SNU-ARC / GinexLinks
Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching
☆41Updated last year
Alternatives and similar repositories for Ginex
Users that are interested in Ginex are comparing it to the libraries listed below
Sorting:
- SoCC'20 and TPDS'21: Scaling GNN Training on Large Graphs via Computation-aware Caching and Partitioning.☆51Updated 2 years ago
- ☆41Updated 7 months ago
- ☆28Updated last year
- Artifact for OSDI'21 GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs.☆70Updated 2 years ago
- Distributed Multi-GPU GNN Framework☆36Updated 5 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
- A Factored System for Sample-based GNN Training over GPUs☆45Updated 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
- ☆12Updated 2 years ago
- Graph Sampling using GPU☆52Updated 3 years ago
- Artifact for PPoPP20 "Understanding and Bridging the Gaps in Current GNN Performance Optimizations"☆40Updated 4 years ago
- FlashMob is a shared-memory random walk system.☆32Updated 2 years ago
- ☆12Updated 2 years ago
- ☆48Updated 3 years ago
- ☆31Updated 5 years ago
- Open source code of BGL NSDI 2023☆18Updated 2 years ago
- Out-of-GPU-Memory Graph Processing with Minimal Data Transfer☆57Updated 3 years ago
- ☆42Updated 4 years ago
- Artifact evaluation of the paper "Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining"☆23Updated 3 years ago
- Artifact for PPoPP22 QGTC: Accelerating Quantized GNN via GPU Tensor Core.☆30Updated 3 years ago
- Dorylus: Affordable, Scalable, and Accurate GNN Training☆76Updated 4 years ago
- Artifact for USENIX ATC'23: TC-GNN: Bridging Sparse GNN Computation and Dense Tensor Cores on GPUs.☆52Updated 2 years ago
- Accelerating Recommender model training by leveraging popular choices -- VLDB 2022☆31Updated last year
- Graph Pattern Mining☆93Updated last year
- A Framework for Graph Sampling and Random Walk on GPUs.☆38Updated 11 months ago
- ☆41Updated 2 years ago
- ☆19Updated 5 years ago
- FGNN's artifact evaluation (EuroSys 2022)☆18Updated 3 years ago
- SHADE: Enable Fundamental Cacheability for Distributed Deep Learning Training☆35Updated 2 years ago
- ☆49Updated 9 months ago