Alternatives and similar repositories for preprop-gnn

Users that are interested in preprop-gnn are comparing it to the libraries listed below

• cornell-zhang / SPADE
  ☆11Updated 3 years ago
• cornell-zhang / HOGA
  Hop-Wise Graph Attention for Scalable and Generalizable Learning on Circuits
  ☆26Updated 9 months ago
• cornell-zhang / quickest
  QuickEst repository: Quick Estimation of Quality of Results
  ☆26Updated 6 years ago
• cornell-zhang / uptune
  A Generic Distributed Auto-Tuning Infrastructure
  ☆22Updated 3 years ago
• cornell-zhang / GraphLily
  A graph linear algebra overlay
  ☆51Updated 2 years ago
• GATECH-EIC / GCoD
  [HPCA 2022] GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design
  ☆37Updated 3 years ago
• cornell-zhang / GLAIVE
  Graph-learning assisted instruction vulnerability estimation published in DATE 2020
  ☆13Updated 4 years ago
• sharc-lab / GenGNN
  ☆37Updated 3 years ago
• cornell-zhang / GARNET
  GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks
  ☆36Updated 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
• cornell-zhang / UniSparse
  Code base for OOPSLA'24 paper: UniSparse: An Intermediate Language for General Sparse Format Customization
  ☆30Updated 6 months ago
• Yu-Maryland / Differentiable_Scheduler_ICML24
  Differentiable Combinatorial Scheduling at Scale (ICML'24). Mingju Liu, Yingjie Li, Jiaqi Yin, Zhiru Zhang, Cunxi Yu.
  ☆21Updated 7 months ago
• maestro-project / confuciux
  ☆33Updated 3 years ago
• UCLA-VAST / Serpens
  Serpens is an HBM FPGA accelerator for SpMV
  ☆19Updated 10 months ago
• UCLA-VAST / GNN-DSE
  DAC'22 paper: "Automated Accelerator Optimization Aided by Graph Neural Networks"
  ☆40Updated last year
• cornell-zhang / llm-datatypes
  Codebase for ICML'24 paper: Learning from Students: Applying t-Distributions to Explore Accurate and Efficient Formats for LLMs
  ☆26Updated 11 months ago
• sharc-lab / FlowGNN
  A dataflow architecture for universal graph neural network inference via multi-queue streaming.
  ☆73Updated 2 years ago
• UCLA-DM / HLSyn
  HLSyn benchmark for paper "Towards a Comprehensive Benchmark for FPGA Targeted High-Level Synthesis"
  ☆29Updated last year
• maestro-project / gamma
  ☆41Updated 11 months ago
• thu-nics / CLAP-triangle-counting
  The official code for DATE'23 paper <CLAP: Locality Aware and Parallel Triangle Counting with Content Addressable Memory>
  ☆21Updated 2 months ago
• sharc-lab / DGNN-Booster
  ☆16Updated 2 years ago
• kartik-hegde / mindmappings
  A reference implementation of the Mind Mappings Framework.
  ☆29Updated 3 years ago
• jasonlin316 / GCN-Inference-Acceleration-HLS
  An end-to-end GCN inference accelerator written in HLS
  ☆19Updated 3 years ago
• Xtra-Computing / ReGraph
  Scaling Graph Processing on HBM-enabled FPGAs with Heterogeneous Pipelines
  ☆19Updated 2 years ago
• cucapra / EventQueue
  EQueue Dialect
  ☆40Updated 3 years ago
• synergy-noc-generators / Proteus
  ☆10Updated 2 years ago
• Xilinx / hydra
  ☆12Updated 3 years ago
• Yu-Maryland / Gamora
  Gamora: Graph Learning based Symbolic Reasoning for Large-Scale Boolean Networks (DAC'23)
  ☆50Updated 5 months ago
• zlinaf / PowerGear
  [DATE 2022] PowerGear: Early-Stage Power Estimation in FPGA HLS via Heterogeneous Edge-Centric GNNs
  ☆17Updated 3 years ago
• lydiawunan / HLS-Perf-Prediction-with-GNNs
  High-Level Synthesis Performance Prediction using GNNs: Benchmarking, Modeling, and Advancing
  ☆51Updated last year