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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.

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  • Cuda 39.5%
  • C++ 30.1%
  • Python 16.5%
  • Cython 5.7%
  • C 4.6%
  • CMake 1.7%
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