MG-GCN: Scalable Multi-GPU GCN Training Framework

Related tags

Deep LearningMG-GCN
Overview

MG-GCN

MG-GCN: multi-GPU GCN training framework.

For more information, please read our paper.

After cloning our repository, run git submodule update --init to download the submodules.

Our software depends on a recent CUDA installation, tested on CUDA 11.4

For parallel preprocessing, our software makes use of the parallel standard library, GCC implementation of the standard library depends on TBB. A recent version of TBB is required, the following is the most recent TBB version that is compatible for our purpose: tbb release

One can use the following command to compile and install TBB:

python3 build/build.py --prefix="<PATH-TO-INSTALL>" --install-libs --install-devel

If tbb is not found, add environment variable: export TBB_ROOT=<PATH-TO-INSTALL>

A recent version of NCCL is also required. You can follow the instructions here to compile and install it: nccl github

GCC version 9 or above is required to compile our software.

When all prerequisites are installed, one can create a build directory and compile our software as follows:

mkdir build
cd build
cmake ..
make -j

To download and preprocess the datasets used in our experiments, first change directory into test/data. Then run prep.py as follows:

cd test/data
mkdir permuted
python3 prep.py -s=0
python3 prep.py -s=1

These commands will download the reddit dataset and output them into the test/data directory. If you want to download other datasets, uncomment the corresponding lines at the end of prep.py and run our script as above. Note that this script requires an installation of dgl, ogb and some other python packages.

Finally, to run our code on the reddit dataset, use the following line from the root directory of our repository:

build/src/mg_gcn -P 4 -R 1 train test/data/permuted/reddit/ 3 128 128 128

-P is for the number of GPUS, 3 128 128 128 denotes the number of hidden layers and their dimensions.

Owner
Translational Data Analytics (TDA) Lab @GaTech
This is the Github page of the Translational Data Analytics (TDA) Lab of Dr. Çatalyürek in the School of Computational Science and Engineering at GaTech.
Translational Data Analytics (TDA) Lab @GaTech
The Fundamental Clustering Problems Suite (FCPS) summaries 54 state-of-the-art clustering algorithms, common cluster challenges and estimations of the number of clusters as well as the testing for cluster tendency.

FCPS Fundamental Clustering Problems Suite The package provides over sixty state-of-the-art clustering algorithms for unsupervised machine learning pu

9 Nov 27, 2022
[CVPR'21] MonoRUn: Monocular 3D Object Detection by Reconstruction and Uncertainty Propagation

MonoRUn MonoRUn: Monocular 3D Object Detection by Reconstruction and Uncertainty Propagation. CVPR 2021. [paper] Hansheng Chen, Yuyao Huang, Wei Tian*

同济大学智能汽车研究所综合感知研究组 ( Comprehensive Perception Research Group under Institute of Intelligent Vehicles, School of Automotive Studies, Tongji University) 96 Dec 10, 2022
Demonstrational Session git repo for H SAF User Workshop (28/1)

5th H SAF User Workshop The 5th H SAF User Workshop supported by EUMeTrain will be held in online in January 24-28 2022. This repository contains inst

H SAF 4 Aug 04, 2022
A modular application for performing anomaly detection in networks

Deep-Learning-Models-for-Network-Annomaly-Detection The modular app consists for mainly three annomaly detection algorithms. The system supports model

Shivam Patel 1 Dec 09, 2021
An open source Python package for plasma science that is under development

PlasmaPy PlasmaPy is an open source, community-developed Python 3.7+ package for plasma science. PlasmaPy intends to be for plasma science what Astrop

PlasmaPy 444 Jan 07, 2023
Repository relating to the CVPR21 paper TimeLens: Event-based Video Frame Interpolation

TimeLens: Event-based Video Frame Interpolation This repository is about the High Speed Event and RGB (HS-ERGB) dataset, used in the 2021 CVPR paper T

Robotics and Perception Group 544 Dec 19, 2022
Projects of Andfun Yangon

AndFunYangon Projects of Andfun Yangon First Commit We can use gsearch.py to sea

Htin Aung Lu 1 Dec 28, 2021
Code for WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models.

WECHSEL Code for WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models. arXiv: https://arx

Institute of Computational Perception 45 Dec 29, 2022
Implementation for Panoptic-PolarNet (CVPR 2021)

Panoptic-PolarNet This is the official implementation of Panoptic-PolarNet. [ArXiv paper] Introduction Panoptic-PolarNet is a fast and robust LiDAR po

Zixiang Zhou 126 Jan 01, 2023
True per-item rarity for Loot

True-Rarity True per-item rarity for Loot (For Adventurers) and More Loot A.K.A mLoot each out/true_rarity_{item_type}.json file contains probabilitie

Dan R. 3 Jul 26, 2022
Agent-based model simulator for air quality and pandemic risk assessment in architectural spaces

Agent-based model simulation for air quality and pandemic risk assessment in architectural spaces. User Guide archABM is a fast and open source agent-

Vicomtech 10 Dec 05, 2022
Code & Data for the Paper "Time Masking for Temporal Language Models", WSDM 2022

Time Masking for Temporal Language Models This repository provides a reference implementation of the paper: Time Masking for Temporal Language Models

Guy Rosin 12 Jan 06, 2023
PyTorch implementation of paper A Fast Knowledge Distillation Framework for Visual Recognition.

FKD: A Fast Knowledge Distillation Framework for Visual Recognition Official PyTorch implementation of paper A Fast Knowledge Distillation Framework f

Zhiqiang Shen 129 Dec 24, 2022
[CoRL 2021] A robotics benchmark for cross-embodiment imitation.

x-magical x-magical is a benchmark extension of MAGICAL specifically geared towards cross-embodiment imitation. The tasks still provide the Demo/Test

Kevin Zakka 36 Nov 26, 2022
A simple interface for editing natural photos with generative neural networks.

Neural Photo Editor A simple interface for editing natural photos with generative neural networks. This repository contains code for the paper "Neural

Andy Brock 2.1k Dec 29, 2022
This repository contains the official implementation code of the paper Transformer-based Feature Reconstruction Network for Robust Multimodal Sentiment Analysis

This repository contains the official implementation code of the paper Transformer-based Feature Reconstruction Network for Robust Multimodal Sentiment Analysis, accepted at ACMMM 2021.

Ziqi Yuan 10 Sep 30, 2022
Py4fi2nd - Jupyter Notebooks and code for Python for Finance (2nd ed., O'Reilly) by Yves Hilpisch.

Python for Finance (2nd ed., O'Reilly) This repository provides all Python codes and Jupyter Notebooks of the book Python for Finance -- Mastering Dat

Yves Hilpisch 1k Jan 05, 2023
Modular Gaussian Processes

Modular Gaussian Processes for Transfer Learning 🧩 Introduction This repository contains the implementation of our paper Modular Gaussian Processes f

Pablo Moreno-Muñoz 10 Mar 15, 2022
Reinforcement learning framework and algorithms implemented in PyTorch.

Reinforcement learning framework and algorithms implemented in PyTorch.

Robotic AI & Learning Lab Berkeley 2.1k Jan 04, 2023
Converts geometry node attributes to built-in attributes

Attribute Converter Simplifies converting attributes created by geometry nodes to built-in attributes like UVs or vertex colors, as a single click ope

Ivan Notaros 12 Dec 22, 2022