Alternatives and similar repositories for Graph-Reordering-IISWC18:

Users that are interested in Graph-Reordering-IISWC18 are comparing it to the libraries listed below

• YukeWang96 / MGG_OSDI23
  Artifact for OSDI'23: MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel Communication-Computation Pipelining on Mult…
  ☆39Updated 11 months ago
• GATECH-EIC / GCoD
  [HPCA 2022] GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design
  ☆35Updated 2 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…
  ☆61Updated 2 years ago
• YukeWang96 / GNNAdvisor_OSDI21
  Artifact for OSDI'21 GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs.
  ☆64Updated last year
• jiazhihao / ROC
  Distributed Multi-GPU GNN Framework
  ☆36Updated 4 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 7 months ago
• apuaaChen / gcnLib
  ☆10Updated 3 years ago
• concept-inversion / C-SAW
  A Framework for Graph Sampling and Random Walk on GPUs.
  ☆39Updated 2 weeks ago
• YukeWang96 / QGTC_PPoPP22
  Artifact for PPoPP22 QGTC: Accelerating Quantized GNN via GPU Tensor Core.
  ☆27Updated 3 years ago
• PASSIONLab / CAGNET
  ☆43Updated 3 weeks 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
• zjjzby / GNN-hardware-acceleration-paper
  This repo is to collect the state-of-the-art GNN hardware acceleration paper
  ☆54Updated 3 years ago
• abhijangda / nextdoor-experiments
  ☆12Updated 2 years ago
• jeongminpark417 / GIDS
  ☆30Updated 8 months ago
• 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 4 years ago
• araij / rabbit_order
  ☆45Updated 2 years ago
• faldupriyank / dbg
  Source code for the graph reordering technique, DBG, published in [Faldu et al., IISWC'19].
  ☆7Updated 5 years ago
• plasma-umass / NextDoor
  Graph Sampling using GPU
  ☆51Updated 2 years ago
• zhiqi-0 / PaGraph
  SoCC'20 and TPDS'21: Scaling GNN Training on Large Graphs via Computation-aware Caching and Partitioning.
  ☆50Updated last year
• 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
• uwsampl / sparsetir-artifact
  Repository for artifact evaluation of ASPLOS 2023 paper "SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning"
  ☆24Updated last year
• SJTU-IPADS / gnnlab
  A Factored System for Sample-based GNN Training over GPUs
  ☆42Updated last year
• leesou / PIM-DL-ASPLOS
  PIM-DL: Expanding the Applicability of Commodity DRAM-PIMs for Deep Learning via Algorithm-System Co-Optimization
  ☆28Updated last year
• HipGraph / FusedMM
  Implementation of FusedMM method for IPDPS 2021 paper titled "FusedMM: A Unified SDDMM-SpMM Kernel for Graph Embedding and Graph Neural N…
  ☆30Updated 2 years ago
• amazon-science / FeatGraph
  ☆73Updated 3 years ago
• Xtra-Computing / ReGraph
  Scaling Graph Processing on HBM-enabled FPGAs with Heterogeneous Pipelines
  ☆17Updated 2 years ago
• qgwang-hust / GraSU
  A Fast Graph Update Library for FPGA-based Dynamic Graph Processing
  ☆8Updated 3 years ago