Workshop

SURF Research bootcamp

SURF Research bootcamp presents a deep dive into research skills through five hands-on workshops. The informative workshops are aimed at researchers and research supporters. A laptop is required at all sessions.  

  

Studenten - fotograaf Robert Lagendijk
03 Dec 2024
Time
12.00 - 17.00
Location
Various locations Amsterdam Science Park

The bootcamp is organised by the eScience Centre, University of Amsterdam, Nikhef, Hogeschool van Amsterdam and SURF.   

All workshops will take place simultaneously. As a participant, you will therefore choose one of the five workshops. However, the walk-in with lunch and closing drinks are jointly for all participants.   

The number of places per workshop is limited. If a session is full, you can still sign up for the waiting list per workshop.   

Registration closes on 26 November, 11pm. Final allocation of workshop participation will be confirmed via e-mail.   

Program

12.00-13.00: Walk-in and shared lunch at Oerknal - Science Park 306    

13.00-13.30: Walk to the location of your workshop  

13.30-15.30: Workshop sessions

15.30-16.00: Walk from workshop location to Oerknal 

16.00-17.00: Closing drinks at Oerknal - Science Park 306  

Workshop 1: Introduction to vantage6 (ENG)

Speaker: Djura Smits, Research engeneer (eScience Center) 
Location: SURF Datacenter - Amsterdam Data Tower, Science Park 120  
Language: English 
Required:  
- ID; valid passport or driving license for entering the datacenter. Access to the datacenter is only possible with valid ID!  
- Laptop.  
Prior knowledge: None 

In this session is a preview of vantage6, a powerful software framework that enables privacy-preserving data analysis. This tool allows researchers, particularly in sensitive fields like clinical research, to securely combine and analyze data from multiple sources while safeguarding privacy. 

In an interactive demo we'll show you how to enable privacy-preserving data analysis using vantage6.  

The workshop is a brief preview of the "Introduction to vantage6" workshop, developed by IKNL and the Netherlands eScience Center.  

Learning objectives:
- A high-level understanding on how to analyse data by using privacy-enhancing technologies.  
- A first impression on the work environment of Vantage6 and how to use it. 

Workshop 2: Doing research with sensitive data in SURF Research Cloud, how does it work? (NL)

Speaker: Martin Brandt (SURF) and Carsten Schelp (SURF)   
Location: SURF Science Park 140, meeting room 1,2.  
Language: Dutch   
Required: Laptop 
Prior knowledge: None   

In this session, we will edit sensitive data in SURF Research Cloud's Trusted Research Environment called SANE. We will give insight in which requirements data providers may impose as a condition for working with their sensitive data. You will experience how doing research with sensitive data differs from working with open access data.  

After a short presentation on the principles of SANE, you will work on an assignment yourself.

Learning objectives:
- By the end of this session, you will know how to process sensitive data securely for research purposes.   
- As a data provider (supplier of sensitive data), you will learn how to upload your data and make it available in SANE.  
- As a researcher, you will learn how to perform analyses on the sensitive data in SANE. 

Workshop 3: Power measurement and energy efficiency in modern computing environments (ENG)

Speakers: Emily Kooistra (Nikhef), Roel Aaij (Nikhef), Benjamin Czaja (SURF) 
Location: Nikhef, Science Park 105. 
Language: English  
Required: laptop 
Prior knowledge: 
- Be able to compile and run code 
- Be sufficient in Linux 

The rapid growth of high-performance computing and artificial intelligence leads to a significant increase in energy consumption. However, the power density of computing devices has reached a point where further scaling is no longer feasible. As a result, improving energy efficiency has become a critical focus over the past decade. 
 
Hardware vendors have begun integrating built-in power measurements and providing more specialised instructions to use less energy to compute the same values. These advancements allow for more granular control and monitoring of energy usage, helping to optimize power consumption during computational tasks. 

This session provides participants with hands-on experience in measuring power consumption and analyzing energy efficiency across various hardware platforms.  

By running use cases on different CPUs and GPUs, participants will gain practical insights into how energy consumption varies by architecture and workload, and how to apply energy-saving techniques in HPC and AI environments. 

Available hardware: A diverse range of CPUs and GPUs from three major vendors: NVIDIA, Intel, and AMD. 

Learning objectives:  
- Understand there are differences between the set-up of CPU’s and GPU's
- Know where there are gains to be made in using different generations of hardware 

Workshop 4: Quantum Masterclass (ENG)

Speakers: Taha Selim, PhD Researcher & Lecturer HvA, Bernardo Villalba Frias PhD Researcher & Lecturer HvA and Ariana Torres, Senior Advisor SURF 
Location: SURF – Science Park 140  
Language: English 
Required: Laptop 
Prior knowledge: None. 

Always wanted to know what quantum computing is? Now is your chance!  
Part lecture, part hands on workshop, you will get to have a go at it yourself by programming, executing and examining your own quantum algorithms. 

Learning objectives
- You will have knowledge of the basics and the state of the art of quantum.  
- You’ll develop an understanding of the issues, the impediments and the great impact of quantum technology. 

Workshop 5: Using Snellius for Machine learning and AI (ENG)

Speakers: Paul Groth, Scientific Director UvA, Michael Dorkenwald, Researcher UvA and Robert Jan Schlimbach, HPC Machine Learning Consultant SURF  
Location: Lab42 - Science Park 904 - Room: L3.35 
Language: English 
Required: Laptop 
Prior knowlege: This workshop is designed for existing users of Snellius working on AI research. 

We start with presenting some interesting example use cases of research in AI that have made use of Snellius. After that we will provide a hands-on deep-dive workshop on best practices for getting the most out of the supercomputer for ML and AI workloads.  

Learning objective
- You will be able to work more efficiently with Snellius, getting the most out of the national supercomputer for your AI research.