MONASH DEEPNEURON
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MONASH DEEPNEURON ✦
HPC Competitions.
2024 - APAC Competition ✦
Monash DeepNeuron is proud to announce that our undergraduate team has won a Merit Award in the prestigious 7th APAC HPC-AI Competition, marking this as the second consecutive year of their achievement.
2024’s competition featured 41 teams from 23 universities and research institutions across nine countries and regions.
The competition this year featured two standout projects: the use of HOOMD-blue simulations for modelling complex particle systems with applications in materials science, and the development of Llama-3, a cutting-edge large language model. Llama-3 leverages an advanced AI cluster for distributed inference, showcasing innovations in computational efficiency and scalability.
The Monash HPC Branch team, led by Kevin Duigan, Michael Xue, David Le, Simon Michnowicz, and Daniel Arnould demonstrated exceptional skills and innovation. Thank you to Application Specialist Simon Michnowic for his guidance, and to Monash eResearch for their continued sponsorship and support.
This recognition highlights the team's commitment to advancing HPC and AI technologies, embodying the spirit of collaboration and innovation and look forward to their future contributions.
Photo: Monash DeepNeuron's undergraduate team: Kevin Duignan (far right), Michael Xue, David Le, Simon Michnowicz, Daniel Arnould (from left to right), and Martin Carroll (not pictured) celebrate their success in the 7th APAC HPC-AI Competition with a spirited moment of teamwork and innovation.
2023 - APAC Competition ✦
Photo: Allister and Yusuke receiving the Merit Prize award for the team
Photo: The official Certificate of Merit, 2023 APAC HPC-AI Competition
Monash DeepNeuron is thrilled to share that our cluster competition team won the Merit Prize at SuperComputing Asia 2024 for our work in the 6th HPC-AI APAC Competition!
Our members Allister and Yusuke had the privilege of presenting our work at SCA2024 and receiving the award for the team.
The Task ✦
The competition involved a collaborative project for developing earth-system simulation components (HPC) for use in climate and weather studies 🌦️, and the development of a multilingual language model that uses an AI cluster to provide distributed inference service.
In our 2023 APAC competition, MPAS-Atmosphere was chosen as the HPC application, and Bloom as the AI application. Our task is to optimise these softwares to achieve as high a benchmark as possible while staying under compute resource constraints.
In this competition, students had access to two of the largest clusters in the Southern Hemisphere, the NCI and Singapore's ASPIRE (read more).
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Australian National University
Chinese University of Hong Kong
Fudan University
Kasetsart University
Lanzhou University
Monash University
Nanjing University
Nanyang Technological University - Nebula
Nanyang Technological University - Neutron
National Cheng Kung University
National Tsing Hua University - SJ
National Tsing Hua University - ZY
Peking University
Shahjalal University of Science and Technology
Southern University of Science and Technology - Qiming
Southern University of Science and Technology - Taiyi
Sun Yet-Sen University
Telkom University
Thammasat University TULP-02
Thammasat University TULP-03
Thammasat University TULP-14
Universiti Putra Malaysia - TEAM A
Universiti Putra Malaysia - TEAM B
University of peradeniya
✦ The Team ✦
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YUKI KUME
Computer Science Advanced Year 2
Team Captain | Bloom, MPAS -
CALEB OOI
Software Engineering/Computer Science Year 4
Bloom -
ADITYA DESAI
Computer Science Year 2
MPAS -
ALLISTER LIM
Computer Science Year 3
Bloom -
YUSUKE MIYASHITA
Mechatronics Engineering/Commerce
Bloom
APAC Competitors 2024
ASC24 Monash DeepNeuron Student Talk
Monash DeepNeuron's APAC 2024 Team
Want to know more?
See our slides about the competition and read our Blog Post!
International Coverage
Proudly representing Monash University, our work at the APAC HPC-AI Competition has been recognised on both a national and international level. Some of the articles are listed below for you to check out!