flashmobwalk / flashmobLinks
FlashMob is a shared-memory random walk system.
☆32Updated 2 years ago
Alternatives and similar repositories for flashmob
Users that are interested in flashmob are comparing it to the libraries listed below
Sorting:
- Graph Sampling using GPU☆52Updated 3 years ago
- ☆28Updated last year
- SoCC'20 and TPDS'21: Scaling GNN Training on Large Graphs via Computation-aware Caching and Partitioning.☆51Updated 2 years ago
- ☆41Updated 6 months ago
- ☆42Updated 4 years ago
- ☆31Updated 5 years ago
- Transforming Graphs for Efficient Irregular Graph Processing on GPUs☆51Updated 3 years ago
- Graphene: Fine-Grained IO Management for Graph Computing. FAST'17☆20Updated 8 years ago
- ☆39Updated 6 years ago
- ☆12Updated 2 years ago
- ☆19Updated 5 years ago
- A Framework for Graph Sampling and Random Walk on GPUs.☆38Updated 10 months ago
- An efficient storage system for concurrent graph processing☆10Updated 4 years ago
- RisGraph: A Real-Time Streaming System for Evolving Graphs to Support Sub-millisecond Per-update Analysis at Millions Ops/s☆36Updated 3 years ago
- Out-of-GPU-Memory Graph Processing with Minimal Data Transfer☆58Updated 3 years ago
- Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching☆41Updated last year
- A Factored System for Sample-based GNN Training over GPUs☆44Updated 2 years ago
- Graph Pattern Mining☆93Updated last year
- ☆47Updated 3 years ago
- Distributed Multi-GPU GNN Framework☆36Updated 5 years ago
- Source code of "ThunderRW: An In-Memory Graph Random Walk Engine" published in VLDB'2021 - By Shixuan Sun, Yuhang Chen, Shengliang Lu, Bi…☆27Updated 4 years ago
- Artifact for OSDI'21 GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs.☆69Updated 2 years ago
- A platform to evaluate techniques used in multicore graph processing.☆37Updated 7 years ago
- Papers on Graph Analytics, Mining, and Learning☆127Updated 3 years ago
- A graph pattern mining framework for large graphs on gpu.☆15Updated last year
- ☆34Updated last year
- ☆12Updated 2 years ago
- Artifact evaluation of the paper "Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining"☆23Updated 3 years ago
- Dorylus: Affordable, Scalable, and Accurate GNN Training☆76Updated 4 years ago
- ☆13Updated 4 years ago