MONASH DEEPNEURON

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MONASH DEEPNEURON ✦

HPC Projects.

Neural Cellular Automata

A HPC x AI Collaboration

Team members: Keren Collins, Alex Mai, Peter Cooper, Josh Riantoputra, Nyan Kyaw and Chloe Koe

Cellullar automata is a simulation technique that involves an n-dimensional (usually 2D) grid of cells, each with a state. Each cell’s state is updated iteratively based on a “ruleset”. The project will explore the different behaviours of cellular automata that emerge from different rulesets and eventually replace these rules with CNNs.

Read the project blog here.

Sample Neural Cellular Cell Grid

Parallel Clip Training

A HPC x AI Collaboration

Create a CLIP (model which connects related images and text) from scratch, testing HPC techniques to make training it faster. Over the Summer, this involves parallelising the training of a CNN over multiple CPUs/GPUs and investigating whether this speeds up DL model training & execution.

Cluster Development

Project Lead: Orlando Chamberlain

Team members will design and implement a custom HPC cluster workload management and scheduling software on a mini-cluster made of 4 Raspberry Pi 4 SBCs. This will first involve setting up remote access (similar to MDN workstation) and performing other mini-cluster improvements (automated infra management using Ansible, etc...).

Astrophysical Simulation

Project Lead: Kevin Nguyen

Developing a sophisticated physics engine for astrophysical simulations, enabling in-depth investigations into celestial bodies like planets, black holes, and stars. This includes enhancing simulation efficiency through parallelisation of complex tasks like fluid dynamics and gravitational interactions across computing clusters.

DDoS Dissipation

An investigation into Distributed Denial of Service attacks and how HPC techniques can be used to defend a web service under such attacks. A research paper published in the HPC Asia 2018 conference introduces FlexProtect - A DDoS protection architecture for a distributed computing system. Our aim is to explore and investigate how FlexProtect performs against DDoS attacks using HPC simulations.

Map of a DDOS attack

Past HPC Projects

  • INDYscc-2022

    DeepNeuron will be competing at IndySCC in November 2022 in order to win a place in the Student Cluster Competition (SCC), the world championship competition held at the International Supercomputing Conference.

  • Job Record analysis

    In order to increase productivity of M3 MASSIVE users, we are devising a new way to view job records so that better, more informed decisions can be made when submitting their next job.

  • Horovod

    Implementing Horovod on the Monash HPC cluster MASSIVE, and developing training and documentation to enable users to easily train their deep learning models.

  • Monitoring the cluster

    Monitoring the cluster is a visualisation project to display interesting and important data about the Monash M3 Cluster.

  • ASC20-21 STUDENT SUPERCOMPUTER CHALLENGE

    In ASC, students are required to work with hardware and assemble a HPC cluster that is capable of running a range of scientific applications.

    read more

  • ASC21-22 STUDENT SUPERCOMPUTER CHALLENGE

  • DRONE PHOTOGRAMMETRY

    Parallelising the photogrammetry pipeline and implementing a scalable, cloud based solution for point cloud analysis.

  • Ray Tracing Research

    Simulate individual light rays to render high quality 3D assets realistically. Utilise HPC techniques to parallelise simulations and increase efficiency.

Interested in partnering with us on future projects?