AiX-im's repositories
Sample-based-GNN
code for back up
NeutronStarLite
a DISTRIBUTED gnn SYSTEM
Language:CudaGPL-3.0000
Language:Cuda000
CUDALibrarySamples
CUDA Library Samples
Language:CudaNOASSERTION000
dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Language:PythonApache-2.0000
Language:Cuda000
gpu-algorithms-labs
IMPACT GPU Algorithms Teaching Labs
Language:C++NCSA000
moderngpu
Patterns and behaviors for GPU computing
Language:C++NOASSERTION000
Language:Jupyter Notebook000
openmlsys-zh
《Machine Learning Systems: Design and Implementation》- Chinese Version
000
pytorch-direct_dgl
PyTorch-Direct code base on top of PyTorch-1.8.0nightly (e152ca5) for Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture (accepted by PVLDB)
000
sep-graph
This is the repo of "SEP-Graph: Finding Shortest Execution Paths for Graph Processing under a Hybrid Framework on GPU"
Apache-2.0000
Subway
Out-of-GPU-Memory Graph Processing with Minimal Data Transfer
000