czkkkkkk / gcclLinks
☆14Updated 4 years ago
Alternatives and similar repositories for gccl
Users that are interested in gccl are comparing it to the libraries listed below
Sorting:
- Dorylus: Affordable, Scalable, and Accurate GNN Training☆76Updated 4 years ago
- A Factored System for Sample-based GNN Training over GPUs☆43Updated 2 years ago
- Artifact for OSDI'23: MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel Communication-Computation Pipelining on Mult…☆41Updated last year
- ☆37Updated 3 months ago
- Artifact for OSDI'21 GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs.☆66Updated 2 years ago
- FlashMob is a shared-memory random walk system.☆32Updated 2 years ago
- ☆19Updated 5 years ago
- Graph Sampling using GPU☆52Updated 3 years ago
- ☆10Updated last year
- SoCC'20 and TPDS'21: Scaling GNN Training on Large Graphs via Computation-aware Caching and Partitioning.☆50Updated 2 years ago
- Distributed Multi-GPU GNN Framework☆36Updated 5 years ago
- Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching☆38Updated last year
- ☆28Updated last year
- Artifact evaluation of the paper "Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining"☆23Updated 3 years ago
- FGNN's artifact evaluation (EuroSys 2022)☆17Updated 3 years ago
- Artifact for PPoPP20 "Understanding and Bridging the Gaps in Current GNN Performance Optimizations"☆39Updated 3 years ago
- ☆36Updated last year
- ☆56Updated 4 years ago
- Graphiler is a compiler stack built on top of DGL and TorchScript which compiles GNNs defined using user-defined functions (UDFs) into ef…☆59Updated 2 years ago
- this is the release repository of superneurons☆53Updated 4 years ago
- A Framework for Graph Sampling and Random Walk on GPUs.☆38Updated 7 months ago
- ☆22Updated last year
- PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications☆127Updated 3 years ago
- ☆24Updated 3 years ago
- Out-of-GPU-Memory Graph Processing with Minimal Data Transfer☆56Updated 2 years ago
- Transforming Graphs for Efficient Irregular Graph Processing on GPUs☆48Updated 2 years ago
- A GPU-accelerated DNN inference serving system that supports instant kernel preemption and biased concurrent execution in GPU scheduling.☆43Updated 3 years ago
- ☆10Updated last year
- Bamboo is a system for running large pipeline-parallel DNNs affordably, reliably, and efficiently using spot instances.☆51Updated 2 years ago
- ☆15Updated 3 years ago