Empowering Research, Teaching,
and Institutional Innovation
The University’s High-Performance Computing (HPC) Platform provides advanced computational capabilities that accelerate research, teaching, and innovation across disciplines. Built on Amazon Web Services (AWS) cloud infrastructure, the platform delivers scalable, reliable, and high-performance computing power for data-intensive and compute-heavy workloads.
This HPC platform, also known as ºìÐÓÊÓƵ Advanced Computing Facility (SACF) was developed in collaboration with AWS HPC experts, embodying industry best practices in cloud-based scientific computing. This initiative represents a strategic investment in digital research infrastructure — reinforcing the University’s commitment to academic excellence, cross-disciplinary collaboration, and technology-driven learning.
Through this partnership, the University strengthens its position as a regional hub for advanced computation, enabling faculty, researchers, and students to push the boundaries of discovery.
- Platform Highlights
- Cloud-based HPC infrastructure powered by AWS technology.
- Access to scalable GPU and CPU clusters for diverse computational workloads.
- Optimized for AI, scientific computing, bioinformatics, and statistical analysis.
- Preconfigured software environments supporting engineering simulation, data analytics, and machine learning.
- Secure, centrally managed environment with web-based and command-line access.
- Supported and maintained by a dedicated HPC Support Team with over a decade of experience.
- Strategically guided by the HPC Steering Committee to align with institutional research goals.
- Who Can Use the HPC Platform
The platform is available to researchers, course instructors, and students who require high-performance computing for academic or research purposes.
It supports both teaching and research, promoting computational literacy and advancing innovation across the University community.
- Enabling Scientific Research and Teaching
The HPC environment supports a wide spectrum of computational applications, empowering both research and teaching activities across the University.
Typical use cases include:
- Artificial Intelligence and Machine Learning
- Engineering Modelling and Simulation
- Physics, Chemistry, and Material Science Computation
- Bioinformatics and Genomics Analysis
- Statistical and Data Analysis
- Computational Research in Emerging Disciplines
The platform also serves as a teaching tool, providing hands-on experience in large-scale computing environments for AI and data-driven programs.
The Team Behind the Platform
HPC Team
The HPC Platform is planned, deployed, and managed by a dedicated team with over 10 years of experience in academic high-performance computing.
This experienced team brings deep technical and operational expertise in HPC systems, ensuring the platform’s reliability and performance.
Chang Jit Kang
He is a senior specialist with over 10 years of experience in academic research computing. As one of the pioneering engineers behind Malaysia’s largest academic HPC cluster, he has extensive expertise in infrastructure planning, system deployment, and performance optimization. His work ensures reliable, high-performance platforms that support diverse research and teaching activities across disciplines.
Teh Yee Heng
He is an experienced HPC engineer specializing in cluster management, job scheduling, and parallel distributed storage systems. His expertise includes compiling and optimizing open-source scientific software, implementing advanced monitoring solutions, and managing research data platforms. He also has hands-on experience in cloud-based HPC deployment and operations.