The Advanced Computing Platform (ACP) at Monash University Malaysia is a state-of-the-art High-Performance Computing (HPC) facility that provides essential research infrastructure to accelerate computationally intensive tasks. By reducing processing time and offering scalable computing power, ACP enables researchers to conduct complex simulations, analyse massive datasets, and develop innovative solutions across multiple disciplines.

Funded by the University’s Research Excellence Unit and overseen by the School of Information Technology, ACP supports multidisciplinary research in both natural and social sciences, helping researchers publish in top-tier journals and conferences. The platform is instrumental in advancing fields such as:

• Computer Vision & Image Processing
• Optical Networks & Telecommunications
• Machine Learning & Pattern Recognition
• Combustion & Turbulent Flow Analysis
• Nanomaterials & Materials Science
• Genome Analysis & Disease Association Studies

By providing high-speed computing clusters, AI-optimised GPUs, and advanced data processing tools, ACP empowers researchers and industry professionals to push the boundaries of scientific discovery.

Why Choose ACP?

ACP is more than just an HPC system—it’s a complete research computing ecosystem designed for high-impact research.

• High-Speed & Scalable Computing – Handle massive datasets and computationally intensive workloads effortlessly.
• Optimised for AI & Deep Learning – Access high-performance GPUs and deep learning frameworks for accelerated AI model training.
• Seamless Remote Access & Cloud Integration – Work from anywhere with secure remote access to ACP’s resources.
• Expert Consultation & Support – Get personalised assistance from our HPC specialists to optimise your workflows.
• Multi-Disciplinary Research Capabilities – ACP supports a wide range of fields, including engineering, biomedical sciences, physics, finance, and more.

ACP Hardware Specifications

ACP is built with cutting-edge computing hardware to support high-performance workloads:

• Compute Nodes:
  • 1,280 Intel CPU cores with 4TB system memory, optimised for parallel computing.
  • 24 NVIDIA A100 GPUs featuring 165,888 CUDA cores and 1,920GB GPU memory, ideal for AI, deep learning, and scientific simulations.
• Storage & Data Management:
  • 240TiB storage utilising parallel file systems (IBM Spectrum Scale, also known as GPFS) for efficient data processing.
• High-Speed Interconnect:
  • Interconnected NVIDIA Infiniband RDMA network with a speed of 200Gbps, ensuring low-latency communication between nodes.

Specialist Services

Our HPC Specialists offer dedicated support to help you maximise ACP’s capabilities:

• Parallel Computing & Workflow Optimisation – Improve efficiency using multi-core and distributed computing.
• AI & Machine Learning Assistance – Set up, train, and deploy deep learning models on GPU-powered nodes.
• Software & Code Optimisation – Fine-tune applications for maximum performance on ACP’s architecture.
• Big Data Processing & Storage Solutions – Handle massive datasets with our high-speed storage and optimised workflows.
• Technical Training & User Support – Get hands-on training to enhance your HPC expertise.

Specialised Research Services:

• Internal & External Services – Access to our cutting-edge infrastructure to support the computational needs of both internal and external researchers.
• Consultations – Get expert advice on optimizing your research workflows.
• Collaborations – Partner with ACP on cutting-edge AI, data science, and HPC projects.
• Training Programs – Workshops, seminars, and hands-on training tailored for all skill levels.

Getting Started with ACP

Ready to harness the power of ACP? It’s quick and easy to register, inquire, or request services through iLab:

• New User? Start Here!
  • ACP User Registration – Sign up for an ACP account to access our HPC resources.
• Need Help? Login to iLab and reach out!
  • General Inquiries – Have questions? Our team is here to assist you.
• Request Services- Login to iLab and request for services!
  • Service Requests – Need computing resources for your project? Submit a request.
  • Consultation Requests – Get expert guidance on optimising your research workflows.

Publications and Acknowledgements

Your use of the Monash Malaysia Research Infrastructure is heavily subsidised by the University. To comply with internal reporting obligations, the platform must report on the number and type of publications produced by users of the platform/ facility. It is essential that we have this information so that we can continue to provide the advanced instrumentation, staff, training and assistance that you and other researchers require to undertake your work.

It is a condition of use of platform that:
1. You acknowledge the platform and any significant assistance provided by the staff members in your publications;
2. Platform staff members who made a significant scholarly contribution should be co-authors on the publication, in accordance with Monash’s Research Authorship And Attribution Policy, see Research Authorship and Attribution Policy.

Please acknowledge MUMACP in your publications by including:
"The authors acknowledge the use of instruments and scientific and technical assistance at the Monash Malaysia Advanced Computing Platform (MUMACP)”.
Or,
if the work was carried out with help from MUMACP staff (but not enough to justify coauthorship):
"The authors acknowledge the use of instruments and scientific and technical assistance of Name of ACP Staff Member at the Monash Malaysia Advanced Computing Platform (MUMACP).”

Please always notify the relevant platform when acknowledgment is made.

What Our Users Say

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"Thank you for giving me the HighPrio partition that helps my PhD research significantly." — Dr. Leong Fang Yu

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"Dr. Marcus Lim has been very helpful and supportive throughout my experience with ACP. Could not have performed AI and robotics research (works published in top conferences e.g., IJCAI, ICASSP, ICRA, IROS) and achieved research KPIs without the compute resources of ACP and the support of Dr. Marcus Lim. Sincere appreciation and gratitude to the outstanding ACP team." — Dr. Loo Junn Yong

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"I think this is very good and without such resources my training (research) time will be significantly longer (5-10 times)." — Min Khant

Join the Future of High-Performance Computing

At Monash University Malaysia, ACP is driving breakthrough research and technological innovation. Whether you're working on fundamental science or industry applications, ACP is your partner in computational excellence.

Download eFlyer here

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mum-acp@monash.edu

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