Think Beyond Local
Understand why real-world workloads require clusters, accelerators, schedulers, storage, and distributed environments.
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HCMUT HPC Summer School 2026
Start Local, Compute at Scale
A 3-day intensive program for undergraduate students exploring how AI, data, and scientific workloads scale on High Performance Computing systems.
Application deadline: 23:59, June 10, 2026
Latest updates
- Official recap published: HCMUT HPC Summer School 2026 has been conducted successfully. Read the full recap from HPC Lab or view the event photos here.
- George V. Neville-Neil joins HCMUT HPC School 2026 as an invited speaker. View speaker profile.
- Green Node joins HCMUT HPC School 2026 as a partner.
- The school program has been updated with the latest three-day agenda, session topics, and learning activities. View updated program.
- Speaker list updated. The speakers, lecturers, and instructors page now includes the latest confirmed profiles and academic links. View speakers.
- School application submission is open. Apply now.
Why This School?
Modern computing work increasingly depends on shared infrastructure, scalable execution, and careful resource management. The school helps students connect classroom programming with the systems that support real AI, data, and scientific workloads.
Understand Compute at Scale
Learn how workloads are submitted, managed, monitored, and reasoned about in HPC and AI infrastructure.
Join a Technical Community
Connect with peers, instructors, researchers, and mentors through collaborative learning and community-oriented technical activities.
Who Should Apply?
This program is for undergraduate students who want to understand what happens when software, data, and experiments grow beyond a personal laptop. Review the school details and FAQ here, then submit the registration form through the Apply Now button before 23:59, June 10, 2026.
AI & Data Workload Builders
For students working with machine learning, data science, analytics, or software applications who want to understand what happens when models, datasets, and pipelines grow beyond local machines.
Systems, Infrastructure & Performance Enthusiasts
For students interested in Linux, distributed systems, parallel computing, cloud/HPC infrastructure, performance analysis, resource management, schedulers, and scalable software systems.
Research, Engineering & Exploration-Oriented Students
For students who enjoy investigating technical problems, joining lab activities, preparing for thesis topics, or exploring future directions in HPC, AI systems, Big Data platforms, and emerging computing technologies.
What You Will Learn
HPC Fundamentals
Understand the basic concepts of HPC systems, including compute nodes, clusters, job scheduling, shared resources, accelerators, storage, and the role of HPC in modern AI and data workloads.
Practical Hands-on Skills
Learn how to interact with technical environments used in HPC and data systems, including command-line workflows, job execution, monitoring, and basic experiment practice.
Scalable AI & Data Workloads
Understand how AI and data-intensive workloads are structured, what makes them difficult to scale, and how performance, data movement, and resource constraints affect system design.
HPC Community & Technical Communication
Explore HPC as a technical community through lab activities, seminars, technical conferences, mini-challenges, student competitions, and research culture. Students will also be introduced to broader pathways such as international HPC schools, major HPC conferences, and student cluster competitions.
Program Overview
Day 1
HPC Foundations and Parallel Computing
Opening activities, HPC foundations, cluster resource management, and hands-on parallel computing with OpenMP and MPI.
Day 2
Computer Vision, AI Workloads, and Reproducible HPC
Computer vision and deep learning, resource-aware GPU requests, reproducible experiments with Apptainer, and scalable AI infrastructure.
Day 3
Mini Hackathon and HPC Student Community
A team mini hackathon followed by presentations, international perspectives, community talks, a panel discussion, awards, and closing.
Beyond the School
Join the Local HPC Community
Continue engaging with HPC Lab, Big Data Club, student seminars, reading groups, internal technical sharing sessions, and lab-based research or engineering projects.
Grow Through Technical Challenges
Apply what you learn in mini-hackathons, internal contests, performance engineering challenges, and student-led projects that require scalable computing, reproducible experiments, and teamwork.
Connect to International Pathways
Discover broader opportunities such as international HPC schools, ACM SIGHPC activities, major HPC conferences such as SC and ISC High Performance, and student cluster competition ecosystems.
Build a Long-Term Direction
Use the school as a foundation for thesis topics, research projects, open-source development, advanced coursework, or future work in HPC, AI systems, Big Data platforms, scientific computing, and emerging computing technologies.
Organizers
Organized by
In cooperation with
Partners
Frequently Asked Questions
Who should apply for this school?+
This school is designed for undergraduate students who are interested in High Performance Computing, AI systems, big data processing, parallel programming, or research-oriented computing infrastructure.
The program is especially suitable for students who want to understand how large-scale computing systems are used to solve real-world problems beyond a local laptop environment.
Can non-HCMUT students apply?+
Yes. Students from universities outside HCMUT are welcome to apply.
Applicants from other universities will be considered through the same registration and selection process, based on their background, motivation, and alignment with the school's objectives.
How will participants be selected?+
Participants will be selected based on motivation, technical readiness, relevance of interest, and commitment to participate in the full program.
Because the number of seats may be limited, submitting the registration form does not automatically guarantee admission.
Applications close at 23:59, June 10, 2026.
Is there any participation fee?+
No. HCMUT HPC Summer School 2026 is free for selected participants.
Selected participants only need to confirm their attendance and follow the preparation instructions provided by the organizing team before the program starts.
Do I need prior HPC experience to join?+
No prior HPC experience is required.
The school is intended as an entry point for students who are new to High Performance Computing. Basic programming skills and willingness to work with Linux-based environments, command-line tools, and hands-on technical exercises are helpful.
Is there an online option?+
The school is primarily designed as an on-site program at Ho Chi Minh City University of Technology - VNU-HCM, Campus 1.
Online participation options, if available, will be announced through official channels.
Ready to start local and compute at scale?
Apply before 23:59, June 10, 2026. For questions, contact bdc+hpcschool@hcmut.edu.vn or message the HPCC/BDC fanpages.