PASAUCMerced / BettyLinks
☆11Updated 2 years ago
Alternatives and similar repositories for Betty
Users that are interested in Betty 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.☆50Updated 2 years ago
- ☆27Updated 9 months ago
- ☆8Updated 3 years ago
- Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching☆38Updated 10 months ago
- A Factored System for Sample-based GNN Training over GPUs☆42Updated last year
- Distributed Multi-GPU GNN Framework☆37Updated 4 years ago
- ☆33Updated this week
- Artifact for OSDI'21 GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs.☆66Updated 2 years ago
- Artifact for OSDI'23: MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel Communication-Computation Pipelining on Mult…☆40Updated last year
- ☆9Updated 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
- ☆10Updated last year
- GPU-initiated Large-scale GNN System [ATC 23]☆18Updated 7 months ago
- Artifact for PPoPP22 QGTC: Accelerating Quantized GNN via GPU Tensor Core.☆28Updated 3 years ago
- Artifact evaluation of the paper "Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining"☆23Updated 3 years ago
- Graph Sampling using GPU☆52Updated 3 years ago
- Adaptive Message Quantization and Parallelization for Distributed Full-graph GNN Training☆24Updated last year
- Open source code of BGL NSDI 2023☆16Updated last year
- ☆22Updated last year
- ☆46Updated 2 years ago
- Artifact for PPoPP20 "Understanding and Bridging the Gaps in Current GNN Performance Optimizations"☆38Updated 3 years ago
- Artifact for USENIX ATC'23: TC-GNN: Bridging Sparse GNN Computation and Dense Tensor Cores on GPUs.☆47Updated last year
- ☆12Updated last year
- Dorylus: Affordable, Scalable, and Accurate GNN Training☆76Updated 4 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…☆61Updated 2 years ago
- FlashMob is a shared-memory random walk system.☆32Updated last year
- The official SALIENT system described in the paper "Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and P…☆40Updated last year
- ☆10Updated last year
- ☆40Updated 3 years ago
- ☆36Updated last year