czkkkkkk / gcclLinks
☆13Updated 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
- Artifact for OSDI'23: MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel Communication-Computation Pipelining on Mult…☆40Updated last year
- ☆19Updated 5 years ago
- A Factored System for Sample-based GNN Training over GPUs☆44Updated 2 years ago
- Graph Sampling using GPU☆52Updated 3 years ago
- Artifact for OSDI'21 GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs.☆68Updated 2 years ago
- SoCC'20 and TPDS'21: Scaling GNN Training on Large Graphs via Computation-aware Caching and Partitioning.☆51Updated 2 years ago
- ☆41Updated 5 months 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☆42Updated last year
- PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications☆126Updated 3 years ago
- ☆28Updated last year
- FlashMob is a shared-memory random walk system.☆32Updated 2 years ago
- Artifact for PPoPP20 "Understanding and Bridging the Gaps in Current GNN Performance Optimizations"☆40Updated 4 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
- ☆23Updated 2 years ago
- ☆12Updated last year
- ☆38Updated 5 months ago
- Artifact for PPoPP22 QGTC: Accelerating Quantized GNN via GPU Tensor Core.☆30Updated 3 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 3 years ago
- FGNN's artifact evaluation (EuroSys 2022)☆17Updated 3 years ago
- ☆36Updated last year
- Artifact evaluation of the paper "Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining"☆23Updated 3 years ago
- AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving (OSDI 23)☆91Updated 2 years ago
- ☆47Updated 3 years ago
- Bamboo is a system for running large pipeline-parallel DNNs affordably, reliably, and efficiently using spot instances.☆54Updated 2 years ago
- Artifacts for our ASPLOS'23 paper ElasticFlow☆55Updated last year
- A pattern-based algorithmic autotuner for graph processing on GPUs.☆31Updated 5 months ago
- ☆24Updated 3 years ago
- Transforming Graphs for Efficient Irregular Graph Processing on GPUs☆51Updated 3 years ago