Alternatives and similar repositories for MGG_OSDI23

Users that are interested in MGG_OSDI23 are comparing it to the libraries listed below

• YukeWang96 / QGTC_PPoPP22
  Artifact for PPoPP22 QGTC: Accelerating Quantized GNN via GPU Tensor Core.
  ☆30Updated 3 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
• hgyhungry / ge-spmm
  ☆109Updated 4 years ago
• xxcclong / GNN-Computing
  Artifact for PPoPP20 "Understanding and Bridging the Gaps in Current GNN Performance Optimizations"
  ☆39Updated 3 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…
  ☆59Updated 2 years ago
• YukeWang96 / TC-GNN_ATC23
  Artifact for USENIX ATC'23: TC-GNN: Bridging Sparse GNN Computation and Dense Tensor Cores on GPUs.
  ☆49Updated last year
• jiazhihao / ROC
  Distributed Multi-GPU GNN Framework
  ☆36Updated 5 years ago
• zhiqi-0 / PaGraph
  SoCC'20 and TPDS'21: Scaling GNN Training on Large Graphs via Computation-aware Caching and Partitioning.
  ☆50Updated 2 years ago
• guessmewho233 / CoGNN_info_for_SC22
  ☆8Updated 3 years ago
• plasma-umass / NextDoor
  Graph Sampling using GPU
  ☆52Updated 3 years ago
• gsampler9 / gSampler
  ☆27Updated 11 months ago
• SNU-ARC / Ginex
  Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching
  ☆38Updated last year
• GATECH-EIC / PipeGCN
  [ICLR 2022] "PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication" by Cheng Wan, Y…
  ☆33Updated 2 years ago
• jeongminpark417 / GIDS
  ☆35Updated last month
• SJTU-IPADS / gnnlab
  A Factored System for Sample-based GNN Training over GPUs
  ☆42Updated 2 years ago
• mlsysAE2022 / ae_mlsys_gnn
  ☆10Updated 3 years ago
• ParCIS / Magicube
  Magicube is a high-performance library for quantized sparse matrix operations (SpMM and SDDMM) of deep learning on Tensor Cores.
  ☆89Updated 2 years ago
• parasailteam / coconet
  ☆80Updated 2 years ago
• SJTU-IPADS / fgnn-artifacts
  FGNN's artifact evaluation (EuroSys 2022)
  ☆17Updated 3 years ago
• uclasystem / dorylus
  Dorylus: Affordable, Scalable, and Accurate GNN Training
  ☆76Updated 4 years ago
• SJTU-IPADS / ugache
  ☆22Updated last year
• Raphael-Hao / brainstorm
  Compiler for Dynamic Neural Networks
  ☆46Updated last year
• CMUAbstract / Graph-Reordering-IISWC18
  Repo for the IISWC 2018 submission
  ☆9Updated 3 years ago
• araij / rabbit_order
  ☆46Updated 2 years ago
• hgyhungry / ShflBW_Sparse_NN
  ☆16Updated 2 years ago
• pku-liang / MAGIS
  MAGIS: Memory Optimization via Coordinated Graph Transformation and Scheduling for DNN (ASPLOS'24)
  ☆53Updated last year
• HPMLL / DTC-SpMM_ASPLOS24
  ☆33Updated last year
• amazon-science / FeatGraph
  ☆70Updated 4 years ago
• concept-inversion / C-SAW
  A Framework for Graph Sampling and Random Walk on GPUs.
  ☆38Updated 6 months ago
• apuaaChen / vectorSparse
  ☆32Updated 2 years ago