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This project forked from rapidsai/wholegraph

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License: Apache License 2.0

Shell 1.70% C++ 30.33% Python 16.62% C 4.68% Cuda 38.98% CMake 1.74% Dockerfile 0.05% HTML 0.15% Cython 5.75%

wholegraph's Introduction

WholeGraph

WholeGraph is developed to help train large-scale Graph Neural Networks(GNN). WholeGraph provides underlying storage structure called WholeMemory. WholeMemory is a Tensor like storage and provide multi-GPU support. It is optimized for NVLink systems like DGX A100 servers. By working together with cuGraph, cuGraph-Ops, cuGraph-DGL, cuGraph-PyG, and upstream DGL and PyG, it will be easy to build GNN applications.

Table of content

Installation
- Getting WholeGraph Packages
- Building from Source
General
- WholeGraph Introduction
Packages
- libwholegraph (C/CUDA)
- pylibwholegraph
API Docs
- Python
- C
Reference
- RAPIDS
- cuGraph

wholegraph's People

Contributors

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