zjjzby / GNN-hardware-acceleration-paperView external linksLinks
This repo is to collect the state-of-the-art GNN hardware acceleration paper
☆54Jun 8, 2021Updated 4 years ago
Alternatives and similar repositories for GNN-hardware-acceleration-paper
Users that are interested in GNN-hardware-acceleration-paper are comparing it to the libraries listed below
Sorting:
- An end-to-end GCN inference accelerator written in HLS☆18Apr 5, 2022Updated 3 years ago
- ☆11Aug 4, 2022Updated 3 years ago
- ☆112Jul 3, 2021Updated 4 years ago
- A reading list for deep graph learning acceleration.☆254Jul 26, 2025Updated 6 months ago
- [HPCA 2022] GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design☆39Mar 30, 2022Updated 3 years ago
- A benchmark suite for Graph Machine Learning☆19Oct 8, 2024Updated last year
- [ASAP 2020; FPGA 2020] Hardware architecture to accelerate GNNs (common IP modules for minibatch training and full batch inference)☆43Mar 30, 2021Updated 4 years ago
- ☆49Apr 11, 2025Updated 10 months ago
- Accelerating Recommender model training by leveraging popular choices -- VLDB 2022☆31Sep 15, 2024Updated last year
- Implementation of FusedMM method for IPDPS 2021 paper titled "FusedMM: A Unified SDDMM-SpMM Kernel for Graph Embedding and Graph Neural N…☆31Aug 12, 2022Updated 3 years ago
- ☆11Mar 14, 2023Updated 2 years ago
- Distributed Multi-GPU GNN Framework☆36Jun 26, 2020Updated 5 years ago
- Scaling Graph Processing on HBM-enabled FPGAs with Heterogeneous Pipelines☆22Aug 8, 2022Updated 3 years ago
- ☆26Dec 12, 2022Updated 3 years ago
- Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching☆41Jul 10, 2024Updated last year
- ☆22Feb 18, 2025Updated 11 months ago
- Towards Hardware and Software Continuous Integration☆13Jun 8, 2020Updated 5 years ago
- ☆11Oct 2, 2023Updated 2 years ago
- ☆10Aug 2, 2021Updated 4 years ago
- FPGA-based HyperLogLog Accelerator☆12Jul 13, 2020Updated 5 years ago
- ☆22Sep 27, 2022Updated 3 years ago
- STONNE: A Simulation Tool for Neural Networks Engines☆145Jun 16, 2025Updated 8 months ago
- SparseTIR: Sparse Tensor Compiler for Deep Learning☆142Mar 31, 2023Updated 2 years ago
- Graph accelerator on FPGAs and ASICs☆11Aug 16, 2018Updated 7 years ago
- ☆11Apr 15, 2024Updated last year
- A Vector Caching Scheme for Streaming FPGA SpMV Accelerators☆10Sep 7, 2015Updated 10 years ago
- ☆48Jan 30, 2026Updated 2 weeks ago
- Repository for artifact evaluation of ASPLOS 2023 paper "SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning"☆25Feb 24, 2023Updated 2 years ago
- Exercises for exploring the Fibertree, Timeloop and Accelergy tools☆114Apr 9, 2025Updated 10 months ago
- ☆70Jun 16, 2021Updated 4 years ago
- Graph Sampling using GPU☆52Mar 17, 2022Updated 3 years ago
- Bioinformatics benchmarking package, based on the original BioBench developed by Albayraktaroglu et al, 2005☆13Dec 13, 2018Updated 7 years ago
- [ASP-DAC 2025] "NeuronQuant: Accurate and Efficient Post-Training Quantization for Spiking Neural Networks" Official Implementation☆15Mar 6, 2025Updated 11 months ago
- PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks"☆14Mar 25, 2023Updated 2 years ago
- BiSUNA framework specialized to compile for the Xilinx Alveo U50☆13Dec 3, 2020Updated 5 years ago
- ☆14Feb 14, 2022Updated 4 years ago
- ☆24Apr 20, 2024Updated last year
- Artifact for PPoPP22 QGTC: Accelerating Quantized GNN via GPU Tensor Core.☆30Feb 12, 2022Updated 4 years ago
- A source-to-source compiler for optimizing CUDA dynamic parallelism by aggregating launches☆15Jun 21, 2019Updated 6 years ago