Alternatives and similar repositories for GARNET:

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

• cornell-zhang / Polynormer
  Polynormer: Polynomial-Expressive Graph Transformer in Linear Time
  ☆40Updated 10 months ago
• GATECH-EIC / GCoD
  [HPCA 2022] GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design
  ☆35Updated 2 years ago
• cornell-zhang / SPADE
  ☆11Updated 3 years ago
• cornell-zhang / HOGA
  Hop-Wise Graph Attention for Scalable and Generalizable Learning on Circuits
  ☆26Updated 5 months ago
• cornell-zhang / quickest
  QuickEst repository: Quick Estimation of Quality of Results
  ☆26Updated 6 years ago
• sharc-lab / GenGNN
  ☆36Updated 3 years ago
• Xtra-Computing / ReGraph
  Scaling Graph Processing on HBM-enabled FPGAs with Heterogeneous Pipelines
  ☆17Updated 2 years ago
• lydiawunan / HLS-Perf-Prediction-with-GNNs
  High-Level Synthesis Performance Prediction using GNNs: Benchmarking, Modeling, and Advancing
  ☆47Updated 8 months ago
• GraphSAINT / GraphACT
  [FPGA 2020] Open sourced implementation for the ACM/SIGDA FPGA '20 paper titled "GraphACT: Accelerating GCN Training on CPU-FPGA Heteroge…
  ☆18Updated 3 years ago
• cornell-zhang / GraphLily
  A graph linear algebra overlay
  ☆50Updated last year
• jasonlin316 / GCN-Inference-Acceleration-HLS
  An end-to-end GCN inference accelerator written in HLS
  ☆19Updated 2 years ago
• cornell-zhang / GLAIVE
  Graph-learning assisted instruction vulnerability estimation published in DATE 2020
  ☆13Updated 4 years ago
• cornell-zhang / uptune
  A Generic Distributed Auto-Tuning Infrastructure
  ☆21Updated 3 years ago
• UCLA-VAST / GNN-DSE
  DAC'22 paper: "Automated Accelerator Optimization Aided by Graph Neural Networks"
  ☆40Updated last year
• UCLA-VAST / Serpens
  Serpens is an HBM FPGA accelerator for SpMV
  ☆17Updated 6 months ago
• 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 / GraphZoom
  GraphZoom: A Multi-level Spectral Approach for Accurate and Scalable Graph Embedding
  ☆114Updated last year
• Yu-Maryland / Gamora
  Gamora: Graph Learning based Symbolic Reasoning for Large-Scale Boolean Networks (DAC'23)
  ☆49Updated last month
• cornell-zhang / llm-datatypes
  Codebase for ICML'24 paper: Learning from Students: Applying t-Distributions to Explore Accurate and Efficient Formats for LLMs
  ☆24Updated 7 months ago
• UCLA-DM / HLSyn
  HLSyn benchmark for paper "Towards a Comprehensive Benchmark for FPGA Targeted High-Level Synthesis"
  ☆26Updated last year
• sharc-lab / DGNN-Booster
  ☆16Updated last year
• linghaosong / Serpens
  An HBM FPGA based SpMV Accelerator
  ☆12Updated 5 months ago
• sharc-lab / FlowGNN
  A dataflow architecture for universal graph neural network inference via multi-queue streaming.
  ☆70Updated 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…
  ☆12Updated last year
• synergy-noc-generators / Proteus
  ☆9Updated 2 years ago
• UCLA-VAST / AutoDSE
  ACM TODAES Best Paper Award, 2022
  ☆24Updated last year
• UCLA-VAST / HARP
  ICCAD'23 Best Paper Award candidate: Robust GNN-based Representation Learning for HLS
  ☆15Updated 8 months ago
• ecolab-nus / lisa
  A portable framework to map DFG (dataflow graph, representing an application) on spatial accelerators.
  ☆36Updated 2 years ago
• cornell-zhang / UniSparse
  Code base for OOPSLA'24 paper: UniSparse: An Intermediate Language for General Sparse Format Customization
  ☆30Updated 3 months ago
• GraphSAINT / GNN-ARCH
  [ASAP 2020; FPGA 2020] Hardware architecture to accelerate GNNs (common IP modules for minibatch training and full batch inference)
  ☆41Updated 3 years ago