guessmewho233 / CoGNN_info_for_SC22

Related projects ⓘ

Alternatives and complementary repositories for CoGNN_info_for_SC22

• YukeWang96 / MGG_OSDI23
  Artifact for OSDI'23: MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel Communication-Computation Pipelining on Mult…
  ☆37Updated 8 months ago
• YukeWang96 / QGTC_PPoPP22
  Artifact for PPoPP22 QGTC: Accelerating Quantized GNN via GPU Tensor Core.
  ☆27Updated 2 years ago
• jeongminpark417 / GIDS
  ☆26Updated 5 months ago
• PASAUCMerced / Betty
  ☆10Updated last year
• zhiqi-0 / PaGraph
  SoCC'20 and TPDS'21: Scaling GNN Training on Large Graphs via Computation-aware Caching and Partitioning.
  ☆48Updated last year
• SJTU-IPADS / ugache
  ☆23Updated last year
• SNU-ARC / Ginex
  Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching
  ☆36Updated 4 months ago
• YukeWang96 / GNNAdvisor_OSDI21
  Artifact for OSDI'21 GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs.
  ☆63Updated last year
• SJTU-IPADS / gnnlab
  A Factored System for Sample-based GNN Training over GPUs
  ☆42Updated last year
• gsampler9 / gSampler
  ☆27Updated 3 months ago
• MITIBMxGraph / SALIENT_artifact
  Artifact evaluation of the paper "Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining"
  ☆24Updated 2 years ago
• jiazhihao / ROC
  Distributed Multi-GPU GNN Framework
  ☆36Updated 4 years ago
• wpybtw / Skywalker
  ☆10Updated 11 months ago
• platformxlab / G10
  ☆32Updated last year
• Raphael-Hao / Abacus
  ☆37Updated 3 years ago
• Ash-Zheng / SC_artifacts_eval
  SC'22 Artifacts Evaluation
  ☆9Updated 2 years ago
• mlsysAE2022 / ae_mlsys_gnn
  ☆9Updated 2 years ago
• RC4ML / Legion
  GPU-initiated Large-scale GNN System
  ☆15Updated 3 weeks ago
• LLMServe / dLoRA-artifact
  ☆14Updated 5 months ago
• Raphael-Hao / brainstorm
  Compiler for Dynamic Neural Networks
  ☆43Updated last year
• uclasystem / dorylus
  Dorylus: Affordable, Scalable, and Accurate GNN Training
  ☆77Updated 3 years ago
• SJTU-IPADS / reef
  REEF is a GPU-accelerated DNN inference serving system that enables instant kernel preemption and biased concurrent execution in GPU sche…
  ☆85Updated last year
• plasma-umass / NextDoor
  Graph Sampling using GPU
  ☆51Updated 2 years ago
• czkkkkkk / gccl
  ☆14Updated 3 years ago
• SJTU-IPADS / fgnn-artifacts
  FGNN's artifact evaluation (EuroSys 2022)
  ☆17Updated 2 years ago
• GATECH-EIC / PipeGCN
  [ICLR 2022] "PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication" by Cheng Wan, Y…
  ☆31Updated last year
• illinois-impact / EMOGI
  ☆20Updated 3 years ago
• casys-kaist / glet
  ☆41Updated last year
• raywan-110 / AdaQP
  Adaptive Message Quantization and Parallelization for Distributed Full-graph GNN Training
  ☆20Updated 8 months ago
• casys-kaist / HUVM
  ☆23Updated 2 years ago