GenGNN: A Generic FPGA Framework for Graph Neural Network Acceleration

Last update: Dec 15, 2022

Related tags

Overview

GenGNN: A Generic FPGA Framework for Graph Neural Network Acceleration

Stefan Abi-Karam*, Yuqi He*, Rishov Sarkar*, Lakshmi Sathidevi, Zihang Qiao, Cong Hao (*equal contribution; ordered alphabetically)

School of Electrical and Computer Engineering, Georgia Institute of Technology

Overview

This is GenGNN, a generic GNN acceleration framework using High-Level Synthesis (HLS) with two-fold goals. First, we aim to deliver ultra-fast GNN inference without any graph pre-processing for real-time requirements. Second, we aim to support a diverse set of GNN models with the extensibility to flexibly adapt to new models.

Currently, this repository contains prebuilt bitstreams for the Xilinx Alveo U50 FPGA along with supporting host code. Our HLS code will be open-source upon acceptance.

Owner

Sharc-Lab

Software/hardware Co-design Lab at Georgia Tech

GitHub Repository

PyTorch implementations of deep reinforcement learning algorithms and environments

Deep Reinforcement Learning Algorithms with PyTorch This repository contains PyTorch implementations of deep reinforcement learning algorithms and env

4.7k Jan 04, 2023

Torch-based tool for quantizing high-dimensional vectors using additive codebooks

Trainable multi-codebook quantization This repository implements a utility for use with PyTorch, and ideally GPUs, for training an efficient quantizer

41 Jan 07, 2023

LieTransformer: Equivariant Self-Attention for Lie Groups

LieTransformer This repository contains the implementation of the LieTransformer used for experiments in the paper LieTransformer: Equivariant Self-At

50 Dec 28, 2022

DeepDiffusion: Unsupervised Learning of Retrieval-adapted Representations via Diffusion-based Ranking on Latent Feature Manifold

DeepDiffusion Introduction This repository provides the code of the DeepDiffusion algorithm for unsupervised learning of retrieval-adapted representat

4 Nov 15, 2022

VLGrammar: Grounded Grammar Induction of Vision and Language

27 Dec 23, 2022

Neural Fixed-Point Acceleration for Convex Optimization

Licensing The majority of neural-scs is licensed under the CC BY-NC 4.0 License, however, portions of the project are available under separate license

27 Oct 06, 2022

Source code for Task-Aware Variational Adversarial Active Learning

Contrastive Coding for Active Learning under Class Distribution Mismatch Official PyTorch implementation of ["Contrastive Coding for Active Learning u

27 Nov 23, 2022

CSAC - Collaborative Semantic Aggregation and Calibration for Separated Domain Generalization

CSAC Introduction This repository contains the implementation code for paper: Co

5 Jul 22, 2022

Bolt Online Learning Toolbox

Bolt Online Learning Toolbox Bolt features discriminative learning of linear predictors (e.g. SVM or Logistic Regression) using fast online learning a

87 Dec 12, 2022

PyTorch implementation of Asymmetric Siamese (https://arxiv.org/abs/2204.00613)

Asym-Siam: On the Importance of Asymmetry for Siamese Representation Learning This is a PyTorch implementation of the Asym-Siam paper, CVPR 2022: @inp

89 Dec 18, 2022

Python 3 module to print out long strings of text with intervals of time inbetween

Python-Fastprint Python 3 module to print out long strings of text with intervals of time inbetween Install: pip install fastprint Sync Usage: from fa

2 Jun 27, 2022

End-to-end image segmentation kit based on PaddlePaddle.

English | 简体中文 PaddleSeg PaddleSeg has released the new version including the following features: Our team won the 6.2k Jan 02, 2023

Official Pytorch implementation of the paper "Action-Conditioned 3D Human Motion Synthesis with Transformer VAE", ICCV 2021

ACTOR Official Pytorch implementation of the paper "Action-Conditioned 3D Human Motion Synthesis with Transformer VAE", ICCV 2021. Please visit our we

248 Dec 23, 2022

GenGNN: A Generic FPGA Framework for Graph Neural Network Acceleration

Related tags

Overview

GenGNN: A Generic FPGA Framework for Graph Neural Network Acceleration

Overview

Owner

Sharc-Lab

PyTorch implementations of deep reinforcement learning algorithms and environments

Torch-based tool for quantizing high-dimensional vectors using additive codebooks

LieTransformer: Equivariant Self-Attention for Lie Groups

DeepDiffusion: Unsupervised Learning of Retrieval-adapted Representations via Diffusion-based Ranking on Latent Feature Manifold

VLGrammar: Grounded Grammar Induction of Vision and Language

Neural Fixed-Point Acceleration for Convex Optimization

Source code for Task-Aware Variational Adversarial Active Learning

CSAC - Collaborative Semantic Aggregation and Calibration for Separated Domain Generalization

Bolt Online Learning Toolbox

PyTorch implementation of Asymmetric Siamese (https://arxiv.org/abs/2204.00613)

Python 3 module to print out long strings of text with intervals of time inbetween

End-to-end image segmentation kit based on PaddlePaddle.

Official Pytorch implementation of the paper "Action-Conditioned 3D Human Motion Synthesis with Transformer VAE", ICCV 2021

Project page for our ICCV 2021 paper "The Way to my Heart is through Contrastive Learning"

Exploring Visual Engagement Signals for Representation Learning

Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight)

Stock-Prediction - prediction of stock market movements using sentiment analysis and deep learning.

PyTorch implementation of Wide Residual Networks with 1-bit weights by McDonnell (ICLR 2018)

[NeurIPS 2021 Spotlight] Code for Learning to Compose Visual Relations

Using VideoBERT to tackle video prediction