jeongminpark417 / GIDSLinks
☆38Updated 3 months ago
Alternatives and similar repositories for GIDS
Users that are interested in GIDS are comparing it to the libraries listed below
Sorting:
- Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching☆39Updated last year
- SoCC'20 and TPDS'21: Scaling GNN Training on Large Graphs via Computation-aware Caching and Partitioning.☆50Updated 2 years ago
- A Factored System for Sample-based GNN Training over GPUs☆43Updated 2 years ago
- ☆28Updated last year
- ☆40Updated 2 years ago
- Distributed Multi-GPU GNN Framework☆36Updated 5 years ago
- Artifact for OSDI'21 GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs.☆66Updated 2 years ago
- FlashMob is a shared-memory random walk system.☆32Updated 2 years ago
- ☆31Updated last year
- Artifact for OSDI'23: MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel Communication-Computation Pipelining on Mult…☆41Updated last year
- Graph Sampling using GPU☆52Updated 3 years ago
- ☆72Updated 2 years ago
- ☆185Updated last month
- GPU-initiated Large-scale GNN System [ATC 23]☆19Updated 11 months ago
- ☆10Updated last year
- ☆22Updated 4 years ago
- ☆23Updated last year
- ☆36Updated last year
- Dorylus: Affordable, Scalable, and Accurate GNN Training☆76Updated 4 years ago
- ☆12Updated 2 years ago
- ☆31Updated 4 years ago
- ☆40Updated 3 years ago
- ☆47Updated 3 years ago
- Artifact for PPoPP20 "Understanding and Bridging the Gaps in Current GNN Performance Optimizations"☆39Updated 3 years ago
- Cost-efficient Out-of-core GNN Training System on TB-scale Graph [ICDE 25]☆15Updated 8 months ago
- [ICLR 2022] "PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication" by Cheng Wan, Y…☆33Updated 2 years ago
- SHADE: Enable Fundamental Cacheability for Distributed Deep Learning Training☆35Updated 2 years ago
- Out-of-GPU-Memory Graph Processing with Minimal Data Transfer☆57Updated 2 years ago
- Artifact for USENIX ATC'23: TC-GNN: Bridging Sparse GNN Computation and Dense Tensor Cores on GPUs.☆50Updated last year
- An efficient storage system for concurrent graph processing☆10Updated 4 years ago