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
- An efficient storage system for concurrent graph processing☆10Updated 4 years ago
- ☆42Updated 4 years ago
- Source code for the evaluated benchmarks and proposed cache management technique, GRASP, in [Faldu et al., HPCA'20].☆18Updated 5 years ago
- Papers on Graph Analytics, Mining, and Learning☆126Updated 3 years ago
- Transforming Graphs for Efficient Irregular Graph Processing on GPUs☆51Updated 3 years ago
- ☆48Updated 3 years ago
- Out-of-GPU-Memory Graph Processing with Minimal Data Transfer☆58Updated 3 years ago
- ☆31Updated 5 years ago
- Artifact for PPoPP20 "Understanding and Bridging the Gaps in Current GNN Performance Optimizations"☆40Updated 4 years ago
- PyGim is the first runtime framework to efficiently execute Graph Neural Networks (GNNs) on real Processing-in-Memory systems. It provide…☆32Updated 8 months ago
- ☆20Updated 3 years ago
- This code base represents "faimGraph: High Performance Management of Fully-dynamic Graphs under tight Memory Constraints on the GPU"☆14Updated 4 years ago
- Artifact for OSDI'21 GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs.☆70Updated 2 years ago
- A Comprehensive Benchmark Suite for Graph Computing☆70Updated 6 years ago
- Graph Sampling using GPU☆52Updated 3 years ago
- Software and Hardware Characterization of Streaming Graph Analytics Workloads☆14Updated 3 years ago
- This is a processing-in-memory simulator which models 3D-stacked memory within gem5. Also includes the workloads used for IMPICA (In-Memo…☆48Updated 8 years ago
- FlashMob is a shared-memory random walk system.☆32Updated 2 years ago
- A pattern-based algorithmic autotuner for graph processing on GPUs.☆31Updated 6 months ago
- GARDENIA: Graph Analytics Repository for Designing Efficient Next-generation Accelerators☆34Updated 3 years ago
- A Framework for Graph Sampling and Random Walk on GPUs.☆38Updated 11 months ago
- Artifact for USENIX ATC'23: TC-GNN: Bridging Sparse GNN Computation and Dense Tensor Cores on GPUs.☆52Updated 2 years ago
- ☆24Updated 2 years ago
- ☆21Updated 5 years ago
- A platform to evaluate techniques used in multicore graph processing.☆37Updated 7 years ago
- ☆39Updated 6 years ago
- SoCC'20 and TPDS'21: Scaling GNN Training on Large Graphs via Computation-aware Caching and Partitioning.☆51Updated 2 years ago
- Graph accelerator on FPGAs and ASICs☆11Updated 7 years ago
- Source code for the paper: Accelerating Dynamic Graph Analytics on GPUs☆28Updated 2 years ago