Alternatives and similar repositories for fgnn-artifacts

Users that are interested in fgnn-artifacts are comparing it to the libraries listed below

• SJTU-IPADS / gnnlab
  A Factored System for Sample-based GNN Training over GPUs
  ☆42Updated last year
• raywan-110 / AdaQP
  Adaptive Message Quantization and Parallelization for Distributed Full-graph GNN Training
  ☆24Updated last year
• gsampler9 / gSampler
  ☆27Updated 9 months ago
• uclasystem / dorylus
  Dorylus: Affordable, Scalable, and Accurate GNN Training
  ☆76Updated 4 years ago
• YukeWang96 / GNNAdvisor_OSDI21
  Artifact for OSDI'21 GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs.
  ☆66Updated 2 years ago
• concept-inversion / C-SAW
  A Framework for Graph Sampling and Random Walk on GPUs.
  ☆39Updated 3 months ago
• YukeWang96 / MGG_OSDI23
  Artifact for OSDI'23: MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel Communication-Computation Pipelining on Mult…
  ☆40Updated last year
• xiezhq-hermann / graphiler
  Graphiler is a compiler stack built on top of DGL and TorchScript which compiles GNNs defined using user-defined functions (UDFs) into ef…
  ☆61Updated 2 years ago
• Raphael-Hao / brainstorm
  Compiler for Dynamic Neural Networks
  ☆46Updated last year
• jiazhihao / ROC
  Distributed Multi-GPU GNN Framework
  ☆37Updated 4 years ago
• SJTU-IPADS / ugache
  ☆22Updated last year
• SNU-ARC / Ginex
  Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching
  ☆38Updated 10 months ago
• jasperzhong / read-papers-and-code
  My paper/code reading notes in Chinese
  ☆46Updated last year
• plasma-umass / NextDoor
  Graph Sampling using GPU
  ☆52Updated 3 years ago
• chenzhao / light-dist-gnn
  ☆46Updated 2 years ago
• SJTU-IPADS / disb
  DISB is a new DNN inference serving benchmark with diverse workloads and models, as well as real-world traces.
  ☆52Updated 9 months ago
• jeongminpark417 / GIDS
  ☆33Updated last week
• MITIBMxGraph / SALIENT_artifact
  Artifact evaluation of the paper "Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining"
  ☆23Updated 3 years ago
• rkhan055 / SHADE
  SHADE: Enable Fundamental Cacheability for Distributed Deep Learning Training
  ☆33Updated 2 years ago
• pkusys / ElasticFlow
  Artifacts for our ASPLOS'23 paper ElasticFlow
  ☆51Updated last year
• zhiqi-0 / PaGraph
  SoCC'20 and TPDS'21: Scaling GNN Training on Large Graphs via Computation-aware Caching and Partitioning.
  ☆50Updated 2 years ago
• flashmobwalk / flashmob
  FlashMob is a shared-memory random walk system.
  ☆32Updated last year
• uclasystem / bamboo
  Bamboo is a system for running large pipeline-parallel DNNs affordably, reliably, and efficiently using spot instances.
  ☆50Updated 2 years ago
• msr-fiddle / CheckFreq
  ☆53Updated 4 years ago
• ustcadsl / GraphWalker
  ☆18Updated 4 years ago
• SJTU-IPADS / reef-artifacts
  A GPU-accelerated DNN inference serving system that supports instant kernel preemption and biased concurrent execution in GPU scheduling.
  ☆42Updated 3 years ago
• csl-iisc / GPM-ASPLOS22
  ☆34Updated 11 months ago
• xxcclong / GNN-Computing
  Artifact for PPoPP20 "Understanding and Bridging the Gaps in Current GNN Performance Optimizations"
  ☆38Updated 3 years ago
• guessmewho233 / CoGNN_info_for_SC22
  ☆8Updated 3 years ago
• quiver-team / quiver-feature
  High performance RDMA-based distributed feature collection component for training GNN model on EXTREMELY large graph
  ☆54Updated 2 years ago