plasma-umass / NextDoor

Related projects ⓘ

Alternatives and complementary repositories for NextDoor

• SJTU-IPADS / gnnlab
  A Factored System for Sample-based GNN Training over GPUs
  ☆42Updated last year
• jiazhihao / ROC
  Distributed Multi-GPU GNN Framework
  ☆36Updated 4 years ago
• zhiqi-0 / PaGraph
  SoCC'20 and TPDS'21: Scaling GNN Training on Large Graphs via Computation-aware Caching and Partitioning.
  ☆48Updated last year
• AutomataLab / Subway
  Out-of-GPU-Memory Graph Processing with Minimal Data Transfer
  ☆51Updated 2 years 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
• YukeWang96 / GNNAdvisor_OSDI21
  Artifact for OSDI'21 GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs.
  ☆63Updated last year
• flashmobwalk / flashmob
  FlashMob is a shared-memory random walk system.
  ☆31Updated last year
• jeongminpark417 / GIDS
  ☆26Updated 5 months ago
• concept-inversion / C-SAW
  A Framework for Graph Sampling and Random Walk on GPUs.
  ☆38Updated 2 years ago
• wpybtw / Skywalker
  ☆10Updated 11 months ago
• araij / rabbit_order
  ☆44Updated 2 years ago
• uclasystem / dorylus
  Dorylus: Affordable, Scalable, and Accurate GNN Training
  ☆77Updated 3 years ago
• SJTU-IPADS / fgnn-artifacts
  FGNN's artifact evaluation (EuroSys 2022)
  ☆17Updated 2 years ago
• 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
• ustcadsl / GraphWalker
  ☆18Updated 4 years ago
• 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
• xxcclong / GNN-Computing
  Artifact for PPoPP20 "Understanding and Bridging the Gaps in Current GNN Performance Optimizations"
  ☆39Updated 3 years ago
• gsampler9 / gSampler
  ☆27Updated 3 months ago
• guessmewho233 / CoGNN_info_for_SC22
  ☆8Updated 2 years ago
• YukeWang96 / QGTC_PPoPP22
  Artifact for PPoPP22 QGTC: Accelerating Quantized GNN via GPU Tensor Core.
  ☆27Updated 2 years ago
• 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…
  ☆60Updated 2 years ago
• PASAUCMerced / Betty
  ☆10Updated last year
• 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
• thu-pacman / GraphPi
  ☆37Updated 3 years ago
• AutomataLab / Tigr
  Transforming Graphs for Efficient Irregular Graph Processing on GPUs
  ☆47Updated 2 years ago
• guowentian / SubgraphMatchGPU
  ☆28Updated 4 years ago
• PAA-NCIC / GSWITCH
  A pattern-based algorithmic autotuner for graph processing on GPUs.
  ☆30Updated last year
• YukeWang96 / TC-GNN_ATC23
  Artifact for USENIX ATC'23: TC-GNN: Bridging Sparse GNN Computation and Dense Tensor Cores on GPUs.
  ☆45Updated last year
• czkkkkkk / gccl
  ☆14Updated 3 years ago
• SJTU-IPADS / ugache
  ☆23Updated last year