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# System prepended metadata

title: ENCCS Kickoff Meeting - Training

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![training-plans](https://hackmd.io/_uploads/SJ2xY04vkl.jpg)



<p style="text-align: center"><b><font size=5 color=blueyellow>ENCCS KOM - Training - 2025</font></b></p>



:::info
**Contents of this documents and quick links**：
[TOC]
:::



## <span style="background-color: cyan">Planned training events</span>


### 2025-H2
- Sept. 9-11, CR autumn training (1st stage)
    - onsite place at KTH library
    - Ashwin, yonglei (not sept. 10), Daniel
    - several webinars will be delivered at the 2nd stage (one webinar per week from Sept. 17)
        - https://coderefinery.github.io/2025-09-09-workshop/
- Sept. 16-18, Practical machine learning
    - Yonglei
- Nov. 3-7, QAS 2025
    - brief overview by Karim & Juan
    - open questions: **LUMI-Q**, IQM-cloud, VTT system
    - HPC access: **LUMI** and Leonardo
- XXX, Build system course (led by Johan @ PDC)
    - [event webpage, 2024](https://enccs.se/events/build-systems-course-and-hackathon-2024/)
    - planning meeting will come soon
- GPU programming
    - cuda on AMD gpu
- Sept. 18, Quantum-accelerated supercomputing for materials science (Karim)
    - reschedule to oct. x
- Oct. 9, HPC workloads in the cloud – a practical intro webinar (Daniel)
    - check no. of registrations
- Juan?
- Best practice in HPC training
    - stepas 
    - samantha?


### 2026-H1

:::warning
Jan.-Mar. for AI/ML/DL
Apr.-Jun. for HPC
:::


MultiGPU AI TTT course (Castiel2)
- planning meeting on Sept. 2
- [agenda on 2024](https://docs.google.com/document/d/1ztkd5I2k40QetHLwKdnOw4d6Ub_BsrR2epV2dt0wV3E/edit?tab=t.0)






Python HPC



**Webinars**






**Events on the waiting list**

- OpenFOAM?
    - https://enccs.github.io/openfoam/
    - hopefully a PR for updated OpenFOAM material - no new content (yet), but ported to OF 12
    - Ashwin? Francesco?
- Best Practice HPC Training (Train-the-Trainer)

- GPU Programming
    - Yonglei will organize planning meetings
- OpenACC-CUDA
    - https://github.com/ENCCS/OpenACC-CUDA-beginners
    - https://github.com/ENCCS/OpenACC-CUDA-intermediate
    - https://github.com/ENCCS/openacc
    - ???
- ==MultiGPU AI Train-the-Trainers Course???==
    - ENCCS leads the organization effort
    - probably Jan. 2026
    - first meeting on Sept. 2 and repeats monthly for detailed discussion
    - yonglei & ashwin will try to update the schedule
- VASP-EMTO (webinars)
    - Yonglei will organize planning meetings
    - Weine, Wei, Karim
- Ashwin – Using MLFlow on LUMI
- Francesco – Julia and ML
- Perfomance programming
    - https://enccs.github.io/performance-programming/
    - Daniel's update






    
## <span style="background-color: gold">Regular training events</span>

Based on our training materials, we can have some (hard-core) training event and we are the main organizer for these training events.
- Julia HPDA/HPC
- Python HPDA
    - split HPDA in HPDA (new) and HPC (scientific computing & image processing)
    - HPDA in 2025H2
    - HPC in 2026H1
- Practical ML/DL
- Best Practice HPC Training
- GPU Programming
- OpenACC-CUDA
    - Pedro used to be interested in teaching/contributing
    - HPC2N material is good, especially profiling part
- QAS
- possible training events
    - c++
    - mpi
    - rust?



**Collaborate with other organizers for specific HPC applications** (everyone can be the moderator/organizer for the workshop)
- CoEs
    - MaX
    - Plasma-PEPSC
    - CEEC
    - HiDALGO2
    - BioExcel
    - ...
- CR, AaltoSciComp, *etc.*
- PDC, NAISS, *etc.*
- Research groups
    - VeloxChem
    - EMTO
- ...



For webinars, we can arrange at least one webinar (60 min + 30 min) per month. Everyone is welcome to make the contribute, either to be the presenter or invite external people for presentation.
- Programming language issues
    - Julia, Python, *etc.*
- CPU/GPU hybrid parallel programming, profiling
    - Practical Intro to GPU programming
- HPC applications
    - Gromacs, EMTO, VASP, *etc.*
- Programming tools
- Quantum computing
- ...
- ~~AI/ML/DL~~










**Other ENCCS events**

- Sept. 22-25, NeIC & EuroCC AHM @ Tallinn
    - Yonglei, Ashwin for NeIC AHM
    - Yonglei, Francesco, Karim, Erik, and Emma for EuroCC AHM
- AI4Science, AIF
    - Thor
- Oct. 22, Nordic HPC Summit 2025
    - XX





## <span style="background-color: lime">MOOC course</span>





## <span style="background-color: magenta">Github repositories -- Lesson materials</span>



### Best Practices in HPC Training
- https://enccs.github.io/instructor-training/
- pay more attention to the `TTT` lesson materials from CR: https://coderefinery.github.io/train-the-trainer/


### HPC Programming
- [Performance Programming](https://enccs.github.io/performance-programming/)
- MPI
    - [Introduction to MPI (PDC)](https://github.com/ENCCS/MPI-course/)
    - [Intermediate MPI](https://enccs.github.io/intermediate-mpi/) 



### GPU computing
- [GPU programming](https://enccs.github.io/gpu-programming/)
- [OpenMP for GPU Offloading](https://enccs.github.io/openmp-gpu/)
- Three repos for openacc & cuda:
    - https://enccs.github.io/openacc/
    - https://enccs.github.io/OpenACC-CUDA-beginners/
    - https://enccs.github.io/OpenACC-CUDA-intermediate/
    - [(Intermediate) CUDA](https://enccs.github.io/cuda/)
- [Heterogeneous programming with SYCL](https://enccs.github.io/sycl-workshop/)
- [Applications with AMD-ROCm Ecosystems](https://enccs.github.io/amd-rocm-development/)
- [HIP101 Workshop](https://enccs.github.io/HIP101/)



### High Level Language Programming (HPDA/HPC)
- Python
    - [Python for Scientific Computing (AaltoSciComp)](https://aaltoscicomp.github.io/python-for-scicomp/)
    - [High-performance Data Analytics with Python](https://enccs.github.io/hpda-python/)
- Julia
    - [Introduction to Julia](https://github.com/ENCCS/julia-intro/)
    - [Julia HPC](https://enccs.github.io/julia-for-hpc/)
    - [Julia HPDA](https://enccs.github.io/julia-for-hpda)
    - [2D Heat Equation in Julia](https://github.com/ENCCS/HeatEquation.jl)



### HPC applications

- Electronic Structures Calculations
    - [VASP Best Practices Workshop](https://enccs.github.io/vasp-best-practices/)
    - [EMTO Best Practices Workshop](https://enccs.github.io/emto-best-practices/)
- Efficient Materials Modelling
    - [QUANTUM ESPRESSO, Yambo, and BigDFT](https://enccs.github.io/efficient-materials-modelling-on-hpc/)
    - [QUANTUM ESPRESSO, SIESTA, and Yambo](https://enccs.github.io/max-coe-workshop/)
- VeloxChem
    - [VeloxChem: Quantum chemistry from laptop to HPC](https://enccs.github.io/veloxchem-workshop/)
    - [VeloxChem: quantum chemistry towards pre-exascale and beyond](https://enccs.github.io/veloxchem-hpc/)
    - [Computational Chemistry from Laptop to HPC](https://kthpanor.github.io/echem/docs/title.html)
- Molecular dyanmics simulations
    - [Gromacs GPU Performance](https://enccs.github.io/gromacs-gpu-performance/)
- CFD Calculations
    - [OpenFOAM Training Workshop](https://enccs.github.io/openfoam/)
    - [Training on Nek5000](https://enccs.se/events/training-on-nek5000/)
    - [Training on HPDA for Climate Data with Ophidia Framework (ESiWACE CoE)](https://github.com/ESiWACE/hpda-vis-training/tree/master/)
    - [Space Plasma Simulations with Vlasiator on LUMI Supercomputer](https://enccs.github.io/plasma-pepsc-workshop/)



### Programming tools
- [Introduction to cMake](https://enccs.github.io/intro-cmake/)
- [CMake](https://enccs.github.io/cmake-workshop/)
- [RISE software bootcamp](https://github.com/ENCCS/software-bootcamp)
- [CR lesson materials](https://coderefinery.org/lessons/)


### AI/ML/DL
- [Intro to Deep Learning](https://enccs.github.io/deep-learning-intro/)
    - there will be a lesson development sprint on Sept. 1
- [Upscaling A.I. with Containers](https://enccs.github.io/upscalingAI/)
    - split into 2 parts:
    - [Upscaling AI](https://enccs.github.io/upscalingAItraining/)
    - [Introduction to Containers](https://enccs.github.io/Containers/)
- [A.I. as a Tool for Change](https://www.youtube.com/watch?v=_FMnopQNF3M)
- [Graph Neural Networks and Transformers](https://enccs.github.io/gnn-transformers/)
- Hyperparameter Optimization & Distributed Training
    - [Hyperparameter Optimization using Optuna](https://enccs.github.io/hp_optimization/)
    - [Distributed PyTorch Training](https://enccs.github.io/partorch/)
- [Contemporary NLP Workshop](https://enccs.github.io/contemporary-nlp/)
- [Swedish Language Corpuses for Text-to-Speech Training with NeMo](https://github.com/ENCCS/swedish-tts/)



### Quantum computing
- [Introduction to Quantum Computing and hybrid HPC-QC systems](https://enccs.github.io/NordIQuEst-workshop/)
- [Quantum Autumn School (2023)](https://enccs.github.io/qas2023/)
- [Quantum Autumn School (2024)](https://enccs.github.io/qas2024/)



**External training materials**
- [CodeRefinery](https://coderefinery.org/)
- [NVIDIA bootcamp resources](https://github.com/ENCCS/gpubootcamp)
- [Aalto Scientific Computing](https://github.com/AaltoSciComp)
- [Awesome high performance computing](https://github.com/ENCCS/awesome-high-performance-computing)



### New lessons

==**Bootcamp for data engineer/scientist**???==
- concept from the agenda for [Scania training](https://secc.zulipchat.com/#narrow/channel/255382-Training/topic/Scania.20training)
- we had RISE software bootcamp before by virtually merging different modules, now how about to explicitly combine all modules to a module
- this module can be used either for workshops or multiple webinars


(Maybe) Have a sort of general onboarding lesson. Similar to the carpentry lesson, maybe adding a couple of sections about using Windows, etc.
- Realised that we end up saying very similar things to every company we onboard, so maybe we could have a structured script to follow.
- Can also be a sort of "internal playbook" for us to use.


### Future training events
- Suggestion: we should try the [co-teaching](https://coderefinery.github.io/train-the-trainer/co-teaching/#team-teaching-models) format, since we are many now. For example: teacher 1 shares screen and does exercises, teacher 2 focuses on the lectures. +1
- To our new members: is there anything from https://enccs.se/lessons/ that you would like to teach / co-teach?
- To all: write 3 lessons that you think you can teach / co-teach and vote via https://www.menti.com/alkq43m7c9ck




## <span style="background-color: deeppink">EVITA project related</span>

Internally restructure our time and schedules so that our commitment do not exceed the allotted PMs
- also such that the time are not all lost in meetings











## <span style="background-color: yellow">Other topics</span>

- shared calendar(s) at `nextcloud.enccs.se`
- Virtual training cluster
    - some brainstorming and setting up an action plan
- renew training allocations on LUMI & LB (other JU clusters?)
    - We currently have allocations on MN5 and MeluXina
    
    