GATECH-EIC / BNS-GCNLinks
[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
☆56Updated 2 years ago
Alternatives and similar repositories for BNS-GCN
Users that are interested in BNS-GCN are comparing it to the libraries listed below
Sorting:
- [ICLR 2022] "PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication" by Cheng Wan, Y…☆33Updated 2 years ago
- The official SALIENT system described in the paper "Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and P…☆40Updated 2 years ago
- ☆49Updated 9 months ago
- Artifact for PPoPP20 "Understanding and Bridging the Gaps in Current GNN Performance Optimizations"☆40Updated 4 years ago
- ☆112Updated 4 years ago
- Artifact for OSDI'21 GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs.☆70Updated 2 years ago
- Artifact for OSDI'23: MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel Communication-Computation Pipelining on Mult…☆41Updated last year
- Distributed Multi-GPU GNN Framework☆36Updated 5 years ago
- ☆47Updated 3 years ago
- Graphiler is a compiler stack built on top of DGL and TorchScript which compiles GNNs defined using user-defined functions (UDFs) into ef…☆59Updated 3 years ago
- A Framework for Graph Sampling and Random Walk on GPUs.☆38Updated 11 months ago
- SoCC'20 and TPDS'21: Scaling GNN Training on Large Graphs via Computation-aware Caching and Partitioning.☆51Updated 2 years ago
- ☆12Updated 3 years ago
- Distributed Deep Graph Learning Framework for Dynamic Graphs☆18Updated last year
- Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching☆41Updated last year
- A reading list for deep graph learning acceleration.☆254Updated 6 months ago
- Artifact for USENIX ATC'23: TC-GNN: Bridging Sparse GNN Computation and Dense Tensor Cores on GPUs.☆53Updated 2 years ago
- ☆11Updated 3 years ago
- Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture (accepted by PVLDB)☆44Updated 2 years ago
- A list of awesome GNN systems.☆333Updated this week
- ☆70Updated 4 years ago
- Graph Sampling using GPU☆52Updated 3 years ago
- A Factored System for Sample-based GNN Training over GPUs☆46Updated 2 years ago
- ☆16Updated last year
- G3: A Programmable GNN Training System on GPU☆43Updated 5 years ago
- Open source code of BGL NSDI 2023☆18Updated 2 years ago
- Artifact for PPoPP22 QGTC: Accelerating Quantized GNN via GPU Tensor Core.☆30Updated 3 years ago
- Set of datasets for the deep learning recommendation model (DLRM).☆48Updated 3 years ago
- ☆12Updated 2 years ago
- [Mlsys'22] Understanding gnn computational graph: A coordinated computation, io, and memory perspective☆22Updated 2 years ago