MITIBMxGraph / SALIENTLinks
The official SALIENT system described in the paper "Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining".
☆40Updated 2 years ago
Alternatives and similar repositories for SALIENT
Users that are interested in SALIENT are comparing it to the libraries listed below
Sorting:
- ☆49Updated 9 months ago
- [MLSys 2022] "BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node …☆56Updated 2 years ago
- Distributed Multi-GPU GNN Framework☆36Updated 5 years ago
- Artifact for PPoPP20 "Understanding and Bridging the Gaps in Current GNN Performance Optimizations"☆40Updated 4 years ago
- SoCC'20 and TPDS'21: Scaling GNN Training on Large Graphs via Computation-aware Caching and Partitioning.☆51Updated 2 years ago
- A Framework for Graph Sampling and Random Walk on GPUs.☆38Updated 11 months ago
- Artifact for OSDI'21 GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs.☆70Updated 2 years ago
- Artifact evaluation of the paper "Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining"☆23Updated 3 years ago
- ☆12Updated 3 years ago
- [ICLR 2022] "PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication" by Cheng Wan, Y…☆33Updated 2 years ago
- Graph Sampling using GPU☆52Updated 3 years ago
- ☆47Updated 3 years ago
- ☆112Updated 4 years ago
- Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching☆41Updated last year
- ☆48Updated 3 years ago
- A reading list for deep graph learning acceleration.☆255Updated 5 months ago
- G3: A Programmable GNN Training System on GPU☆43Updated 5 years ago
- ☆70Updated 4 years ago
- Artifact for OSDI'23: MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel Communication-Computation Pipelining on Mult…☆41Updated last year
- Large scale graph learning on a single machine.☆167Updated 10 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…☆59Updated 3 years ago
- Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture (accepted by PVLDB)☆44Updated 2 years ago
- A Factored System for Sample-based GNN Training over GPUs☆45Updated 2 years ago
- A list of awesome GNN systems.☆333Updated this week
- ☆16Updated last year
- ☆11Updated 3 years ago
- Papers on Graph Analytics, Mining, and Learning☆126Updated 3 years ago
- ☆28Updated last year
- ☆12Updated 2 years ago
- ☆41Updated 7 months ago