cuGraph

E890459

cuGraph is a GPU-accelerated graph analytics library in the NVIDIA RAPIDS ecosystem designed to perform large-scale graph processing and algorithms efficiently on NVIDIA GPUs.

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Statements (56)

Predicate Object
instanceOf GPU-accelerated graph analytics library
RAPIDS library
open-source software
acceleratedBy NVIDIA GPU NERFINISHED
developer NVIDIA NERFINISHED
documentation https://docs.rapids.ai/api/cugraph/stable/
domain graph analytics
graph processing
feature GPU-accelerated primitives
NetworkX-compatible API
distributed graph analytics
multi-GPU support
single-GPU support
integratesWith Dask NERFINISHED
NetworkX NERFINISHED
cuDF NERFINISHED
license Apache License 2.0
optimizedFor high-performance computing
large-scale graphs
partOf RAPIDS NERFINISHED
RAPIDS AI ecosystem NERFINISHED
programmingLanguage C++
CUDA NERFINISHED
Python
repository https://github.com/rapidsai/cugraph
supportsAlgorithm Betweenness centrality
Breadth-First Search NERFINISHED
Breadth-First Search-based traversal
Connected Components
Eigenvector centrality
Graph coloring
HITS
Jaccard similarity
K-Core decomposition
Katz centrality NERFINISHED
Leiden community detection
Louvain community detection
Maximum Weight Matching
Minimum Spanning Tree
PageRank NERFINISHED
Single-Source Shortest Path
Strongly Connected Components
Triangle Counting
Weakly Connected Components
supportsHardware NVIDIA RTX GPUs NERFINISHED
NVIDIA data center GPUs NERFINISHED
supportsLanguageBinding C++ API NERFINISHED
Python API NERFINISHED
useCase fraud detection
recommendation systems
social network analysis
telecom network analysis
usesFramework CUDA NERFINISHED
RAFT NERFINISHED
RAPIDS Memory Manager NERFINISHED
cuDF NERFINISHED

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NVIDIA RAPIDS component cuGraph