a1bc2def6g / fastgl-ae
☆13Updated 9 months ago
Alternatives and similar repositories for fastgl-ae:
Users that are interested in fastgl-ae are comparing it to the libraries listed below
- [MLSys 2022] "BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node …☆54Updated 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…☆32Updated 2 years ago
- SoCC'20 and TPDS'21: Scaling GNN Training on Large Graphs via Computation-aware Caching and Partitioning.☆50Updated last year
- Artifact for OSDI'23: MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel Communication-Computation Pipelining on Mult…☆42Updated last year
- ☆45Updated last week
- ☆46Updated 2 years ago
- The official SALIENT system described in the paper "Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and P…☆38Updated last year
- ☆12Updated 2 years ago
- Largest realworld open-source graph dataset - Worked done under IBM-Illinois Discovery Accelerator Institute and Amazon Research Awards a…☆79Updated 3 months ago
- ☆12Updated last year
- ☆36Updated 9 months ago
- ☆27Updated 7 months ago
- ☆11Updated 2 years ago
- Distributed Multi-GPU GNN Framework☆37Updated 4 years ago
- Artifact for OSDI'21 GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs.☆65Updated 2 years ago
- Artifact for PPoPP20 "Understanding and Bridging the Gaps in Current GNN Performance Optimizations"☆39Updated 3 years ago
- Artifact for USENIX ATC'23: TC-GNN: Bridging Sparse GNN Computation and Dense Tensor Cores on GPUs.☆46Updated last year
- Distributed Deep Graph Learning Framework for Dynamic Graphs☆12Updated last year
- Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching☆37Updated 8 months ago
- [HPCA 2022] GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design☆36Updated 2 years ago
- A Framework for Graph Sampling and Random Walk on GPUs.☆39Updated last month
- 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
- ☆31Updated 9 months ago
- Graph Sampling using GPU☆51Updated 3 years ago
- ☆10Updated last year
- Artifact evaluation of the paper "Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining"☆25Updated 3 years ago
- A Factored System for Sample-based GNN Training over GPUs☆42Updated last year
- [Mlsys'22] Understanding gnn computational graph: A coordinated computation, io, and memory perspective☆18Updated last year
- ☆107Updated 3 years ago