799136openalex-snapshot
Parallel distributed breadth first search on GPU
inferredcites →https://doi.org/10.1109/hpcsim.2015.7237065openalex-snapshot
Fast and scalable NUMA-based thread parallel breadth-first search
inferredcites →https://doi.org/10.1109/ipdps.2012.43openalex-snapshot
Fast and Efficient Graph Traversal Algorithm for CPUs: Maximizing Single-Node Efficiency
inferredcites →https://doi.org/10.1109/ipdps.2013.72openalex-snapshot
Scaling Techniques for Massive Scale-Free Graphs in Distributed (External) Memory
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/pact.2011.14openalex-snapshot
Efficient Parallel Graph Exploration on Multi-Core CPU and GPU
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.2010.46openalex-snapshot
Scalable Graph Exploration on Multicore Processors
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.2014.50openalex-snapshot
Faster Parallel Traversal of Scale Free Graphs at Extreme Scale with Vertex Delegates
inferredcites →https://doi.org/10.1109/tpds.2007.70811openalex-snapshot
Efficient Breadth-First Search on the Cell/BE Processor
inferredcites →https://doi.org/10.1109/tpds.2015.2475270openalex-snapshot
Parallel Distributed Breadth First Search on the Kepler Architecture
inferredcites →https://doi.org/10.1145/1837274.1837289openalex-snapshot
An effective GPU implementation of breadth-first search
inferredcites →https://doi.org/10.1145/1941553.1941590openalex-snapshot
Accelerating CUDA graph algorithms at maximum warp
inferredcites →https://doi.org/10.1145/2063384.2063471openalex-snapshot
Parallel breadth-first search on distributed memory systems
inferredcites →https://doi.org/10.1145/2688500.2688538openalex-snapshot
Gunrock: a high-performance graph processing library on the GPU
inferredcites →https://doi.org/10.1145/2858788.2688538openalex-snapshot
Gunrock: a high-performance graph processing library on the GPU
inferredcites →https://doi.org/10.48550/arxiv.1705.04590openalex-snapshot
Distributed-Memory Breadth-First Search on Massive Graphs
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-030-05677-3_4openalex-snapshot
On Retargeting the AI Programming Framework to New Hardwares
inferred← citeshttps://doi.org/10.1007/978-3-030-78759-2_33openalex-snapshot
Performance of Supercomputers Based on Angara Interconnect and Novel AMD CPUs/GPUs
inferred← citeshttps://doi.org/10.1007/s10586-024-05057-3openalex-snapshot
Parallel optimization techniques for ultra-large scale refined numerical simulations on Chinese supercomputers
inferred← citeshttps://doi.org/10.1007/s11227-023-05114-5openalex-snapshot
swParaFEM: a highly efficient parallel finite element solver on Sunway many-core architecture
inferred← citeshttps://doi.org/10.1007/s11704-022-2440-7openalex-snapshot
Towards optimized tensor code generation for deep learning on sunway many-core processor
inferred← citeshttps://doi.org/10.1007/s42514-022-00109-9openalex-snapshot
Status, challenges and trends of data-intensive supercomputing
inferred← citeshttps://doi.org/10.1016/j.jpdc.2019.12.013openalex-snapshot
Efficient AES implementation on Sunway TaihuLight supercomputer: A systematic approach
inferred← citeshttps://doi.org/10.1016/j.parco.2018.06.001openalex-snapshot
Evaluating the SW26010 many-core processor with a micro-benchmark suite for performance optimizations
inferred← citeshttps://doi.org/10.1016/j.parco.2025.103147openalex-snapshot
ALBBA: An efficient ALgebraic Bypass BFS Algorithm on long vector architectures
inferred← citeshttps://doi.org/10.1109/access.2022.3163542openalex-snapshot
FleX: A Flex Interconnected HPC System With Stochastic Load Balancing Scheme
inferred← citeshttps://doi.org/10.1109/bdcloud.2018.00094openalex-snapshot
Accelerating Lattice QCD on Sunway Many-Core Processor
inferred← citeshttps://doi.org/10.1109/ccgrid.2018.00086openalex-snapshot
Extreme-Scale Realistic Stencil Computations on Sunway TaihuLight with Ten Million Cores
inferred← citeshttps://doi.org/10.1109/cluster.2018.00021openalex-snapshot
OpenACC vs the Native Programming on Sunway TaihuLight: A Case Study with GTC-P
inferred← citeshttps://doi.org/10.1109/hpcc-smartcity-dss50907.2020.00090openalex-snapshot
Probing the Underlying Implementation Mechanisms of SW26010
inferred← citeshttps://doi.org/10.1109/hpcc/smartcity/dss.2018.00109openalex-snapshot
Multi-role SpTRSV on Sunway Many-Core Architecture
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/ipdps.2018.00118openalex-snapshot
Scalable Breadth-First Search on a GPU Cluster
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/sc41404.2022.00024openalex-snapshot
Scaling Graph 500 SSSP to 140 Trillion Edges with over 40 Million Cores
inferred← citeshttps://doi.org/10.1109/sc41406.2024.00107openalex-snapshot
Doubling Graph Traversal Efficiency to 198 TeraTEPS on the Supercomputer Fugaku
inferred← citeshttps://doi.org/10.1109/tc.2020.3015727openalex-snapshot
A Fast Lock for Explicit Message Passing Architectures
inferred← citeshttps://doi.org/10.1109/tpds.2020.2970047openalex-snapshot
Distributed Graph Computation Meets Machine Learning
inferred← citeshttps://doi.org/10.1109/tpds.2020.3037082openalex-snapshot
Parallelization and Optimization of NSGA-II on Sunway TaihuLight System
inferred← citeshttps://doi.org/10.1109/tpds.2021.3100785openalex-snapshot
TianheGraph: Customizing Graph Search for Graph500 on Tianhe Supercomputer
inferred← citeshttps://doi.org/10.1109/tpds.2026.3681212openalex-snapshot
UpDown: A Supercomputer Co-Designed for Scalable Graph Processing
inferred← citeshttps://doi.org/10.1145/3205289.3205313openalex-snapshot
Towards Efficient SpMV on Sunway Manycore Architectures
inferred← citeshttps://doi.org/10.1145/3209208openalex-snapshot
Extreme-Scale High-Order WENO Simulations of 3-D Detonation Wave with 10 Million Cores
inferred← citeshttps://doi.org/10.1145/3503221.3508403openalex-snapshot
Scaling graph traversal to 281 trillion edges with 40 million cores
inferred← citeshttps://doi.org/10.1145/3556976openalex-snapshot
DynamAP: Architectural Support for Dynamic Graph Traversal on the Automata Processor
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/10.1145/3696410.3714833openalex-snapshot
GraphCSR: A Space and Time-Efficient Sparse Matrix Representation for Web-scale Graph Processing
inferred← citeshttps://doi.org/10.1145/3710848.3710859openalex-snapshot
BerryBees: Breadth First Search by Bit-Tensor-Cores
inferred← citeshttps://doi.org/10.1145/3712285.3759831openalex-snapshot
TianheEngine: Hierarchy-aware Adaptive Partitioning System for Trillion-scale Graph Processing
inferred← citeshttps://doi.org/10.1145/3797905.3800549openalex-snapshot
CORE-BFS: Communication-Optimized REctangular-partitioned BFS Achieving 160.845 TeraTEPS on Frontier Supercomputer
inferred← citeshttps://doi.org/10.1145/3820156openalex-snapshot
A Six-Year Journey of Data Collecting, Reviewing, and Reporting for the TaihuLight Supercomputer
inferred← citeshttps://doi.org/10.1177/1094342019826667openalex-snapshot
Angara interconnect makes GPU-based Desmos supercomputer an efficient tool for molecular dynamics calculations
inferred← citeshttps://doi.org/10.14778/3749646.3749691openalex-snapshot
GraphCSR: A Degree-Equalized CSR Format for Large-Scale Graph Processing
inferred← citeshttps://doi.org/10.1631/fitee.1800424openalex-snapshot
Exploring high-performance processor architecture beyond the exascale
inferred← citeshttps://doi.org/10.1631/fitee.1800442openalex-snapshot
A vision of post-exascale programming
inferred← citeshttps://doi.org/10.26599/tst.2018.9010112openalex-snapshot
Heterogeneous parallel algorithm design and performance optimization for WENO on the Sunway Taihulight supercomputer
inferred← citeshttps://doi.org/10.48550/arxiv.2102.01254openalex-snapshot
Customizing Graph500 for Tianhe Pre-exacale system
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