wpybtw / SkywalkerLinks
☆12Updated 2 years ago
Alternatives and similar repositories for Skywalker
Users that are interested in Skywalker are comparing it to the libraries listed below
Sorting:
- FlashMob is a shared-memory random walk system.☆32Updated 2 years ago
- Graph Sampling using GPU☆52Updated 3 years ago
- A pattern-based algorithmic autotuner for graph processing on GPUs.☆32Updated 7 months ago
- ☆28Updated last year
- ☆31Updated 5 years ago
- ☆48Updated 3 years ago
- Artifact for OSDI'21 GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs.☆70Updated 2 years ago
- Transforming Graphs for Efficient Irregular Graph Processing on GPUs☆51Updated 3 years ago
- ☆41Updated 7 months ago
- ☆42Updated 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
- SoCC'20 and TPDS'21: Scaling GNN Training on Large Graphs via Computation-aware Caching and Partitioning.☆51Updated 2 years ago
- Distributed Multi-GPU GNN Framework☆36Updated 5 years ago
- A Factored System for Sample-based GNN Training over GPUs☆46Updated 2 years ago
- Out-of-GPU-Memory Graph Processing with Minimal Data Transfer☆57Updated 3 years ago
- Artifact for PPoPP20 "Understanding and Bridging the Gaps in Current GNN Performance Optimizations"☆40Updated 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
- SIMD-X: Programming and Processing of Graph Algorithms on GPUs [USENIX ATC '19]☆22Updated 5 years ago
- Graph Pattern Mining☆94Updated last year
- A graph pattern mining framework for large graphs on gpu.☆15Updated last year
- A Framework for Graph Sampling and Random Walk on GPUs.☆38Updated 11 months ago
- Artifact evaluation of the paper "Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining"☆23Updated 3 years ago
- ☆23Updated 2 years ago
- Artifact for PPoPP22 QGTC: Accelerating Quantized GNN via GPU Tensor Core.☆30Updated 3 years ago
- ☆13Updated 5 years ago
- ☆19Updated 5 years ago
- ☆12Updated 2 years ago
- ☆36Updated last year
- Source code for the paper: Accelerating Dynamic Graph Analytics on GPUs☆28Updated 2 years ago
- An efficient storage system for concurrent graph processing☆10Updated 5 years ago