Name: CERN School of Computing 2022
Start: 2022-09-04T15:00:00+02:00
End: 2022-09-17T11:00:00+02:00
Location: AGH University of Science and Technology

Monday, August 29, 2022
Tuesday, August 30, 2022
Wednesday, August 31, 2022
Thursday, September 1, 2022
Friday, September 2, 2022
Saturday, September 3, 2022
Sunday, September 4, 2022

3:00 PM Arrival and registration at the hotel
Arrival and registration at the hotel
3:00 PM - 7:00 PM

7:30 PM Dinner
Dinner
7:30 PM - 8:30 PM

Monday, September 5, 2022

9:00 AM Opening Ceremony
Opening Ceremony
9:00 AM - 10:30 AM

10:45 AM Welcome coffee
Welcome coffee
10:45 AM - 11:15 AM
11:15 AM Introduction to Physics Computing L1: Hadron Collider Physics - Arnulf Quadt (University of Göttingen)
Introduction to Physics Computing L1: Hadron Collider Physics (Physics Computing)
- Arnulf Quadt (University of Göttingen)
11:15 AM - 12:15 PM
Here we will focus on the physics of particle collisions, theoretical aspects of the standard model of particle physics, its predictive power as well as its shortcomings. Experimental aspects such as collider facilities and modern particle physics experiments as well as example physics questions and corresponding data analyses will be discussed. Furthermore, the compute models with the resulting amount of recorded data and simulated Monte Carlo events will be described.
12:15 PM Announcements
Announcements
12:15 PM - 12:30 PM

1:00 PM Lunch
Lunch
1:00 PM - 1:45 PM
2:00 PM Tools and Techniques L1: Introduction - Bob Jacobsen (UC Berkeley)
Tools and Techniques L1: Introduction (Software Engineering)
- Bob Jacobsen (UC Berkeley)
2:00 PM - 3:00 PM
First, we discuss some of the characteristics of software projects for high energy physics, and some of the issues that arise when people want to contribute to them. We then continue with a brief introduction to software engineering from the perspective of the individual contributor, both as a formal process and how it actually affects what you do. We discuss the examples of unit testing and memory access problems.
3:00 PM Self-presentation: 1 minute per person
Self-presentation: 1 minute per person
3:00 PM - 3:45 PM

3:45 PM Coffee break
Coffee break
3:45 PM - 4:15 PM

4:15 PM Self-presentation: 1 minute per person
Self-presentation: 1 minute per person
4:15 PM - 5:00 PM
5:00 PM Tools and Techniques L2: Tools for Collaboration, Software Engineering Across the Project - Bob Jacobsen (UC Berkeley)
Tools and Techniques L2: Tools for Collaboration, Software Engineering Across the Project (Software Engineering)
- Bob Jacobsen (UC Berkeley)
5:00 PM - 6:00 PM
We continue the track with a discussion of system performance, and what you can (and can't) to affect it. We examine tools to help with that, discussing how they work and how they can mislead. We then discuss source control as a tool for collaboration. Using examples from basic to large and advanced, we show how individual choices can affect the building of large systems.
8:00 PM Welcome dinner
Welcome dinner
8:00 PM - 9:30 PM
Tuesday, September 6, 2022
9:00 AM Introduction to Physics Computing L2: Digital Data, Simulation and Reconstruction in Modern Particle Physics Experiments - Arnulf Quadt (University of Göttingen)
Introduction to Physics Computing L2: Digital Data, Simulation and Reconstruction in Modern Particle Physics Experiments (Physics Computing)
- Arnulf Quadt (University of Göttingen)
9:00 AM - 10:00 AM
Here, a focus will be placed on specific detector sub-components and their data readout concepts as well as data reconstruction techniques, simulation techniques and analysis techniques.
10:00 AM Data Science L1: Tools for interactive data exploration - Bob Jacobsen (UC Berkeley)
Data Science L1: Tools for interactive data exploration (Physics Computing)
- Bob Jacobsen (UC Berkeley)
10:00 AM - 11:00 AM
High energy physics has a rich history of interactive exploration of physics data, starting with tools like PAW and ROOT. The explosion of Data Science has created new tools for interactive exploration of large and ad-hoc datasets. This lecture introduces some of these, and shows how they can be used to find new and useful features starting with available data.
11:00 AM Coffee break
Coffee break
11:00 AM - 11:30 AM

11:30 AM Announcements
Announcements
11:30 AM - 11:45 AM
11:45 AM Data Science L2: Interactive exploration of non-numeric data - Bob Jacobsen (UC Berkeley)
Data Science L2: Interactive exploration of non-numeric data (Physics Computing)
- Bob Jacobsen (UC Berkeley)
11:45 AM - 12:45 PM
This lecture continues the exploration of interactive tools, using a learn-by-doing approach. It covers approaches for statistical simulation, geographical analysis, and textual data.
1:00 PM Lunch
Lunch
1:00 PM - 1:45 PM
2:00 PM Tools and Techniques - exercises - Bob Jacobsen (UC Berkeley)
Tools and Techniques - exercises (Software Engineering)
- Bob Jacobsen (UC Berkeley)
2:00 PM - 3:30 PM
The exercises provide some direct experience with the tools and techniques described in the Lectures. Teams of two students will work together on examples designed to show the strengths and weaknesses of various tools and approaches. Basic and advanced exercises are available so that students can work at their own level.
3:30 PM Coffee break
Coffee break
3:30 PM - 3:45 PM

3:45 PM ㅤ
ㅤ
3:45 PM - 5:00 PM
This is a continuation of the Tools and Techniques exercises

8:00 PM Special dinner and pub quiz
Special dinner and pub quiz
8:00 PM - 10:00 PM
Wednesday, September 7, 2022
9:00 AM Data Analysis L1: Introduction - Toni Sculac (University of Split)
Data Analysis L1: Introduction (Physics Computing)
- Toni Sculac (University of Split)
9:00 AM - 10:00 AM
In this lecture we will explain what are the main goals of data analysis. We will introduce statistics as the powerful mathematical tool for data analysis. We will define probability and random variables as key concepts in statistics for data analysis.
10:00 AM Data Management L1: Setting the scene: Storage technologies, Storage reliability - Alberto Pace (CERN)
Data Management L1: Setting the scene: Storage technologies, Storage reliability (Data Technologies)
- Alberto Pace (CERN)
10:00 AM - 11:00 AM
The lecture presents the various Storage Models, and the supporting management techniques. The lecture will then go in details on techniques to deliver arbitrary reliability and performance and discuss the solutions for long data preservation and trading between reliability, performances and costs.
11:00 AM Coffee break
Coffee break
11:00 AM - 11:30 AM

11:30 AM Announcements
Announcements
11:30 AM - 11:45 AM
11:45 AM Data Management L2: Cryptography, authentication, authorization and accounting 1 - Alberto Pace (CERN)
Data Management L2: Cryptography, authentication, authorization and accounting 1 (Data Technologies)
- Alberto Pace (CERN)
11:45 AM - 12:45 PM
This lectures give elements of computer security that are relevant to data management. The lectures address the various cryptographic technologies used in data storage systems to ensure data encryption, integrity, confidentiality and access control. The Public Key infrastructure standard will be described as an example.
1:00 PM Lunch
Lunch
1:00 PM - 1:45 PM

2:00 PM Student presentations
Student presentations (Additional lectures)
2:00 PM - 3:30 PM

3:30 PM Coffee break
Coffee break
3:30 PM - 4:00 PM
4:00 PM Data Science - exercises - Bob Jacobsen (UC Berkeley)
Data Science - exercises (Physics Computing)
- Bob Jacobsen (UC Berkeley)
4:00 PM - 6:00 PM
The exercises provide hands-on experience in three phases: First, we reiterate some examples from lecture to give basic experience. A set of intermediate exercises then extends that to some new problem areas. Finally, students can choose of one of several larger advanced problems to work through.
7:30 PM Dinner
Dinner
7:30 PM - 8:30 PM

8:45 PM Special evening session
Special evening session
8:45 PM - 10:00 PM
Thursday, September 8, 2022
9:00 AM Data Management L3: Cryptography, authentication, authorization and accounting 2 - Alberto Pace (CERN)
Data Management L3: Cryptography, authentication, authorization and accounting 2 (Data Technologies)
- Alberto Pace (CERN)
9:00 AM - 10:00 AM
This lecture will continue the discussion on various authentication technologies and then move to authorization. Accounting will also be addressed.
10:00 AM Data Analysis L2: Probability density functions and Monte Carlo methods - Toni Sculac (University of Split)
Data Analysis L2: Probability density functions and Monte Carlo methods (Physics Computing)
- Toni Sculac (University of Split)
10:00 AM - 11:00 AM
In this lecture we will discuss what probability density functions (PDFs) are, and what are their main properties. We will mention the most important PDFs and their properties both for discrete and continuous random variables. The importance of the Gaussian distribution lies in the Central Limit Theorem that will be discussed. Finally, we will discuss the concept of Monte Carlo methods and their usage in High Energy Physics and Data Analysis.
11:00 AM Coffee break
Coffee break
11:00 AM - 11:30 AM

11:30 AM Announcements
Announcements
11:30 AM - 11:45 AM
11:45 AM Data Analysis L3: Parameter estimation and confidence intervals - Toni Sculac (University of Split)
Data Analysis L3: Parameter estimation and confidence intervals (Physics Computing)
- Toni Sculac (University of Split)
11:45 AM - 12:45 PM
In this lecture we will introduce the concept of test statistics and estimators. We will explain what are the key properties of a good estimator and how to obtain it using the Maximum Likelihood and Least Squares methods. We will define confidence intervals and make a strong statement on their statistical interpretation when discussing scientific results. Finally, we will learn how to derive confidence intervals for the Maximum likelihood and Least Squares methods.
1:00 PM Lunch
Lunch
1:00 PM - 1:45 PM

2:00 PM Free time
Free time
2:00 PM - 6:00 PM

7:30 PM Dinner
Dinner
7:30 PM - 8:30 PM
Friday, September 9, 2022
9:00 AM Data Management L4: Distributed Hash Tables, Data Replication, Caching, Monitoring, Alarms and Quota 1 - Alberto Pace (CERN)
Data Management L4: Distributed Hash Tables, Data Replication, Caching, Monitoring, Alarms and Quota 1 (Data Technologies)
- Alberto Pace (CERN)
9:00 AM - 10:00 AM
This lecture describes the various possible technologies used to implement distributed hash tables, data workflows and complex data transfer processes. It also discusses problems with data caching and Garbage Collection to conclude on monitoring and quota enforcement.
10:00 AM Guest lecture: Heterogeneous computing - Tomasz Szumlak (AGH University of Science and Technology (PL))
Guest lecture: Heterogeneous computing (Additional lectures)
- Tomasz Szumlak (AGH University of Science and Technology (PL))
10:00 AM - 11:00 AM
11:00 AM Coffee break
Coffee break
11:00 AM - 11:30 AM

11:30 AM Announcements
Announcements
11:30 AM - 11:45 AM
11:45 AM Software Security L1: Introduction - Sebastian Lopienski (CERN)
Software Security L1: Introduction (Software Engineering)
- Sebastian Lopienski (CERN)
11:45 AM - 12:45 PM
The first lecture starts with a definition of computer security and an explanation of why it is so difficult to achieve. The lecture highlights the importance of proper threat modelling and risk assessment. It then presents three complementary methods of mitigating threats: protection, detection, reaction; and tries to prove that security through obscurity is not a good choice.
1:00 PM Lunch
Lunch
1:00 PM - 1:45 PM
2:00 PM Data Analysis L4: Hypothesis testing and p-value - Toni Sculac (University of Split)
Data Analysis L4: Hypothesis testing and p-value (Physics Computing)
- Toni Sculac (University of Split)
2:00 PM - 3:00 PM
We will learn about the hypothesis testing procedure and all of its key concepts. We will discuss how to choose a critical region and learn about errors of first and second kind. We will learn the importance of a blinded analysis and understand all the needed steps before looking at the data. Finally, we will discuss when can we announce a discovery in science and the concept of a p-value.
3:00 PM Data Analysis - exercises - Toni Sculac (University of Split)
Data Analysis - exercises (Physics Computing)
- Toni Sculac (University of Split)
3:00 PM - 4:00 PM
There will be 3 sets of exercises covering basic properties of PDFs and Monte Carlo generators, Maximum Likelihood fit, and Hypothesis testing. Students will be given realistic but simplified problems where key concepts from statistics need to be applied in order to provide scientific interpretation of data. Each set of exercises consists of 5 problems that will help guide the student. Data is provided in a simple text file and can be analysed with any programming language that offers libraries for statistical analysis (Python or C++ are recommended).
4:00 PM Coffee break
Coffee break
4:00 PM - 4:15 PM

4:15 PM ㅤ
ㅤ
4:15 PM - 6:00 PM
This is a continuation of the Data Analysis exercises

7:30 PM Dinner
Dinner
7:30 PM - 8:30 PM
Saturday, September 10, 2022
9:00 AM (optional) CUDA training - Tomasz Szumlak (AGH University of Science and Technology (PL))
(optional) CUDA training
- Tomasz Szumlak (AGH University of Science and Technology (PL))
9:00 AM - 11:00 AM
**Fundamentals of Accelerated Computing with CUDA C/C++** This optional half-day course will allow you to learn how to accelerate and optimise existing C/C++ CPU-only applications to leverage the power of GPUs using innovative and modern CUDA techniques. It is also an excellent way to start working with highly optimised professional tools like Nsight integrated development environment with a graphical profiler. To start your journey with the massively parallel world, you are going to need a basic C/C++ competency, including familiarity with variable types, loops, functions, arrays, etc. This course, kindly organized by AGH University of Science and Technology (the hosting university), is offered to the participants of CSC 2022 for free (the usual fee is approximately 100 USD per person with a non-profit academic background). The promotion code which unlocks the materials and computation time in NVIDIA cloud will be given to you at the beginning of the course. The materials can be accessed and run in the cloud for approximately six months after the course. **It is possible to get an official Certificate of Competency (CoC)** issued by the NVIDIA after completing the exam session (at the end of the course day, or at any convenient time up to six months after the CSC 2022).
11:00 AM Coffee break
Coffee break
11:00 AM - 11:15 AM

11:15 AM ㅤ
ㅤ
11:15 AM - 12:45 PM
This is a continuation of the CUDA training.

1:00 PM Lunch
Lunch
1:00 PM - 1:45 PM

2:00 PM ㅤ
ㅤ
2:00 PM - 4:30 PM
This is a continuation of the CUDA training.

7:30 PM Dinner
Dinner
7:30 PM - 8:30 PM
Sunday, September 11, 2022

9:00 AM Excursion to Wieliczka salt mine + guided visit to Kraków
Excursion to Wieliczka salt mine + guided visit to Kraków
9:00 AM - 9:00 PM