chenxuhao / GraphAIBenchLinks
A benchmark suite for Graph Machine Learning
☆19Updated last year
Alternatives and similar repositories for GraphAIBench
Users that are interested in GraphAIBench are comparing it to the libraries listed below
Sorting:
- Graph Pattern Mining☆93Updated last year
- Transforming Graphs for Efficient Irregular Graph Processing on GPUs☆51Updated 3 years ago
- ☆47Updated 3 years ago
- Out-of-GPU-Memory Graph Processing with Minimal Data Transfer☆58Updated 3 years ago
- Source code for the evaluated benchmarks and proposed cache management technique, GRASP, in [Faldu et al., HPCA'20].☆18Updated 5 years ago
- An efficient storage system for concurrent graph processing☆10Updated 4 years ago
- ☆31Updated 5 years ago
- ☆41Updated 4 years ago
- Graph Sampling using GPU☆52Updated 3 years ago
- A Framework for Graph Sampling and Random Walk on GPUs.☆38Updated 10 months ago
- ☆41Updated 6 months ago
- Artifact for PPoPP20 "Understanding and Bridging the Gaps in Current GNN Performance Optimizations"☆40Updated 4 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.☆69Updated 2 years ago
- Papers on Graph Analytics, Mining, and Learning☆127Updated 3 years ago
- A pattern-based algorithmic autotuner for graph processing on GPUs.☆31Updated 5 months ago
- Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching☆41Updated last year
- FlashMob is a shared-memory random walk system.☆32Updated 2 years ago
- SoCC'20 and TPDS'21: Scaling GNN Training on Large Graphs via Computation-aware Caching and Partitioning.☆51Updated 2 years ago
- This code base represents "faimGraph: High Performance Management of Fully-dynamic Graphs under tight Memory Constraints on the GPU"☆13Updated 4 years ago
- A Comprehensive Benchmark Suite for Graph Computing☆70Updated 6 years ago
- ☆39Updated 6 years ago
- GARDENIA: Graph Analytics Repository for Designing Efficient Next-generation Accelerators☆34Updated 3 years ago
- ☆12Updated 2 years ago
- ☆19Updated 5 years ago
- A Skew-Resistant Index for Processing-in-Memory☆26Updated last year
- [ICLR 2022] "PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication" by Cheng Wan, Y…☆33Updated 2 years ago
- ☆28Updated last year
- SIMD-X: Programming and Processing of Graph Algorithms on GPUs [USENIX ATC '19]☆22Updated 5 years ago
- ☆17Updated 5 years ago