lzc17

lzc17's Stars

• pytorch/pytorch

  Tensors and Dynamic neural networks in Python with strong GPU acceleration

  Language:Python85.3k1.7k47.8k23k

• alibaba/euler

  A distributed graph deep learning framework.

  Language:C++2.9k138317558

• lvyufeng/step_into_mips

  一步一步写MIPS CPU

  Language:Verilog758182154

• FlagOpen/FlagGems

  FlagGems is an operator library for large language models implemented in Triton Language.

  Language:Python375198257

• quiver-team/torch-quiver

  PyTorch Library for Low-Latency, High-Throughput Graph Learning on GPUs.

  Language:Python295126036

• chwan1016/awesome-gnn-systems

  A list of awesome GNN systems.

  Language:Python2896126

• zhiqi-0/PaGraph

  SoCC'20 and TPDS'21: Scaling GNN Training on Large Graphs via Computation-aware Caching and Partitioning.

  Language:Python501614

• K-Wu/pytorch-direct_dgl

  PyTorch-Direct code on top of PyTorch-1.8.0nightly (e152ca5) for Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture (accepted by PVLDB)

  45375

• SJTU-IPADS/gnnlab

  A Factored System for Sample-based GNN Training over GPUs

  Language:Python4212207

• xxcclong/GNN-Computing

  Artifact for PPoPP20 "Understanding and Bridging the Gaps in Current GNN Performance Optimizations"

  Language:C++39323

• MITIBMxGraph/SALIENT

  The official SALIENT system described in the paper "Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining".

  Language:C++38427

• GATECH-EIC/PipeGCN

  [ICLR 2022] "PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication" by Cheng Wan, Youjie Li, Cameron R. Wolfe, Anastasios Kyrillidis, Nam Sung Kim, Yingyan Lin

  Language:Python31317

• MITIBMxGraph/SALIENT_artifact

  Artifact evaluation of the paper "Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining"

  Language:C++24323

• iclementine/optimize_softmax

  Optimize softmax in triton in many cases

  Language:Python160

• RC4ML/Legion

  GPU-initiated Large-scale GNN System [ATC 23]

  Language:Cuda15233

• initzhang/DUCATI_SIGMOD

  Accepted paper of SIGMOD 2023, DUCATI: A Dual-Cache Training System for Graph Neural Networks on Giant Graphs with the GPU

  Language:Python142102

• JIESUN233/Legion

  RC4ML GNN System Projects

  Language:C++9111

• AugF/gnn-parallel-project

  关于研究课题“图神经网络的并行化”的阶段性的工作记录

  Language:Python6300