Think Beyond Local
Understand why real-world workloads require clusters, accelerators, schedulers, storage, and distributed environments.
Apply Now
HCMUT HPC Summer School 2026
Start Local, Compute at Scale
A 3-day intensive learning program for undergraduate students who want to understand how modern AI, data, and scientific workloads move beyond personal laptops and scale on high-performance computing systems.
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.
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
Students build a practical foundation for working with high-performance computing environments, scalable workloads, and the technical communication expected in systems-oriented teams.
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
The program moves from core HPC concepts to hands-on workload practice, then gives students space to apply ideas through a challenge and connect them to research and community directions.
Day 1
Foundations of HPC: From Local Code to Cluster Execution
Students are introduced to high-performance computing concepts, parallel programming foundations, HPC environments, and basic cluster job submission.
Day 2
Modern HPC for AI and Data-Intensive Workloads
Students explore distributed data processing concepts, scalable data workflows, containerized HPC environments, and AI/LLM workloads on HPC systems.
Day 3
Mini Challenge, Research Community, and Future Directions
Students participate in a mini challenge and join seminar, panel discussion, and closing activities with academic, technical, and external contributors.
Beyond the School
The school is a starting point for continued learning through lab activities, student communities, technical challenges, research projects, and broader HPC ecosystems.
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.
Lecturers & Instructors
The school is delivered by faculty members, researchers, and HPC Lab members with experience in high-performance computing systems, parallel programming, HPC infrastructure, AI workloads, and large-scale data processing.
Assoc. Prof. Dr. Thoai Nam
High Performance Computing Lab, HCMUT
To be updated.
MEng. Hoang Le Hai Thanh
Faculty of Computer Science and Engineering, HCMUT
MEng. Hoang Le Hai Thanh is a lecturer at the Faculty of Computer Science and Engineering, HCMUT. His work focuses on agent-native cognitive AI systems, high-performance computing optimization, job runtime prediction, digital twins, and AI-assisted analytics for real-world domains.
MSc. Nguyen Manh Thin
High Performance Computing Lab, HCMUT
To be updated.
Dr. Diep Thanh Dang
Faculty of Computer Science and Engineering, HCMUT
To be updated.
NP
MEng. Ngo Doan Duc Phuong
High Performance Computing Lab, HCMUT
To be updated.
Organizers
The school is coordinated by academic, laboratory, and student community groups that support computing systems education and hands-on technical learning at HCMUT.
Organized by
High Performance Computing Laboratory
Faculty of Computer Science and Engineering
In cooperation with
BDC
Data Science Laboratory (DSCIE Lab)
Big Data Club
CSE Youth Union
CSE Student Association
Industry Partners
TBU
To be updated
Frequently Asked Questions
These answers clarify participation expectations, preparation, selection, fees, and follow-up opportunities for prospective applicants.
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.
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 HCMUT.
Online participation options, if available, will be announced through official channels.
Ready to start local and compute at scale?
Join HCMUT HPC Summer School 2026 and take your first step into scalable computing, AI systems, and research-oriented engineering. Contact bdc+hpcschool@hcmut.edu.vn for questions.