Exploring High-Performance Computing and MATLAB Code Acceleration: Our Recent HPC Workshop at BME

Klara Kiss
Attendees learning parallel computing techniques at a MATLAB HPC workshop in Budapest

In November, SciEngineer hosted a hands-on High-Performance Computing (HPC) workshop at BME in collaboration with MathWorks and DKF Hungary. Participants from universities across the country learned how to accelerate their MATLAB code, optimize workflows, and apply parallel computing techniques under the guidance of international HPC experts. The event combined practical exercises with personalized feedback, making it a valuable learning experience for professors, researchers and students.

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Recently, we had the pleasure of hosting a High-Performance Computing (HPC) workshop at Budapest University of Technology and Economics (BME), organized in collaboration with MathWorks and the DKF National Competence Centre for HPC – Hungary. This event brought together a community of MATLAB users eager to explore parallel computing and learn how to accelerate their code, supported by world-class experts and cutting-edge HPC infrastructure.

The workshop featured two distinguished MathWorks experts, Raymond Norris from the US and Shubo Chakrabarti from Germany, who guided participants through both theoretical and practical aspects of HPC. Thanks to DKF’s collaboration, participants had access to their HPC cluster, enabling hands-on experience with running MATLAB tasks in a real-world high-performance environment.

Preparation Matters: The Online Pre-Event  


Before the in-person workshop, participants joined an online introductory session on October 16, designed to familiarize them with HPC concepts and prepare them for the practical exercises. This step helped ensure that everyone was ready to make the most of the live event.

The Live Workshop: Hands-On Learning


On November 4, participants from universities across Hungary gathered in Budapest for a full-day, immersive experience. The agenda focused on practical ways to speed up MATLAB code while making it more efficient and scalable:

  • Running MATLAB tasks on the DKF HPC system

  • Improving code performance through optimization and parallelization

  • Receiving personalized feedback from MathWorks and DKF experts

  • Consulting on their own MATLAB projects with guidance on-site

The day was filled with collaboration, curiosity, and hands-on experimentation. Participants had the chance to directly apply what they learned, accelerate their own code, and receive expert guidance to optimize workflows.

HPC workshop - helping with Parallel Computing

Raymond Norris and Shubo Chakrabarti guiding a participant through MATLAB code during the workshop.

What Participants Thought


We were grateful to welcome such enthusiastic learners from across Hungary. Participants appreciated the hands-on guidance and the opportunity to explore HPC in a supportive environment.

Dr. Tamás Bódai, Reader in Applied Statistics from Hungarian University of Agriculture and Life Sciences shared:

I learnt something incredible about MATLAB just yesterday: from the MATLAB installation on your laptop, you can run a job on a (distant) supercomputer.
Thanks, Raymond Norris! And all the guys who put together this great Parallel Computing training.


Anna Barlay, Young Researcher from Institute of Neurosurgery and Neurointervention, Semmelweis University added:


I found the workshop extremely valuable, especially the balance between theory and hands-on practice. The online session helped clarify concepts through concrete examples, while the live workshop focused on building a fully functional server connection—a key milestone in any project setup. The structured guidance made troubleshooting and validating configurations straightforward, and I appreciated that participants could continue developing their own projects independently afterwards.
Pairing the practical morning block with parallel demand calculation was a smart choice, as it allowed us to analyze the system’s core structure and see how performance scales under different conditions.

Overall, it was an excellent opportunity to strengthen technical skills and gain cross-disciplinary insight.

Looking Ahead


This workshop highlighted the growing importance of HPC skills for researchers and engineers, particularly the ability to run MATLAB code faster and more efficiently. We were thrilled to see such high levels of engagement and excitement from the community. As computational challenges grow and the demand for advanced data-driven solutions accelerates, these skills will be more critical than ever – and we hope this is just the beginning of many future collaborations.

A heartfelt thank you to everyone who participated and supported this initiative – your curiosity, energy, and commitment to innovation made the workshop a true success!

Featured products

All products mentioned are developed by MathWorks. 

MATLAB Campus-Wide License
MATLAB
MATLAB Parallel Server
Parallel Computing Toolbox

Learn more

DKF National Competence Centre for HPC – Hungary

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