Alternatives and similar repositories for Accelerating-RecSys-Training

Users that are interested in Accelerating-RecSys-Training are comparing it to the libraries listed below

• facebookresearch / dlrm_datasets
  Set of datasets for the deep learning recommendation model (DLRM).
  ☆47Updated 2 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
• 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
• hgyhungry / ge-spmm
  ☆109Updated 4 years ago
• YukeWang96 / QGTC_PPoPP22
  Artifact for PPoPP22 QGTC: Accelerating Quantized GNN via GPU Tensor Core.
  ☆30Updated 3 years ago
• jiazhihao / ROC
  Distributed Multi-GPU GNN Framework
  ☆36Updated 5 years ago
• ucare-uchicago / ev-store-dlrm
  ☆30Updated last year
• YukeWang96 / GNNAdvisor_OSDI21
  Artifact for OSDI'21 GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs.
  ☆66Updated 2 years ago
• xxcclong / GNN-Computing
  Artifact for PPoPP20 "Understanding and Bridging the Gaps in Current GNN Performance Optimizations"
  ☆39Updated 3 years 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
• jeongminpark417 / GIDS
  ☆36Updated 2 months ago
• araij / rabbit_order
  ☆46Updated 2 years ago
• harvard-acc / DeepRecSys
  http://vlsiarch.eecs.harvard.edu/research/recommendation/
  ☆136Updated 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…
  ☆33Updated 2 years ago
• MITIBMxGraph / SALIENT
  The official SALIENT system described in the paper "Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and P…
  ☆40Updated 2 years ago
• dgSPARSE / dgNN
  [Mlsys'22] Understanding gnn computational graph: A coordinated computation, io, and memory perspective
  ☆20Updated 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…
  ☆59Updated 2 years ago
• plasma-umass / NextDoor
  Graph Sampling using GPU
  ☆52Updated 3 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
• 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
• PASAUCMerced / Betty
  ☆11Updated 2 years ago
• SJTU-IPADS / gnnlab
  A Factored System for Sample-based GNN Training over GPUs
  ☆43Updated 2 years ago
• chenxuhao / GraphMiner
  Graph Pattern Mining
  ☆90Updated 11 months ago
• guowentian / SubgraphMatchGPU
  ☆31Updated 4 years ago
• SJTU-IPADS / ugache
  ☆22Updated last year
• flashmobwalk / flashmob
  FlashMob is a shared-memory random walk system.
  ☆32Updated 2 years ago
• concept-inversion / C-SAW
  A Framework for Graph Sampling and Random Walk on GPUs.
  ☆38Updated 6 months ago
• SJTU-IPADS / fgnn-artifacts
  FGNN's artifact evaluation (EuroSys 2022)
  ☆17Updated 3 years ago
• thu-pacman / GraphPi
  ☆40Updated 3 years ago
• gsampler9 / gSampler
  ☆27Updated last year