GATECH-EIC / BNS-GCN
[MLSys 2022] "BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node Sampling" by Cheng Wan, Youjie Li, Ang Li, Nam Sung Kim, Yingyan Lin
☆54Updated last year
Alternatives and similar repositories for BNS-GCN:
Users that are interested in BNS-GCN are comparing it to the libraries listed below
- [ICLR 2022] "PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication" by Cheng Wan, Y…☆31Updated last year
- The official SALIENT system described in the paper "Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and P…☆38Updated last year
- ☆36Updated 9 months ago
- ☆46Updated 2 years ago
- ☆44Updated this week
- Artifact for PPoPP20 "Understanding and Bridging the Gaps in Current GNN Performance Optimizations"☆39Updated 3 years ago
- Artifact for OSDI'23: MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel Communication-Computation Pipelining on Mult…☆41Updated 11 months ago
- Graphiler is a compiler stack built on top of DGL and TorchScript which compiles GNNs defined using user-defined functions (UDFs) into ef…☆61Updated 2 years ago
- A Framework for Graph Sampling and Random Walk on GPUs.☆39Updated last month
- Largest realworld open-source graph dataset - Worked done under IBM-Illinois Discovery Accelerator Institute and Amazon Research Awards a…☆79Updated 2 months ago
- Distributed Multi-GPU GNN Framework☆37Updated 4 years ago
- Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching☆37Updated 8 months ago
- SoCC'20 and TPDS'21: Scaling GNN Training on Large Graphs via Computation-aware Caching and Partitioning.☆50Updated last year
- ☆9Updated 3 years ago
- PyTorch-Direct code on top of PyTorch-1.8.0nightly (e152ca5) for Large Graph Convolutional Network Training with GPU-Oriented Data Commun…☆45Updated last year
- Artifact for USENIX ATC'23: TC-GNN: Bridging Sparse GNN Computation and Dense Tensor Cores on GPUs.☆46Updated last year
- ☆106Updated 3 years ago
- Repo for the IISWC 2018 submission☆9Updated 3 years ago
- [Mlsys'22] Understanding gnn computational graph: A coordinated computation, io, and memory perspective☆18Updated last year
- ☆12Updated 2 years ago
- Artifact for OSDI'21 GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs.☆65Updated 2 years ago
- ☆73Updated 3 years ago
- Artifact evaluation of the paper "Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining"☆24Updated 3 years ago
- Distributed Deep Graph Learning Framework for Dynamic Graphs☆12Updated 11 months ago
- [HPCA 2022] GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design☆35Updated 2 years ago
- Graph Sampling using GPU☆51Updated 2 years ago
- ☆11Updated 2 years ago
- A reading list for deep graph learning acceleration.☆240Updated last month
- ICLR 2021☆47Updated 3 years ago