Systems engineering
Linux administration, job schedulers, storage, networking, and the software environments that keep a cluster usable.
About NTU HPC/AI
We are Nanyang Technological University's student high performance computing and AI team. Based in Singapore, we train together, represent NTU in international student cluster competitions, and learn what it takes to make demanding workloads run well.
Who we are
A student cluster team needs more than fast hardware. Our members bring together systems administration, performance analysis, code optimisation, hardware knowledge, and machine learning to understand the whole computing stack.
Linux administration, job schedulers, storage, networking, and the software environments that keep a cluster usable.
Benchmarking, profiling, bottleneck analysis, and code optimisation across processors and accelerators.
Compute nodes, CPUs, GPUs, interconnects, power limits, and the practical work of building a reliable system.
Machine-learning and scientific applications that turn computing capability into useful results.
How we grow
Weekly sessions turn unfamiliar HPC concepts into practical skills that members can apply with confidence.
Competition gives us a demanding environment in which to configure systems, optimise workloads, and work as one team.
Members share knowledge across experience levels and help the next group of students take on bigger technical challenges.
Competition circuit
Student cluster competitions compress the work of an HPC centre into a team challenge: understand the applications, configure the system, measure performance, diagnose bottlenecks, and improve results under time and power constraints.
ASC
China · host university varies
An international challenge initiated by the Asia Supercomputer Community. Finalists build clusters, run HPC and AI benchmarks, optimise real applications, and present their work.
Online preliminary round and on-site final
Official siteISC
ISC High Performance · Europe
Hosted as part of ISC High Performance, this competition exposes teams to scientific applications and production HPC systems through virtual and in-person segments.
Virtual competition and on-site cluster challenge
Official siteSC
SC Conference · United States
A 48-hour challenge at the International Conference for High Performance Computing, Networking, Storage, and Analysis. Teams build, operate, and tune a cluster against real scientific workloads.
On-site challenge in a rotating U.S. host city
Official siteHPC-AI
Asia-Pacific · remote
An annual regional competition organised by the HPC-AI Advisory Council. Teams use shared supercomputing resources to tackle extended HPC and AI optimisation tasks.
Multi-month remote competition
Official siteWeekly technical sessions
We meet regularly to study Linux and HPC tools, practise parallel programming, evaluate benchmarks, and share what we learn from real systems.