Alternatives and similar repositories for GraphACT

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

• jasonlin316 / GCN-Inference-Acceleration-HLS
  An end-to-end GCN inference accelerator written in HLS
  ☆18Updated 3 years ago
• GATECH-EIC / GCoD
  [HPCA 2022] GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design
  ☆39Updated 3 years ago
• Xtra-Computing / ReGraph
  Scaling Graph Processing on HBM-enabled FPGAs with Heterogeneous Pipelines
  ☆22Updated 3 years ago
• pgroupATusc / GraphACT
  Implementation of paper "GraphACT: Accelerating GCN Training on CPU-FPGA Heterogeneous Platform".
  ☆12Updated 5 years ago
• SZU-AdvTech-2022 / 376-HyGCN-A-GCN-Accelerator-with-Hybrid-Architecture
  ☆11Updated 2 years ago
• GraphSAINT / GNN-ARCH
  [ASAP 2020; FPGA 2020] Hardware architecture to accelerate GNNs (common IP modules for minibatch training and full batch inference)
  ☆43Updated 4 years ago
• zjjzby / GNN-hardware-acceleration-paper
  This repo is to collect the state-of-the-art GNN hardware acceleration paper
  ☆54Updated 4 years ago
• sharc-lab / DGNN-Booster
  ☆16Updated 2 years ago
• I-Doctor / gnn-acceleration-framework-with-FPGA
  including compiler to encode DGL GNN model to instructions, runtime software to transfer data and control the accelerator, and hardware v…
  ☆14Updated 2 years ago
• NeuraChip / neurachip
  NeuraChip Accelerator Simulator
  ☆15Updated last year
• cornell-zhang / GraphLily
  A graph linear algebra overlay
  ☆51Updated 2 years ago
• linghaosong / Serpens
  An HBM FPGA based SpMV Accelerator
  ☆17Updated last year
• sharc-lab / gnn-builder
  An Automated Framework for Generic Graph Neural Network Accelerator Generation, Simulation, and Optimization
  ☆24Updated last year
• PKUZHOU / GNNear-PACT-2022
  GNNear: Accelerating Full-Batch Training of Graph NeuralNetworks with Near-Memory Processing
  ☆14Updated 3 years ago
• synergy-noc-generators / Proteus
  ☆10Updated 3 years ago
• sharc-lab / FlowGNN
  A dataflow architecture for universal graph neural network inference via multi-queue streaming.
  ☆75Updated 3 years ago
• UCLA-VAST / splag
  Accelerating SSSP for power-law graphs using an FPGA.
  ☆23Updated 3 years ago
• ic-lab-duth / FusedGCN4HLS
  Systolic Three Matrix Multiplier for Graph Convolutional Networks using High Level Synthesis
  ☆23Updated 3 years ago
• tsinghua-ideal / spada-sim
  The simulator for SPADA, an SpGEMM accelerator with adaptive dataflow
  ☆47Updated 3 years ago
• georgia-tech-synergy-lab / hardtaco-hls
  HLS project modeling various sparse accelerators.
  ☆12Updated 4 years ago
• cornell-zhang / GLAIVE
  Graph-learning assisted instruction vulnerability estimation published in DATE 2020
  ☆14Updated 5 years ago
• maestro-project / magma
  ☆19Updated 3 years ago
• stonne-simulator / sst-elements-with-stonne
  STONNE Simulator integrated into SST Simulator
  ☆22Updated last year
• ecolab-nus / lisa
  A portable framework to map DFG (dataflow graph, representing an application) on spatial accelerators.
  ☆40Updated 3 years ago
• sharc-lab / GenGNN
  ☆37Updated 4 years ago
• MPSLab-ASU / dMazeRunner
  dMazeRunner: Dataflow acceleration optimization infrastructure for coarse-grained programmable accelerators
  ☆47Updated 3 years ago
• he-actlab / planaria.code
  ☆29Updated 4 years ago
• Liu-Cheng / graph_accelerator
  Graph accelerator on FPGAs and ASICs
  ☆11Updated 7 years ago
• UCLA-VAST / AutoDSE
  ACM TODAES Best Paper Award, 2022
  ☆32Updated 2 years ago
• cornell-zhang / SPADE
  ☆11Updated 4 years ago