TonY is a framework to natively run deep learning frameworks on Apache Hadoop.
-
Updated
Oct 14, 2023 - Java
TonY is a framework to natively run deep learning frameworks on Apache Hadoop.
DynoYARN is a framework to run simulated YARN clusters and workloads for YARN scale testing.
Provides remote kernel provisioners for various resource-managed clusters.
A fully-functional Hadoop Yarn cluster as docker-compose deployment.
A simple service for discovering Flink cluster on Hadoop Yarn
Docker image builds for Hadoop sandbox.
It's a modified version of hadoop yarn resource manager. It has a new fair(drf) scheduling + simulated annealing policy that has been added to the package. visit below for more information.
ProBoS - A PBS implementation on Hadoop YARN
Various scripts to automate and ease Apache Hadoop YARN development.
Data Analytics Laboratory
Instructions for setting up Hadoop 3.0.3 on AWS
spark hadoop exercise of cloud computing course - aut 1402-1403 fall
Hadoop setup - distributed mode with yarn locally.
Big-Data with Apache Spark and Python.
Ansible scripts for setting up Multi-Cluster Hadoop
A starter project for Hadoop and Giraph with Maven and Docker
Add a description, image, and links to the hadoop-yarn topic page so that developers can more easily learn about it.
To associate your repository with the hadoop-yarn topic, visit your repo's landing page and select "manage topics."