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HSF-India Scientific Computing Workshop - IIT Hyderabad

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Speakers: Narendra Sahu (IIT Hyderabad), David Lange (Princeton University (US)), Peter Elmer (Princeton University (US)), Rafael Coelho Lopes De Sa (University of Massachusetts (US)), Verena Ingrid Martinez Outschoorn (University of Massachusetts (US))

People are the key to successful software. The HSF-India project aims to promote the development of international research software collaborations. This event is part of a series of workshops for software and data analysis skills essential for doing research software in physics. Our curriculum builds upon the successful series of workshops. 
This workshop covers

Scientific Python
Basics and applications of machine learning
Software of the DUNE experiment

This event is organized primarily for PhD students and masters students with a focus on the DUNE experiment, however, anyone is welcome to attend.  Attendees will be responsible for their own travel arrangements. Registration requests will be confirmed as space in the event allows.
The dates of this workshop are April 27 to May 1 2026. Registration is now open.  Feel free to contact us in case of questions. The registration fee for the in-person workshop is INR 2000 for students participants to partially cover the lunches and breaks. The fee will be collected after registrations have been accepted.
Learn more about the HSF-India project at http://research-software-collaborations.org. 
This event is supported by IIT-Hyderabad and the U.S. National Science Foundation grant OISE-2201990.

 

https://indico.cern.ch/event/1649043/

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HSF/IRIS-HEP Analysis Reproducibility  (Virtual)

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Speakers: Andres Rios-Tascon (Princeton University), Alexander Moreno Briceño (Universidad Antonio Nariño), Valeriia Lukashenko (University of Zurich (CH)), Richa Sharma (University of Puerto Rico (US)), Michel Hernandez Villanueva (Brookhaven National Laboratory (US))

      
We are very excited to announce a workshop on Analysis Reproducibility organised through the HEP Software Foundation and IRIS-HEP 
What is analysis reproducibility?
No one does a data analysis once. After the exploratory phase, computations that were found to be useful are formalized as reusable programs that convert input data into final results, and these programs are run over and over, with updates, as new corrections and considerations come to mind. This is a data analysis pipeline.
It is very important for a data analysis pipeline to be reproducible. After all, you want to draw conclusions about your data by running the pipeline under different conditions and seeing how the results change, but they would not be valid conclusions if running it under the same conditions also yields different results! A clean workbench is an essential part of the scientific method, and your data analysis code is part of your scientific workbench.
In addition, scientific results need to be reproducible after your experiment is done. Ensuring reproducibility during your analysis simplifies the process of preserving your analysis for future research. (This training workshop was previously called "Training on Analysis Pipelines.")
Reproducibility is a concern for software developers as well, and many of the tools that have been developed for the software industry can be applied to data analysis.
This training event is for data analysts who are already familiar with analysis tools and concepts (e.g. C++, Python, event selection, limit setting) who want to learn how to make their analysis pipelines robust using continuous testing (CI/CD) and containerization (Podman, Docker, and Apptainer). In addition, we will cover REANA, the Reproducible Research Data Analysis Platform.
It will be taught by tutors expert in HEP software. Interactive hands-on sessions led by the tutors will be supported by a number of helpers to ensure that all participants are able to follow and understand the material.
Given the limited number of participants, all participants are expected to attend the whole workshop.
This is a virtual event and no payment or travel is required for attending.  Participants are required to have their own laptop for the workshop.
All sessions will take place in the US Eastern Time zone.
Please contact the organizers (email us) in case of any questions.
What exactly will I learn?
Over four half-days we will cover the fundamentals of: 

Podman (free work-alike of Docker): Podman material
Apptainer (formerly known as Singularity): Singularity/Apptainer material
GitHub and GitLab CI/CD: GitHub material, GitLab material
REANA: material
Additional topics: lectures

Are there any prerequisites?
Yes! 

Familiarity with git (very important!)

Know how to create repositories
Know how to edit and push files
You should have an account either with github.com, gitlab.com, or gitlab.cern.ch 


Some familiarity with the Linux command line
Some familiarity with Python

Also, see Setup: do this first on the left sidebar.
Who is supporting this?
This event is supported by CERN and U.S. National Science Foundation Cooperative Agreement PHY-2323298 (IRIS-HEP).
Who is teaching this thing?
This is a hands-on training and consists of live lectures by the instructors via Zoom.  Along with this, there are mentors who will give individual attention and to debug assistance to participants via chat tools.  The people filling these roles are listed below.  
Instructors: 

Podman (Docker):

Michel Hernandez Villanueva (Brookhaven National Lab)/Alexander Moreno Briceño (Universidad Antonio Nariño)


Apptainer (Singularity):

Marco Mambelli (Fermilab)


GitHub CI/CD:

Andres Rios-Tascon (Princeton Univ)


GitLab CI/CD:

Lera Lukashenko (University of Zurich)


REANA

Tibor Simko (CERN) 



Mentors (on Slack): 

Marco Mambelli (Fermilab)
Richa Sharma (Univ of Puerto Rico Mayaguez) 
Michel Hernandez Villanueva (Brookhaven National Lab)
Alexander Moreno Briceño ( Universidad Antonio Nariño) 
Tibor Simko (CERN)



 


 

 
 






https://indico.cern.ch/event/1658598/

Zoom: https://cern.zoom.us/j/66360376183?pwd=NEc0WEN0QXIyb1hWd1YwS0dJclVKQT09

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HSF Seminar - ICFA data lifecycle panel recommendations

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The HEP Software Foundation
The HEP Software Foundation facilitates cooperation and common efforts in High Energy Physics software and computing internationally. There are several focus activity areas: Data analysis, detector simulation, physics generators, pyHEP, Julia in HEP, reconstruction and software triggers, software developer tools and packaging, and training.The HSF hosts workshops, provides strategic input and generally raises awareness on the importance of HEP software.
Sign up to HSF mailing lists here.
HSF Seminars
HSF Seminars are nominally hosted on the last Wednesday of each month. Presentations are recorded (given consent) and put on YouTube.See the full series on indico here!
Sign up to announcements for future HSF seminars as well as other HSF events by joining hsf-forum@googlegroups.com (sign up instructions).
Have a seminar topic idea? Send an email to hsf-seminar-conveners@googlegroups.com (current organisers are Nicole Skidmore, Michel Jouvin and Claire Antel)
 

https://indico.cern.ch/event/1642428/

Zoom: https://cern.zoom.us/j/65676140079?pwd=pH7VereIbjfV85ho0woMGAhFDAUmjM.1

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Python is a largely used in the scientific community for is simplicity of use. However, native Python is far from performances of compiled languages. Some computing libraries can be used to get clother to these performances. In this webinar we will present simple techniques to compute with numpy on CPU. We will also see other methods to use when numpy is not enough. In particular, just in time compiling libraries such as Numba, and multi-threading.

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Alice Faure, Nabil Garroum, Jean-Marc Colley

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HSF-India Scientific Computing Workshop - IISER Pune

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Speakers: Arka Banerjee (Indian Institute of Science Education and Research), Sourabh Shishir Dube (Indian Institute of Science  Education and Research (IN)), Subir Sarkar (Saha Institute of Nuclear Physics (IN)), Seema Sharma (Indian Institute of Science  Education and Research (IN)), Verena Ingrid Martinez Outschoorn (University of Massachusetts (US)), Rafael Coelho Lopes De Sa (University of Massachusetts (US)), Peter Elmer (Princeton University (US)), David Lange (Princeton University (US))

Preschool schedule (https://indico.cern.ch/event/1669123/)

C++ lecture 1: March 30 16:00 IST
C++ lecture 2: March 31 16:00 IST
C++ lecture 3: April 1 16:00 IST 
Git and shell: TBD (Week of April 8)
Python: TBD (week of April 8)
CMS Software (CMSSW) introduction 1: April 13
CMS Software (CMSSW) introduction 2: April 14
CMS Software (CMSSW) introduction 3: April 15

The preschool courses are optional and intended for those new to the topic. They are open to all registrations regardless of if we were able to accept your request to join our in-person event or not.
People are the key to successful software. The HSF-India project aims to promote the development of international research software collaborations. This is the 9th in a series of workshops for software and data analysis skills essential for doing research software in physics. Our curriculum builds upon the successful series of workshops. 
This workshop covers

Applications of machine learning for scientific analysis
GPU algorithm development and scientific application development
Alpaka algorithm development for HL-LHC reconstruction for the CMS experiment

This event is organized primarily for PhD students and masters students, however, anyone is welcome to attend.  We expect to be able to accommodate up to about 40 participants in the full event. In the case that we can not accept all applications, preference will be given to PhD students from the surrounding region who are engaged in programs for high-energy physics, nuclear physics, astroparticle physics and data science pursuits. 
Last date of registration is Thursday, March 12, 2026.  
Pre-school: All registered students will be invited to attend (optional) online pre-school lectures held between March 30 through April 10. The pre-school will cover topics necessary to be ready for the workshop (introductions to Python/Shell/Git/C++, etc). Participation in the in-person workshop at IISER-Pune will be by invitation only based on the registration requests received.
The registration fee for the in-person workshop is INR 3000 for students and INR 5000 for faculty participants to partially cover the lunches and breakfast. The fee will be collected after registrations have been accepted.
Accommodation charges are separate and are to be paid by participants directly at the institute guesthouse at the rate of INR 600 per night for double occupancy rooms for sudents and INR 1200 per night for single occupancy rooms for faculty.
Feel free to contact us in case of questions. Limited financial support for accommodation may be available upon request (not guaranteed right now); however, no support is available for travel expenses.
This event is supported by IISER-Pune and the U.S. National Science Foundation grant OISE-2201990.
Learn more about the HSF-India project at http://research-software-collaborations.org. 

 

https://indico.cern.ch/event/1649033/

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Python GPU computing (Cunumeric, cuPy, JAX, Pytorch)

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How to use GPU to speed up computing with Python ? In this webinar we will study possibles senarios to guide you to the library which fit your needs. We will see basic principle of each of them, and the Gray Scott summer school will give a deeper vision of their use. We will present them by level of integration :

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Alice Faure, Nabil Garroum, Jean-Marc Colley

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Speakers: Wouter Deconinck (University of Manitoba (CA)), Valentin Volkl (CERN), Valeriia Lukashenko (University of Zurich (CH)), Richa Sharma (University of Puerto Rico (US)), Andres Rios-Tascon (Princeton University), Alexander Moreno Briceño (Universidad Antonio Nariño)

Google Summer of Code is a program that allows open-source beginners to contribute to the development of open-source projects, mentored by participating organizations.
Particle physics is an exciting field where large collaborations of scientists collect and analyze petabytes of data from high-energy physics experiments, such as those at the Large Hadron Collider, hosted at the CERN laboratory in Geneva, Switzerland. Some of the questions that we collectively ask are:

What are the fundamental blocks that make up our Universe?
What is the nature of dark matter and dark energy?
What is the nature of the asymmetry between matter and antimatter?
What was early Universe like?

To answer these questions, particle physicists build software to simulate and analyze what happens in particle physics detectors.
The CERN software for experiments (CERN EP-SFT) group has participated in the GSoC since 2011. Since 2017 the program has expanded to involve the high-energy physics community under the umbrella of the HSF (HEP Software Foundation).
This year, we will hold the HSF/GSoC Training Orientation on May 11 with two main goals:


Provide context for HEP computing and how GSoC participants' work fits into the bigger picture

Provide pointers to the resources and events available through HSF Training

 
This event is open to all interns at CERN.
The workshop times are in CERN time.

https://indico.cern.ch/event/1671347/

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How to use Kokkos to develop GPU portable applications.

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Paul Zehner, Juan-José Silva Cuevas, Thomas Padioleau

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Since several years Rust is a new comer as a system language such as C and C++. Mainly used for system software development, such as some kernel modules or package manager and robotic and automation. Nowaday, the Rust ecosystem is growing, Integrated Development Environment and even game engine are developed in Rust.
This seminar will present the Rust language, its brilliant ideas and also its most stupid features and issues. We will also present common functionnalities between Rust, C++ and sometimes Python and how we use this language (in a non-conventional way) in our team at LAPP.
The idea is to show the big picture and the potential of this new language despite its young but prolific ecosystem.

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The 19th MCnet school will be held CERN.
The school provides a five-day course of training in the physics and techniques used in modern Monte Carlo event generators via a series of lectures, practical sessions, and discussions with event-generator authors. The school is aimed at advanced doctoral students and early-career postdocs. Please note that the school will take place in person only; a remote participation option will not be offered.
Our core sessions comprise a series of introductory lectures on the physics of event generators, further lectures on a wider range of associated topics, a series of hands-on tutorials using all of the MCnet event generators for LHC physics, a poster session, and evening discussion sessions with Monte Carlo authors.
This year’s theme will look ahead to the precision era of collider physics, with a focus on “FCC-ee Readiness.” Alongside the established lectures on aspects of the electroweak Standard Model, the programme will include new sessions on the experimental precision targets expected at future lepton colliders and the current status of theoretical and computational tools needed to meet them. Together, these lectures will highlight both the remarkable progress achieved and the challenges that lie ahead in preparing the Monte Carlo ecosystem for the next generation of high-precision measurements.
The full list of lectures is:

Introduction to Event Generators - Simon Plätzer, Graz
Parton Showers, Matching and Merging - Silvia Ferrario Ravasio, Torino
Aspects of the EW Standard Model - Stefan Dittmaier, Freiburg
Precision Requirements and Opportunities at FCC-ee - Sarah Williams, Cambridge
Readiness of the MC Tools for the Sub-Per-Mille Frontier - Jürgen Reuter, DESY
Model-Independent Measurements - Andy Pilkington, Manchester
Event Generators for Heavy Ion Collisions - Leif Lönnblad, Lund
Modern Computing Paradigms - Enrico Bothmann, CERN
Machine Learning and Event Generators - Michael Spannowsky, Karlsruhe
Simulating Human Behaviour for Decision-Making in Complex Systems - Joseph Bullock, United Nations
Invisible Dimensions of Diversity - Louise Carvalho, CERN Diversity & Inclusion Programme

Tutorials:

Computing on GPUs - Enrico Bothmann (CERN)
Herwig - Siddharth Sule (Manchester), Andreas Papaefstathiou (Kennesaw)
Pythia - Leif Lönnblad (Lund), Ilkka Helenius (Jyväskylä), Albi Kerbizi (Trieste)
Sherpa - Zara Graham-Jones (Durham), Daniel Reichelt (CERN), Peter Meinzinger (Zürich)
Write your own Parton Shower - Daniel Reichelt (CERN), Joanne Roper (Durham), Silvia Ferrario Ravasio (Torino)
MadGraph+Rivet+Contur - Andy Buckley (Glasgow), Theo Heimel (Louvain), Ramon Winterhalder (Milano), Luca Beccatini (Louvain)

Registration procedure:
Submit your registration by filling the form in the Registration page. Please note that a supporting reference from your supervisor is required if neither you nor your supervisor is a core MCnet member. An email reference is sufficient, but it must confirm the home institute’s willingness to cover the participant’s travel and registration fees (unless a bursary is requested). You will receive Instructions for sending the email reference automatically after registration.
The deadline for registrations (including supporting references) is April 15.
The deadline for payments is April 30.
Participants will be selected on a first-come, first-served basis upon receipt of a satisfactory supervisor reference. Applicants will be notified of the outcome as soon as possible thereafter.
Please do not make travel arrangements until you have received a confirmation of acceptance, as we may not be able to accommodate all applicants.
Once your registration has been approved, you will receive further instructions, including details on payment of the registration fee (CHF 100).
If a bursary is requested, the supervisor’s supporting email reference should briefly explain the financial circumstances motivating the request.
Organised by:

 
 
 
 
 
 Sponsors:
This year's school has received funds by the LHC Physics Center at CERN (LPCC) and the Eric & Wendy Schmidt Fund for Strategic Innovation through the CERN Next Generation Triggers project under grant agreement number SIF-2023-004.

 
 

https://indico.cern.ch/event/1573048/

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International School of Trigger and Data Acquisition