About Us
We are a passionate HPC team focused on solving complex computational problems, developing advanced technical skills, and competing at the highest level.
We are a team of ANU students driven to compete at the highest level in the Student Cluster Competition. Our goal is to design, build, and optimise a high-performance computing cluster that delivers maximum performance under strict power and cost constraints. Through rigorous benchmarking, system tuning, and teamwork, we aim to push our hardware and skills to their limits while representing ANU on the global HPC stage.
Alongside our competition efforts, we are developing a GPU-accelerated version of the IQ-TREE phylogenetic software. This project focuses on porting computationally intensive components to run efficiently on modern GPU architectures, significantly reducing runtime for large-scale evolutionary analyses. By combining parallel programming techniques with HPC optimisation strategies, we aim to make cutting-edge bioinformatics tools faster and more accessible for researchers.
Our Hardware
Our systems are engineered to balance performance, power efficiency, and scalability, enabling us to tackle demanding HPC workloads and competition benchmarks.
XENON GPU Cluster
- High-end GPU acceleration for AI & HPC workloads
- Hybrid CPU-GPU workloads leveraging AMD EPYC cores alongside A100s
- Optimised for CUDA, OpenMP, and hybrid MPI+GPU workloads
- Used for IQ-TREE GPU port and parallel compute tasks
Raijin Test Cluster
- Multi-node distributed system for MPI benchmarking
- Used for HPL tuning and SCC workload simulation
- Supports hybrid MPI + OpenMP configurations
- Ideal for scaling tests and network performance analysis
NCI Gadi Supercomputer
- Access to thousands of CPU cores and GPU nodes
- Used for large-scale simulations and validation runs
- PBS Pro workload scheduling environment
- Supports production-level HPC workflows
Pawsey Setonix Supercomputer
- One of the world's most energy-efficient supercomputers
- Access to large-scale CPU and GPU partitions
- SLURM-based scheduling across thousands of nodes
- Supports GPU-accelerated and memory-intensive workloads
Our Sponsors
We are proud to be supported by academic and industry partners who help us develop, build, and optimise high-performance computing systems.
ANU
Leading research university supporting our team’s academic and technical development.
XENON
Provides HPC hardware, GPU systems, and industry expertise for our workloads.
CC Consulting
Provides HPC consulting services, technical support, and expertise in cluster management.
Data Centres Australia
Provides data centre services, infrastructure support, and expertise in high-performance computing environments.
NCI Australia
Provides access to the National Computational Infrastructure and support for HPC research.
Pawsey Supercomputing Centre
Provides access to cutting-edge supercomputing resources and support for HPC research.