SiNOG (Slovenian Network Operators Group) je neodvisna skupnost, ki združuje omrežne strokovnjake različnih področij. Ustanovljena je bila z namenom povečati kakovost, učinkovitost, stabilnost in varnost slovenskih omrežij in omrežnih storitev ter dejavno vzpodbujati izmenjavo idej, znanja in dobre prakse med strokovnjaki v Sloveniji ter širše. Srečujemo se na letnem srečanju in tematskih delavnicah. Osrednji dogodek skupnosti je letno SINOG srečanje, ki bo letos že deveto po vrsti.
Ker cenimo in spoštujemo vaš čas smo se tudi letos na vašo željo odločili, da strnemo vsa predavanja na eno popoldne in vam tako omogočimo lažjo udeležbo na vseh predavanjih SINOG srečanja.
SiNOG 9.0 srečanje nadaljuje dobro prakso predhodnih IPv6 in SINOG srečanj in združuje visoko-tehnološka predavanja vrhunskih mednarodnih in domačih strokovnjakov o aktualnih izzivih, reševanju le-teh in kratke predstavitve dosežkov domačih podjetij in organizacij.
Kje: Fakulteta za Elektrotehniko, Tržaška c. 25, 1000 Ljubljana (Google Maps) Organizatorji:Upravni odbor SINOG, LTFE in Arnes Kdaj: 16. september 2025 Cena udeležbe: brezplačno Omejitev udeležencev: 150 (prijava je obvezna; po zapolnitvi kapacitet bo uvedena čakalna lista)
The most recent searches by the LHC collaborations in final states with soft leptons and missing transverse energy show mild excesses which can result from decays of electroweakinos featuring a compressed spectrum. We demonstrate that while recent searches in the monojet channel can exclude some of the associated parameter space regions, they exhibit overlapping excesses in certain models, including a simplified scenario with pure higgsinos. We further explore an array of models that go beyond the simplified scenarios considered by the experimental collaborations, and show that the excesses persist in realistic supersymmetric models featuring a bino-like lightest supersymmetric particle with some wino admixture. On the other hand, for the Next-to-Minimal Supersymmetric Standard Model with a singlino-like lightest supersymmetric particle and higgsino-like next-to-lightest supersymmetric particles, the excess in the two-lepton channel fits rather well with the parameter space predicting the correct relic abundance through freeze out, but the monojet fit is much poorer. Interestingly, the excesses either do not overlap or do not exist at all for two non-supersymmetric models seemingly capable of producing the correct final states.
Overview: LAPP, as part of the ESCAPE Collaboration work programme, and in collaboration with the CC-FR Competence Centre is organizing the third Gray Scott summer school from 23 June to 4 July 2025. This summer school on High Performance Computing, in a unique format and entirely free of charge, will be dedicated to programming and optimization on Heterogeneous Architectures.
The school will cover the optimisation of computations on different types of hardware (CPU, GPU), presenting their respective characteristics, architectures and bottlenecks. It will cover generic optimisation methods applicable to all types of hardware, as well as the various libraries, technologies and languages available to achieve the best possible performance. Ideally, the peak performance of the machine.
Hardware: CPU, GPU
Languages considered: C++17, C++20, CUDA, Fortran, Rust, Python, Julia
Profiling tools: Valgrind, Maqao, Perf, NSight, Malt and NumaProf
All the methods will be illustrated on simple examples, such as Hadamard products, reductions, barycentre calculations and matrix products, in order to be applied to a single problem: the simulation of a Gray Scott reaction.
This problem is simple enough to be understood quickly and complex enough for compilers to have difficulty optimising it without help. Each method will be broken down into a simple version, using default options, and one or more advanced versions, which will allow their advantages and disadvantages to be discussed and quantified.
NCC Slovenia is offering a distance learning in Ljubljana, where one of the various satellites in Europe will take place.
The satellite will take place in hybrid format - the speakers will be present in France, and will stream via Zoom. Our lecturers will be in the room to help participants with access and implementation. At the same time, there will be a discord next to it, where the discussion will take place.
Date and location:
23.6., 24.6., 26.6 - 4.7.2025 Faculty of Mechanical Engineering, Aškerčeva c. 6, (Room II/3B)
25. 6. 2025 IJS - Teslova ulica 30, 1000 Ljubljana,
Overview: Together with NVIDIA and OpenACC organization, EuroCC2 will host a virtual Profiling AI Software Bootcamp on July 10, 2025.
The Profiling AI Software Bootcamp covers the process and tools needed to profile AI and machine learning applications to fully utilize high-performance systems. Attendees will learn to profile applications using NVIDIA Nsight™ Systems, a system-wide performance analysis tool; analyze and identify optimization opportunities; and improve performance of applications to scale efficiently across systems of any quantity or size of CPUs and GPUs. Additionally, this bootcamp will walk through the system topology to learn the dynamics of multi-GPU and multi-node connections and architecture.
People who complete the bootcamp are encouraged to apply to participate in the upcoming EuroCC AI Hackathon, which will be open for applications shortly.
Due to EuroCC2 regulations, generic or private email addresses cannot be accepted. Please use your official university or company email address to prove your affiliation when applying.
Application Deadline: 16th June 2025
Prerequisites: Basic experience with Python programming and PyTorch distributed training.
Event format: This bootcamp will be hosted online in Central European Summer Time (CEST). All communication will be through Zoom, Slack and email.
Compute Resources: Attendees will be given access to a GPU cluster for the duration of the bootcamp.
Description: In the three-day course, the use of the OpenFOAM software package, which is currently the most developed open-source CFD system, will be demonstrated. As the name itself suggests, it is an open-source system that any user can enhance according to their needs. Initially, the use of ParaVIEW, a graphical environment for visually reviewing and processing data from OpenFOAM, will be shown. This will be followed by an explanation of how the OpenFOAM environment, with demonstrations of simple examples. Since the foundation of CFD is the mesh, the use of three open-source mesh generators will be demonstrated: GMSH, BlockMesh, and SnappyHexMesh. Subsequently, the application of various areas within the OpenFOAM environment will be explained and demonstrated, including:
Fluid transport
Transient simulations
Transient data processing (animation, particles in flow)
Multiphase flows
Multi-region simulation (Multi-region)
Running cases in an HPC system utilizing OpenFOAM's parallel capabilities
Difficulty: Advanced
Language: According to applications
Date and time: Day 1 from: 9:00 - 13.00 Day 2 from: 9:00 - 13:00 Day 3 from: 9:00 - 13.00
Max. number of participants: 30
Virtual location: ZOOM
Prerequisite knowledge: The basics of the Linux operating system and the basics of fluid mechanics and Python programming.
Target audience: The training is aimed at students and staff in academia and industry who want to learn more about the OpenFOAM open source CFD platform.
Workflow: The training is on-line, in the mornings. The interactive work is done via remote access to the HPC system at ULFS.
After the workshop you wil:
Be able to connect to HPC@ULFS with NoMachine client and work in HPC Linux environment
Understand the theoretical background of the Computational Fluid Mechanics (CFD), especially of the Finite Volume Method (FVM)
Be able to set up CFD mesh using different open source programs for CFD mesh design (OF – Block Mesh, GMSH)
Be able to setup complete OF case (mesh, pysical model, inital and boundary conditions, ...)
Be able to setup and run various OF cases in parallel on an HPC cluster
Be able to preview and post-process OF results
Organiser:
Lecturers:
Ime:
Dr. Aleksander Grm
Opis:
Aleksander Grm graduated with a Bachelor's degree in Physics from the Faculty of Mathematics and Physics at the University of Ljubljana. He then completed a Master's degree in Applied Mathematics at ICTP/SISA in Trieste, Italy. After the MSc, he continued his studies at the University of Kaiserslautern in Germany and obtained a PhD in Industrial Mathematics. After the PhD, he worked partly in academia and fully in industry. In 2014, he moved to the University of Ljubljana to work in basic and applied research and to teach young people mechanics and mathematics at the engineering level.
He is a research assistant at ULFE and is well qualified for several HPC related topics. He is actively involved in efforts to raise competencies in the field of supercomputing, such as the Partnership for Advanced Computing in Europe (PRACE). He is also coordinator of Erasmus + project SCtrain - a strategic partnership for the transfer of knowledge from supercomputing between Slovenia, Austria, the Czech Republic and Italy. As part of the EuroHPC project for the establishment of European National Competence Centers in the field of supercomputing (EuroCC), he is the champion for Training and Skills Development for NCC Slovenia.
Four-day intensive training for early-stage researchers:
When: 22. - 26. September 2025
Where: University of Nova Gorica, Gorica, Slovenia (campus Rožna Dolina: map)
This workshop is tailored for PhD students and early-career scientists eager to learn how to discover and engineer nanobodies — single-domain antibody fragments derived from camelid heavy-chain antibodies.
Participants will engage in a program consiting of lectures, hands-on laboratory sessions, and interactive computational tutorials. You will learn to identify nanobody candidates both in silico (using computational tools) and in vitro (through wet-lab panning techniques).
🔬 What You’ll Learn
How nanobody libraries are constructed, characterized, and screened
Computational workflows to model, rank, or design nanobody candidates
Hands-on training with phage display and wet-lab selection of antigen binders
🎯 Who Should Apply?
This workshop is open to PhD students with a basic background in biochemistry, molecular biology or related fields. It’s ideal for researchers ready to integrate nanobody discovery into their work—computationally, experimentally or both. We will select participants based on their submitted abstract and motivation letter. To encourage learning from each other, all accepted participants are expected to deliver a 10-minute short presentation in the daily PhD2PhD sessions. Successful applicants will be notified and asked to pay a €300 registration fee (see FAQ for what is included).
🧠 PhD2PhD Session
Each registered participant presents either their current PhD project as it relates to nanobody research or a method/idea they plan to adopt. Talks are strictly 10 minutes, followed by a moderated discussion with peers and lecturers. Participation in these sessions is a requirement of registration.
🤝 Collaboration & Networking
The program includes informal discussion rounds, dedicated networking events, and social activities designed to foster connections and future collaborations.
In this talk, I will illustrate two recent results of our group concerning the statistical physics of branched polymers. In the first part, I will present a graph theoretical approach to the configurational statistics of random tree-like objects, which is based on Prüfer labelling. The method, in particular, provides: (i) direct access to the exact configurational entropy as a function of the tree composition, (ii) computable exact expressions for partition functions and important experimental observables for tree ensembles with controlled branching activity and (iii) an efficient sampling scheme for corresponding tree configurations and arbitrary static properties. Then, in the second part, I will introduce a field-theoretic framework for branched polymers with excluded volume interactions. By solving the corresponding partition function by mean-field methods, I will show that the theory is in semi-quantitative agreement with Monte-Carlo computer simulations.
The trilateral meetings are a series of one day events designed to strengthen the scientific relations in particle, astroparticle physics and cosmology between Trieste, Nova Gorica and Ljubljana.
Venue
Teslova E-classroom, 1st floor (rooms 38 and 39) on Teslova 30 in Ljubljana, near the Jožef Stefan Institute
Description: In this seminar, we explore practical strategies for running legacy and modern scientific code—originally developed for the CPU—on the NVIDIA Grace Hopper superchip.
Focusing on Fortran, C, and C++ projects that compile cleanly with GCC, we will examine how to leverage NVIDIA’s HPC SDK to ensure performance portability (and gain), highlight common pitfalls, and discuss compatibility quirks between toolchains. Real-world examples will guide the discussion, making it relevant for researchers looking to transition their workloads to heterogeneous architectures.
Difficulty: Intermediate
Date & Time: 20. 5. 2025 from 14.00 to 15.00
Language: English
Prerequisite knowledge: /
Virtual location: ZOOM (only registered participants will see ZOOM link)
Organizer:
Lecturer:
Name:
Luka Leskovec
Description:
Scientist and educationalist involved in theoretical physics and supercomputing
Overview: Together with NVIDIA and OpenACC organization, EuroCC2 will be hosting an AI for Science Bootcamp, beginning on 27th May and concluding on 28th May.
The End-to-End AI for Science Bootcamp provides a step-by-step overview of the fundamentals of deep neural networks, walks attendees through the hands-on experience of building and improving deep learning models using a framework that uses the fundamental laws of physics to model the behaviour of complex systems, and enables attendees to visualize the outputs of the trained model.
This online bootcamp is a hands-on learning experience where you will be guided through step-by-step instructions with teaching assistants on hand to help throughout.
Appication Deadline: April 25th, 2025
Prerequisites: Mathematical background in Differential equations, Python proficiency, and familiarity with deep learning fundamentals and frameworks are required.
Event format: The AI for Science Bootcamp will be hosted online in the time zone of the hosting organization (CEST). All communication will be done through Zoom, Slack and email.
Date and time:
27 May 2025, 9:00 AM – 12:30 PM – Day 1
28 May 2025, 9:00 AM – 12:30 PM – Day 2
Compute Resources: Attendees will be given access to a GPU cluster for the duration of the bootcamp.
Description: In the three-day course, the use of the OpenFOAM software package, which is currently the most developed open-source CFD system, will be demonstrated. As the name itself suggests, it is an open-source system that any user can enhance according to their needs. Initially, the use of ParaVIEW, a graphical environment for visually reviewing and processing data from OpenFOAM, will be shown. This will be followed by an explanation of how the OpenFOAM environment, with demonstrations of simple examples. Since the foundation of CFD is the mesh, the use of three open-source mesh generators will be demonstrated: GMSH, BlockMesh, and SnappyHexMesh. Subsequently, the application of various areas within the OpenFOAM environment will be explained and demonstrated, including:
Fluid transport
Transient simulations
Transient data processing (animation, particles in flow)
Multiphase flows
Multi-region simulation (Multi-region)
Running cases in an HPC system utilizing OpenFOAM's parallel capabilities
Prerequisite knowledge: The basics of the Linux operating system and the basics of fluid mechanics and Python programming.
Target audience: The training is aimed at students and staff in academia and industry who want to learn more about the OpenFOAM open source CFD platform.
Workflow: The training is on-line, in the mornings. The interactive work is done via remote access to the HPC system at ULFS.
After the workshop you wil:
Be able to connect to HPC@ULFS with NoMachine client and work in HPC Linux environment
Understand the theoretical background of the Computational Fluid Mechanics (CFD), especially of the Finite Volume Method (FVM)
Be able to set up CFD mesh using different open source programs for CFD mesh design (OF – Block Mesh, GMSH)
Be able to setup complete OF case (mesh, pysical model, inital and boundary conditions, ...)
Be able to setup and run various OF cases in parallel on an HPC cluster
Be able to preview and post-process OF results
Organiser:
Lecturers:
Ime:
Dr. Aleksander Grm
Opis:
Aleksander Grm graduated with a Bachelor's degree in Physics from the Faculty of Mathematics and Physics at the University of Ljubljana. He then completed a Master's degree in Applied Mathematics at ICTP/SISA in Trieste, Italy. After the MSc, he continued his studies at the University of Kaiserslautern in Germany and obtained a PhD in Industrial Mathematics. After the PhD, he worked partly in academia and fully in industry. In 2014, he moved to the University of Ljubljana to work in basic and applied research and to teach young people mechanics and mathematics at the engineering level.
He is a research assistant at ULFE and is well qualified for several HPC related topics. He is actively involved in efforts to raise competencies in the field of supercomputing, such as the Partnership for Advanced Computing in Europe (PRACE). He is also coordinator of Erasmus + project SCtrain - a strategic partnership for the transfer of knowledge from supercomputing between Slovenia, Austria, the Czech Republic and Italy. As part of the EuroHPC project for the establishment of European National Competence Centers in the field of supercomputing (EuroCC), he is the champion for Training and Skills Development for NCC Slovenia.
Scaling applications to multiple GPUs across multiple nodes requires one to be adept at not just the programming models and optimization techniques, but also at performing root-cause analysis using in-depth profiling to identify and minimize bottlenecks. In this Bootcamp, participants will learn to improve the performance of an application step-by-step, taking cues from profilers along with the ways.
Please ensure you meet all prerequisites/eligibility before you apply.
Important dates 19 May 2025 – Application Deadline 2 June 2025 – Notification about Acceptance 16 June 2025, 14:00 – 15:00 (CEST) – Cluster Dry Run 17 June 2025, 09:00 – 15:00 (CEST) – Day 1 18 June 2025, 09:00 – 13:30 (CEST) – Day 2
Course format This course will be delivered as a live online course on Zoom. All communication will be done through Zoom, Slack, and email.
Hands-on labs Attendees will be given access to an A100 GPU on one of the organizers' supercomputers.
Lecturers Event Moderators: Marta Maj & Klemens Noga (Cyfronet & EuroCC Poland)
Heavy non-annihilating dark matter captured by neutron stars can trigger collapse into low-mass black holes, producing subsolar-mass mergers detectable by gravitational wave observatories. These events probe dark matter-nucleon interactions at cross-sections below the neutrino floor and dark matter masses from GeV to PeV. Existing LIGO/Virgo data already place strong bounds; future detections could reveal dark core collapse and explain anomalies like the missing pulsars near the Galactic Center. I will discuss how to distinguish low-mass black holes from neutron stars via gravitational wave signatures, and how this affects sensitivity to dark matter.
Kratek opis: Udeleženci bodo spoznali odprtokodno ogrodje NVIDIA RAPIDS, ki vsebuje knjižnice za strojno pospešeno delo s podatki in strojno učenje. Predstavljena bo arhitektura ogrodja NVIDIA RAPIDS s poudarkom na knjižnicah cuDF, cuML in cuGraph. Udeleženci bodo na primerih preizkusili ogrodje NVIDIA RAPIDS in ga primerjali z rešitvami brez pospeševanja (knjižnici scikit-learn in NetworkX). V sklopu primerjave bodo na srednje veliki podatkovni zbirki naučili klasifikator in spoznali prednosti strojnega pospeševanja za potrebe strojnega učenja.
Podrobnejši opis:V tej delavnici bodo udeleženci spoznali odprtokodno ogrodje NVIDIA RAPIDS, ki omogoča strojno pospešeno obdelavo podatkov in izvajanje strojnega učenja ter napredne analize grafov, vse s ciljem hitrejšega izvajanja obdelav na velikih podatkovnih zbirkah. NVIDIA RAPIDS vključuje vrsto knjižnic, zasnovanih za izrabo zmogljivosti grafičnih procesorjev, ki omogočajo pospešeno analitiko in strojno učenje na obsežnih podatkih.
V sklopu delavnice bo podrobno predstavljena arhitektura ogrodja NVIDIA RAPIDS, pri čemer bo poudarek na treh ključnih knjižnicah: cuDF za hitro obdelavo podatkov, cuML za strojno učenje ter cuGraph za analizo grafov. Udeleženci bodo spoznali, kako te knjižnice omogočajo hitrejšo in učinkovitejšo obdelavo podatkov, v primerjavi s tradicionalnimi rešitvami, ki ne izkoriščajo pospeševanja, kot so scikit-learn za strojno učenje in NetworkX za analizo grafov.
Delavnica bo obsegala praktične primere, kjer bodo udeleženci primerjali izvajanje nalog strojnega učenja in analize grafov na srednje veliki podatkovni zbirki, pri čemer bodo uporabili NVIDIA RAPIDS in primerjali rezultate z rešitvami, ki temeljijo na CPE. Udeleženci se bodo naučili, kako hitro naučiti klasifikatorje na GPE ter raziskali prednosti strojnega pospeševanja pri obdelavi in analizi podatkov v primerjavi s tradicionalnimi pristopi. To bo udeležencem omogočilo boljše razumevanje prednosti uporabe ogrodja NVIDIA RAPIDS v realnih projektih strojnega učenja in podatkovne znanosti.
Zahtevnost: Napredna
Jezik: Slovenski
Termin: 22. 1. 2024 od 9.00 - 13.00
Omejitev števila udeležencev: 30
Virtualna lokacija: MS TEAMS
Priporočeno predznanje: Osnovno poznavanje programskega jezika Python, osnovno poznavanje knjižnic scikit-learn in NetworkX
Potek izobraževanja: Izobraževanje poteka na daljavo v okolju MS Teams. Udeleženci sodelujejo s pomočjo zvezkov Jupyter, ki jih odprejo na platformi Google Colab.
Na izobraževanju pridobljena znanja:
Razumevanje arhitekture ogrodja NVIDIA RAPIDS
Uporaba osnovnih in naprednih funkcij knjižnic cuDF, cuML in cuGraph
Obdelava podatkov na grafični kartici (cuDF)
Strojno pospeševanje algoritmov strojnega učenja (cuML in scikit-learn)
Strojno pospeševanje algoritmov za delo z grafi (cuGraph in NetworkX)
Uporaba ogrodja NVIDIA RAPIDS v praksi (priporočanje filmov in vektorsko iskanje)
Organizator:
Predavatelji:
Ime:
Mladen Borovič
Opis:
Mladen Borovič je asistent na Fakulteti za elektrotehniko, računalništvo in informatiko Univerze v Mariboru (UM FERI). Njegova raziskovalna področja so aplikacije umetne inteligence, priporočilni sistemi in iskalnike, sistemi za detekcijo podobnih vsebin, obdelava naravnega jezika in visokozmogljivo računalništvo.
Abstract: Panoptic segmentation provides a comprehensive understanding of visual scenes by assigning each pixel a semantic class label and, for objects, an instance ID. While highly effective, traditional methods rely heavily on large-scale annotated datasets, posing significant challenges for scalability and adaptability. Additionally, the process of annotating images with panoptic labels is both labor-intensive and time-consuming, highlighting the importance of label-efficient approaches. In this talk, I will present an overview of various label-efficient methods, focusing on my recent work in unsupervised domain adaptation and semi-supervised learning. I will also discuss the emerging field of open-vocabulary panoptic segmentation, which extends recognition capabilities to categories beyond the training taxonomy.
Lecturer: Josip Šarić, PhD
Short info on the lecturer: Josip Šarić is a postdoctoral researcher at the Faculty of Computer and Information Science, University of Ljubljana, supported by the SMASH postdoctoral program. Prior to this, he completed a PhD and two-year postdoc at the Faculty of Electrical Engineering and Computing, University of Zagreb. His research interests focus on computer vision and deep learning, with a particular emphasis on topics such as panoptic segmentation, open-vocabulary recognition, label-efficient learning, and related areas.
Opis: Raziskovalci se pogosto soočajo z zahtevnimi računskimi izzivi, kot so analiza obsežnih podatkov, fizikalne simulacije, računska kemija, biologija, napovedovanje vremena, simulacije dinamike tekočin in podobno. Za reševanje teh izzivov se pogosto zatekajo k programskemu jeziku Python, ki ponuja bogato paleto knjižnic in orodij. Njegova slabost pa je lahko počasnost izvajanja, če ne uporabimo primernih pristopov k programiranju.
Na delavnici se bomo osredotočili na orodja in knjižnice v Pythonovem ekosistemu, s katerimi lahko izkoristimo računsko moč sodobnih večjedrnih procesorjev ter grafičnih pospeševalnikov v superračunalniškem okolju. Obravnavali bomo različne probleme, od operacij nad matrikami do učenja globokih nevronskih mrež, in poiskali ustrezne rešitve k pohitritvi izvajanja.
Zahtevnost: Napredna
Jezik: Slovenski
Termin: 06. 02. 2025 od 10.00 - 16.00
Omejitev števila udeležencev: 30
Lokacija:
Fizična (Univerza v Ljubljani, Fakulteta za računalništvo in informatiko, Večna pot 113, Ljubljana, Predavalnica P19)
ZOOM
Ciljna publika:raziskovalci, inženirji, študenti, vsi ki potrebujejo več računskih virov pri svojem delu
Zaželeno predhodno znanje:
opravljena delavnica Osnove superračunalništva,
razumevanje zgradbe računalniške gruče,
delo preko odjemalca SSH (ukazna vrstica, prenašanje datotek),
osnovno poznavanje vmesne programske opreme Slurm,
osnovno znanje operacijskega sistema Linux in lupine Bash,
osnovno poznavanje programskega jezika Python.
Na izobraževanju pridobljena znanja:
Uporaba programskega jezika Python v superračunalniškem okolju
Uporaba knjižnic za vzporedno računanje v (RAPIDS, numba)
Uporaba knjižnice za porazdeljeno računanje DASK
Globoko učenje na superračunalniški gruči s knjižnico PyTorch
»International Masterclasses« iz fizike osnovnih delcev nudijo gimnazijcem enkratno priložnost, da se sami spoznajo s svetom kvarkov in leptonov, tako da izvedejo meritve na podatkih, zajetih pri eksperimentih v CERNu in drugih raziskovalnih centrih po svetu, da se srečajo z raziskovalci in se povežejo s svojimi vrstniki – dijaki iz drugih držav - in z njimi pregledajo rezultate ter izmenjajo mnenja.
Dijaki bodo na enodnevnem dogodku s predstavitvami in delavnico, kjer bodo uporabili podatke, zajete z detektorjema ATLAS in Belle II, spoznavali osnovne delce in sile, ki delujejo med njimi, ter uporabo tovrstnih delcev v sodobnih metodah zdravljenja s hadronsko radioterapijo.
Celodnevni dogodek bo potekal na Institutu Jožef Stefan v Ljubljani. Dopoldne bomo raziskovalci z Instituta Jožef Stefan v Ljubljani, Fakultete za matematiko in fiziko Univerze v Ljubljani in Fakultete za kemijo in kemijsko tehnologijo Univerze v Mariboru predstavili fiziko osnovnih delcev, medicinsko fiziko in detektorje, ki jih uporabljamo pri naših raziskavah.
Na virtualnem sprehodu si bomo ogledali notranjost detektorja Belle II, vmes pa bo obilo priložnosti za pogovor z raziskovalci o tem, kako raziskujejo in kako preživljajo svoj čas v CERNu in na Japonskem. Izvedeli bomo lahko tudi nekaj več o tem, kakšne so povezave med raziskavami zgradbe vesolja in uporabo odkritij v medicinske namene. Ob koncu jutranjega dela delavnice bodo udeleženci prisluhnili še kratki predstavitvi enega od naših poslovnih partnerjev.
Kosilo za udeležence delavnice je predvideno v menzi Instituta Jožef Stefan. Za plačilo kosila (okoli 7 EUR) poskrbijo udeleženci sami.
Po kosilu se bomo na popoldanski delavnici lotili iskanja neznanih kratkoživih delcev z uporabo podatkov, ki so bili zajeti z detektorjema ATLAS in Belle II. Ogledali si bomo simulacijo radioterapije ter izbrali obsevalni načrt, ki bo učinkovito zavrl rast tumorja, pri tem pa obvaroval občutljive organe in obolelo tkivo. Po odkritjih se bomo skupaj z dijaki iz drugih raziskovalnih centrov po svetu povezali s kontrolno sobo eksperimentov v video konferenci.
Vabimo te, da se udeležiš poučnega in zabavnega dogodka. Dogodek bomo izpeljali v živo na Institutu Jožef Stefan.
Mineral detectors have been proposed for a wide variety of applications, including searching for dark matter, measuring various fluxes of astrophysical neutrinos over gigayear timescales, monitoring nuclear reactors, and nuclear disarmament protocols; both as paleo-detectors using natural minerals that could have recorded the traces of nuclear recoils for timescales as long as a billion years and as detectors recording nuclear recoil events on laboratory timescales using natural or artificial minerals.
At this workshop, we will discuss the vast physics potential of mineral detectors, the progress in experimental studies, and the numerous challenges lying ahead on the path towards mineral detection. These include a better understanding of the formation and annealing of recoil defects in crystals; identifying the best classes of minerals and, for paleo-detectors, understanding their geology; modeling and control of the relevant backgrounds; developing, combining, and scaling up imaging and data analysis techniques; and many others.
List of Cofirmed Speakers
Alexey Elykov
KIT
Noriko Hasebe
Kanazawa U.
Atsuhiro Umemoto
KEK
Patrick Huber
Virginia Tech
Ayuki Kamada
Warsaw U.
Patrick Stengel
Jozef Stefan Institute
Christopher Kelso
U. of North Florida
Samuel Wong
Stanford U.
Claudio Galelli
INFN Milan
Shigenobu Hirose
JAMSETC
Daniel Ang
U. of Maryland
Shunsaku Horiuchi
Science Tokyo
Emilie LaVoie-Ingram
U. of Michigan
Takahiro Yokoyama
JAMSTEC
Igor Jovanovic
U. of Michigan
Takenori Kato
Nagoya U.
Joseph Bramante
Queen's U.
Tatsuhiro Naka
Toho U.
Kai Sun
U. of Michigan
Vsevolod Ivanov
Virginia Tech
Kohta Murase
Penn State U.
Wen Yin
Tokyo Metropolitan U.
Natsue Abe
JAMSTEC
William McDonough
Tohoku U.
Noriaki Sakuri
JAMSTEC
During the last years, the MDvDM community has grown rapidly and gained attention. Small-scale experimental efforts focused on establishing various microscopic readout techniques are underway at institutions in Asia, Europe and North America. The third MDvDM workshop will bring together theoretical and experimental physicists, material scientists, and geologists to discuss the state of the art of the emerging field of Mineral Detection of Neutrinos and Dark Matter.
Dnevi odprte znanosti 2024 in EOSC tripartitni dogodek – Odpiramo vrata prihodnosti znanosti z nacionalnim tripartitnim dogodkom EOSC!
Na Dnevnih odprte znanosti in Nacionalnem tripartitnem dogodku bomo gostili predstavnike Združenja EOSC, Evropske komisije, držav članic EU ter ključne domače in mednarodne strokovnjake s področja odprte znanosti, infrastrukture in vrednotenja znanosti. Potekali bodo od 3. do 5. decembra 2024 v hoteluFour Points by Sheraton Ljubljana (Mons) v okviru Arnesove konference "Mreža znanja".
Prav tako bo v sklopu konference potekal tudi Dan občanske znanosti 2024. Poslanstvo odprte znanosti je odkrivanje novih znanstvenih spoznanj, hkrati pa tudi deljenje tega znanja med različnimi deležniki.
Na dogodke, ki bodo organizirani v sklopu Arnesove letne konference Mreža znanja, se je potrebno prijaviti.
Spremljali boste lahko tudi prek video prenosov v živo.
Spoznajte Slovensko superračunalniško omrežje (SLING) ter se seznanite z aktualnostmi s področja superračunalništva v Sloveniji in širše v Evropi.
Pester program vključuje predstavitve delovanja Nacionalnega kompetenčnega centra za superračunalništvo in centrov odličnosti na področju superračunalništva. Prav tako bomo predstavili primere učinkovite rabe zmogljivih superračunalnikov v industriji in akademski svetu ter razložili možnosti dostopa do teh sistemov za različne uporabnike.
Poleg tega boste lahko "Dan slovenskega superračunalniškega omrežja" spremljali tudi prek prenosa v živo.
Pridružite se nam in poglobite svoje razumevanje sveta superračunalništva.
Projekt EuroCC 2 financira Evropsko Skupno podjetje za evropsko visokozmogljivo računalništvo (JU) v okviru sporazuma o dodelitvi sredstev št. 101101903. JU podpirajo program Digitalna Evropa, Nemčija, Bolgarija, Avstrija, Hrvaška, Ciper, Češka republika, Danska, Estonija, Finska, Grčija, Madžarska, Irska, Italija, Litva, Latvija, Poljska, Portugalska, Romunija, Slovenija, Španija, Švedska, Francija, Nizozemska, Belgija, Luksemburg, Slovaška, Norveška, Turčija, Republika Severna Makedonija, Islandija, Črna gora in Srbija. Delovanje Nacionalnega kompetenčnega centra SLING sofinancira Ministrstvo za visoko šolstvo, znanost in inovacije.
Following last year’s successful event, we invite you to join us again for the Open Science Day, taking place from the 3rd to 5th of December 2024.
The first day, December 3rd, will focus on international discussions and will be held in English. It will feature prominent guests, including representatives from the EOSC Association, the European Commission, EU member states, and experts in open science, infrastructure, and science evaluation. The event will run from 9:00 to 17:40.
The second day, December 4th, will focus on national topics and will be held in Slovene from 9:00 to 14:30.
The event will take place as part of the Mreža znanja conference at the Four Points by Sheraton Ljubljana (Mons), where the Citizen Science Day and Supercomputing Day will also be held.
We would like to invite you to the "Slovenian Supercomputing Network Days" or "SLING Days", which will take place at the Four Points by Sheraton Ljubljana Mons Hotel.
Get to know the Slovenian Supercomputing Network (SLING) and learn about the latest developments in supercomputing in Slovenia and Europe.
The varied program includes presentations on the activities of the National Competence Center for Supercomputing and Centers of Excellence in Supercomputing. We will also present examples of effective use of powerful supercomputers in industry and academia, and explain the possibilities of access to these systems for different users.
Registration is required for this event, which is part of the EuroCC 2 project and the ARNES conference "Mreža znanja".
The event and the workshops are free of charge.
In addition, you will be able to follow the "Slovenian Supercomputing Network Day" via live stream.
Join us and deepen your understanding of the world of supercomputing.
EuroCC 2 project has received funding from the European High-Performance Computing Joint Undertaking (JU) under grant agreement No 101101903. The JU receives support from the Digital Europe Programme and Germany, Bulgaria, Austria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, Greece, Hungary, Ireland, Italy, Lithuania, Latvia, Poland, Portugal, Romania, Slovenia, Spain, Sweden, France, Netherlands, Belgium, Luxembourg, Slovakia, Norway, Türkiye, Republic of North Macedonia, Iceland, Montenegro, Serbia. National Competence Centre SLING is co-funded by the Ministry of Higher Education, Science and Innovation, Republic of Slovenia.
V oktobru bomo ponovno odprli vrata najzmogljivejših slovenskih superračunalnikov, vključno z EuroHPC Vega na Institutu informacijskih znanosti v Mariboru, ki se uvršča med najzmogljivejše superračunalnike na svetu.
Pridružite se nam in spoznali boste, kako superračunalniki vplivajo na naš vsakdan, od napovedi vremena do novih znanstvenih odkritij, ter se podrobno seznanili z njihovim delovanjem in uporabo.
Za vas smo pripravili:
predstavitev tehnologije in razvoja superračunalništva v Sloveniji;
vodene oglede superračunalnikih sistemov.
18. oktobra 2024 bomo odprli vrata superračunalniških centrov širom Slovenije:
* Na IZUM-u bo Dan odprtih vrat EuroHPC Vege potekal v sredo, 16. 10., četrtek, 17.10., in petek, 18. 10. 2024. **Program podjetja Arctur je namenjen dijakom srednjih tehničnih šol in študentom.
Predstavitve bodo skupaj z ogledom potekale približno eno uro in bodo prilagojene različnim znanjem obiskovalcev. Pridružite se nam lahko tako posamezniki kot tudi organizirane skupine, kot npr. šolski razredi. Za vse udeležence je prijava obvezna.
Dan odprtih vrat sovpada z dnevom "exascale" superračunalništva, ki je 18. oktobra – dan, ko obeležujemo prihodnost superračunalnikov, z zmogljivostjo vsaj 1 exaFLOPS (10^18 operacij na sekundo).
Description: At the workshop, we will present one of the most advanced areas of artificial intelligence - generative artificial intelligence. We will get to know all the components of generative diffusion models in more detail and in several successive steps we will create a test application for generating images based on text description.
The workshop is intended for both academic researchers and practitioners in the field of artificial intelligence who want to delve deeper into generative models and use them in their work. Throughout the day, we will explore concepts, conduct practical exercises and discuss the latest developments in this field.
After completing the workshop, participants will be able to obtain official certification from the NVIDIA Deep Learning Institute.
Detailed description: Thanks to the increasing capabilities of modern computer systems and advances in scientific theory, generative AI models have become more accessible than ever. Generative AI will play an important role in all branches of industry due to many applications such as creative creation of new content, rewarding existing data, simulations and planning, anomaly detection, new drug discovery, personalized recommendations and much more. In this workshop, we will delve into diffusion models for converting text to images.
The workshop will take place in the AWS cloud environment prepared by NVIDIA. Interactive access to powerful computing resources via a browser will be enabled. Each participant will have a powerful graphics accelerator at their disposal. The practical part of the workshop will be carried out using interactive learning documents, using the Python programming language and the PyTorch software library. The acquired knowledge can be easily transferred to other development environments.
After completing the workshop, participants will be able to take a short test and an additional programming task to earn official certification from the NVIDIA Deep Learning Institute. It will be possible to carry out the test and obtain the certificate at least six months after the end of the workshop.
Workflow: The workshop will take place in an interactive cloud environment with access via a browser.
Difficulty: Advanced
Language: English
Suggested prerequisites: Advanced knowledge of the Python programming language and programming libraries for building machine learning models. More detailed knowledge of the theoretical and practical aspects of deep neural networks.
Target audience: Students, academics and practitioners interested in generative models of artificial intelligence
Skills to be gained:
Hands-on experience in image generation from noise using U-Net neural network
Understanding the generative diffusion process based on denoising to improve the quality of the generated image
Understanding the differences between the diffusion process based on denoising and other generative models
Knowledge of procedures for controlling generated content by including context in the diffusion generative process
Max. number of participants: 30
Virtual location: MS Teams
Organisers:
Lecturers:
Name:
Domen Verber
Domen Verber is an assistant professor at the Faculty of Electrical Engineering and Computer Science of the University of Maribor (UM FERI) and ambassador of the NVIDIA Deep Learning Institute for the University of Maribor and their HPC specialist. He has been dealing with HPC and artificial intelligence issues for more than 25 years.
Jani Dugonik is an academic researcher at the Faculty of Electrical Engineering, Computer Science and Informatics of the University of Maribor (UM FERI). He has been working in the field of natural language processing and evolutionary algorithms for more than 10 years.
The aim of the symposium "AMEB2024: Additive Manufacturing in Engineering and Biomedicine" is to present additive manufacturing to a broader public of Master and PhD students and interested expert public.
Per- and polyfluoroalkyl substances (PFAS) are a group of synthetic fluorinated organic compounds that are indispensable in various applications, from consumer products to scientific research, due to their unique chemical and physical properties. Recently, these compounds have been found to be hazardous to both the environment and human health, and their remediation poses numerous challenges due to their stability and chemical inertness. Therefore, structural analysis of PFAS compounds is crucial to address this issue. Molecular dynamics (MD) simulations are an important tool in this regard as they allow the study of atomic behavior over time. In this work, we have focused on fluorinated alcohols. MD simulations were performed with the liquid 2,2,2-trifluoroethanol system (TFE) to determine how different force fields behave in describing the properties of fluorinated compounds. We have investigated six different force fields: TRAPPE, GROMOS-UA, GROMOS-AA, CHARMM, AMBER and OPLS. The suitability of these force fields for the prediction of structural and dynamic properties was evaluated by comparing the calculated results of simulation model systems with experimental X-ray scattering data, conformational analyses from the literature and certain thermodynamic quantities such as density and molecular diffusion coefficient. It was found that the TRAPPE, GROMOS-UA and GROMOS-AA force fields better describe the intermolecular correlations, while CHARMM, AMBER and OPLS are better suited to describe the intramolecular characteristics of TFE. The latter more accurately predicted the conformational forms of the molecules (gauchevs.trans), which we observed from the intramolecular spatial distribution functions and the average molecular end-to-end distances. On the other hand, the position of the maximum of the theoretical scattering curves was in better agreement with the experimental peak with the TRAPPE, GROMOS-UA and GROMOS-AA force fields.
Date & time & place: November 4, 10.00-14.00, Zoom.
Description: In this workshop, attendees will learn how to expand the use of ChatGPT's textual interface to solve advanced tasks that are not usually associated with large language models.
ChatGPT is designed to be a text-based assistant with several useful add-ons that are run externally to the GPT model. However, its textual interface alone can be used to solve much more demanding tasks, if we couple it with properly selected software packages or even (free) web tools. In this workshop attendees will learn how to use ChatGPT to:
- draw sketches and diagrams - convert talks and lectures into study materials - apply specific (yours or others) writing style to written materials - generate presentation slides and posters from scientific papers - generate graphic vector images from scans or screenshots - generate graphic vector images from your speech - generate graphical vector representation of alternative timelines in movies - produce 3D rendered graphics - bouncing ideas off ChatGPT, with sketches and code (and perhaps others if time allows)
To fully participate in the workshop, the attendees are advised to register for free or paid ChatGPT account, to register for free account at https://www.overleaf.com, and to optionally download and install PovRay renderer, available for free at: https://www.povray.org/
Note: Large language models, such as those used in ChatGPT are notoriously unpredictable, even in absence of continuous upgrades, which can cause sudden rapid change in the models' performance. We cannot guarantee that attendees will be able to replicate the exact functionality that will be shown in the workshop. In case of problems with live ChatGPT interface, the tasks will be demonstrated using prompt logs from previous chats.
The duration of the workshop is set at 4 hours with the intention that we provide hands-on training for as many problems as possible and also answer your questions on how to approach your specific problem you may have!
Here are examples of output data we aim to generate, and the fifth example of fixing Excel table is linked under materials on the bottom of the page.
Difficulty: Intermediate
Language: English
Prerequisite knowledge: Basic familiarity with ChatGPT
Target audience: Students, (BSc, MSc, PhD), researchers, developers, engineers, general public
Skills to be gained:
Gain the knowledge to use large language models for non-textual tasks
Gain the knowledge how to automate tedious textual tasks
Gain the knowledge on how to identify further opportunities to use ChatGPT in their own area of expertise
Workflow: The workshop is scheduled for a virtual session via Zoom.
Virtual location: ZOOM - only registered participants will see ZOOM link!!
Organizer:
Lecturers:
Name:
Janez Perš
Janez Perš is an Associate Professor at the Faculty of Electrical Engineering at the University of Ljubljana. His research areas are computer, machine, and robotic vision, parallel and distributed systems, and human movement analysis. He teaches the courses on Embedded Systems and Computer Vision.
Janez Križaj is a researcher at the Faculty of Electrical Engineering at the University of Ljubljana. His research areas are deep learning, computer vision, biometrics, face recognition, pattern recognition, and image processing.
Globular proteins and recently synthesized colloids engineered with differently charged surface regions share a direction-dependent interaction characterized by a reduced bonding valence and a competition between like-charge attraction and opposite-charge repulsion. Understanding the large-scale behavior of heterogeneously charged particles is thus critical for exploring both biological processes, such as the liquid-liquid phase separation of globular proteins, and the assembly of target structures with specific properties at the nano- and micro-scale.
Recently, we developed a simple coarse-grained model that, within well-defined limits, accurately reproduces the reference electrostatic potential derived from the linearized Poisson-Boltzmann framework [1]. This model is straightforward to implement in Monte Carlo and Molecular Dynamics (MD) simulations, enabling the exploration of how varying parameters -- such as net particle charge and surface charge pattern -- affect the self-assembly of these particles.
As illustrative examples, I will present our findings on how non-uniform electrostatics at the particle surface can influence the self-assembly of ordered phases [2] as well as the liquid-liquid phase separation [3].
Opis: Na delavnici se bomo seznanili z zgradbo računskih gruč in programsko opremo na njih ter zagnali svoje prve naloge. Naučili se boste razlikovati med prijavnimi vozlišči, računskimi vozlišči, ter sistemi za shranjevanje podatkov. Spoznali boste vlogo operacijskega sistema, vmesne programske opreme Slurm in uporabniških programov. Povezali se boste na prijavna vozlišča, prenašali datoteke na in iz superračunalnika, zaganjali naloge, s katerimi bomo obdelovali video posnetke, in spremljali izvajanje nalog.
Zahtevnost: Osnovna
Jezik: Slovenski
Termin: 06. 11. 2024 od 9.00 - 13.00
Omejitev števila udeležencev: 30
Virtualna lokacija: ZOOM
Ciljna publika:raziskovalci, inženirji, študenti, vsi ki potrebujejo več računskih virov pri svojem delu
Na izobraževanju pridobljena znanja:
Razumevanje delovanja in zgradbe superračunalnikov
Opis: Delavnica študente seznani z obsežnimi računalniškimi viri omrežja SLING, ki so ključni za napredne inženirske naloge. Udeleženci bodo pridobili dostop do superračunalniške gruče, se naučili osnovnih principov ter se seznanili s praktičnimi primeri vzporednega programiranja v jeziku C.
Podrobnejši opis: Sodobni računalniški algoritmi pogosto zahtevajo velike računalniške zmogljivosti. Pri nekaterih računalniških problemih, s katerimi se srečujejo inženirji, tudi zmogljiva delovna postaja hitro postane nezadostna ali pa ne omogoča hitrega izvajanja eksperimentov. Vendar pa imajo slovenski raziskovalci – vključno z doktorskimi študenti – dostop do več zmogljivih računalniških gruč (superračunalnikov), povezanih v slovensko superračunalniško omrežje SLING. Na tej delavnici boste (če želite) pridobili uporabniška imena na eni od računalniških gruč v omrežju SLING, spoznali osnovna načela dela s superračunalnikom in prevedli svoj prvi vzporedni program v programskem jeziku C.
Zahtevnost: Osnovna
Priporočeno predznanje: Ni zahtevano
Ciljna publika: Izobraževanje je namenjeno doktorskim študentom.
Na izobraževanju pridobljena znanja:
Arhitektura superračunalnikov, s poudarkom na računalnikih iz omrežja SLING;
Razlike v konceptu dela na delovni postaji (osebnem računalniku) in superračunalniku;
Nasveti za dobro izkoriščanje računalniških zmogljivosti superračunalnika;
Primer enostavne paralelizacije (množenje matrik, komunikacija med procesorji preko MPI).
Opis poteka izobraževanja: Delavnica bo potekala v fizični obliki na Fakulteti za elektrotehniko, Univerze v Ljubljani. Udeleženci bodo dostopali do superračunalniške gruče preko protokola SSH.
Lokacija: Fakulteta za elektrotehniko, Tržaška cesta 25, 1000 Ljubljana
Organizator:
Predavatelji:
Name:
Janez Perš
Janez Perš is an Associate Professor at the Faculty of Electrical Engineering at the University of Ljubljana. His research areas are computer, machine, and robotic vision, parallel and distributed systems, and human movement analysis. He teaches the courses on Embedded Systems and Computer Vision.
Janez Križaj is a researcher at the Faculty of Electrical Engineering at the University of Ljubljana. His research areas are deep learning, computer vision, biometrics, face recognition, pattern recognition, and image processing.
The XYZ exotic states discovered in the hadronic sector with two heavy quarks constitute one of the most important open problems in particle theory. In this talk, I show that an effective field theory derived from QCD, the Born Oppenheimer effective field theory (BOEFT), can describe exotics of any composition. I show the results of general Schr\"odinger coupled equations for arbitrary angular momentum of the light degrees of freedom. The coupled equations describe hybrids, tetraquarks, pentaquarks, doubly heavy baryons, and quarkonia in leading order, including nonadiabatic terms. Additionally, I also present the results of the predicted multiplets, corresponding selection rules, and expressions of the nonperturbative gauge invariant correlators, which are the input of the BOEFT: static energies, generalized Wilson loops, gluelumps, and adjoint mesons that should be calculated on the lattice. Moreover, I show for the first time new results on the behavior of static energies at short distances and mixing with the threshold at long distances based on BOEFT. As an application of this BOEFT, I show results for the hybrid spectrum, hybrid decays to quarkonium and some preliminary results for X(3872) and T_cc (3875).
Description: Scientific and math software is written in C/C++ which often requires longer development time when combining a larger set of such libraries. To better utilize such libraries it is often convenient to interface them to a modern interpreted language such as Python.
We will learn how to bind C/C++ code in Python 3, starting by creating a Python object that will utilize one of the standard C/C++ containers, the vector. Continuing we will then take an existing C/C++ library and prepare it to be called from Python. Finally we will demonstrate a workflow where two different libraries are combined in a single Python 3 script.
Difficulty: Basic
Language: English
Prerequisite knowledge: Basic knowledge of Linux, the Terminal, Python and C/C++
Target audience: The workshop is intended for beginners and more experienced people interested in utilizing C/C++ code from Python
Skills to be gained:
Identifying useful libraries, and how to combine them in a workflow
Basics of libraries for Python
Binding C/C++ libraries in Python
Workflow: The training is online, in the afternoon. The workshop will combine lecture and practical parts, where your own laptop suffices (however, if need users can also make use of the NSC Cluster at the Jožef Stefan Institute (as an educational member of SLING)).
Virtual location: ZOOM (only registered participants will see ZOOM link)
Organizer:
Lecturer:
Name:
Luka Leskovec
Description:
Scientist and educationalist involved in theoretical physics and supercomputing
Excerpt: We will learn the basics of SnakeMake, how to translate a basic workflow, which is partly trivially parallelizable and in parts not, into SnakeMake, and how to utilize HPC resources in conjunction with SnakeMake. We will take a look at a generic workflow, consisting of a set of tasks, with varying interdependencies; we will learn how to identify these interdependencies between our tasks and how to design a workflow diagram around them.
Description: We will learn the basics of SnakeMake, which is an open-source tool that allows users to describe complex workflows with a hybrid of Python and shell scripting. By transferring our workflow diagram into a SnakeMake we will learn how to automate our workflow. Initial development of our workflow in SnakeMake will be in a terminal setup, as we do generically in our day-to-day lives, however we will then learn how to scale up and perform these tasks on a local supercomputing cluster.
Difficulty: Basic
Language: English
Prerequisite knowledge: Basic knowledge of Linux, the Terminal and Python
Target audience: The workshop is intended for beginners and more experienced people interested in optimizing and automating their workflows and ultimately transferring them to High-Performance Computing machines.
Skills to be gained:
Workflow design, identification of interdependencies
Basics of SnakeMake
Transfering a generic workflow into SnakeMake
Testing our SnakeMake in an interactive environment, and upscaling it for use on a supercomputing cluster
Workflow: The training is live, in the afternoon. Part of the training will be in the form of a lecture and part will be a practical session, where we will make use of the NSC Cluster at the Jožef Stefan Institute (as an educational member of SLING).
Virtual location: ZOOM (only registered participants will see ZOOM link)
Organizer:
Lecturer:
Name:
Luka Leskovec
Description:
Scientist and educationalist involved in theoretical physics and supercomputing
Opis: Raziskovalci se pogosto spopadajo z velikimi računskimi izzivi, na primer pri analizi velikih podatkov, fizikalnih simulacijah, računski kemiji, računski biologiji, napovedovanju vremena, simulacijah dinamike tekočin ipd. Za reševanje mnogih problemov je pogosto na voljo ustrezna programska oprema, ki pa jo je potrebno prilagoditi za izvajanje na izbranem superračunalniku.
Na delavnici si bomo ogledali več načinov nalaganja programske opreme: v domačo mapo, preko okoljskih modulov in vsebnikov. Spoznali se bomo s konceptom virtualnih strojev in vsebnikov ter osvetlili razlike med zasnovo vsebnikov Docker in Apptainer. Naučili se bomo uporabiti že pripravljene vsebnike in na praktičnih primerih spoznali, kako zgraditi enostaven vsebnik Apptainer ter ga zagnati v superračunalniškem okolju. V nadaljevanju si bomo ogledali, kako v vsebnik vključiti podporo za grafične pospeševalnike in procesiranje na več vozliščih.
Delavnica bo praktično usmerjena, vaje bomo izvajali na modernem sistemu HPC.
Nucleon decays are generic predictions of many well motivated theories, including those based on the unification of forces and supersymmetry. I will discuss how nonstandard nucleon decays offer a unique opportunity to broadly probe light new particles beyond the Standard Model with masses below few GeV, including axion-like particles, dark photons, sterile neutrinos, and scalar dark matter. Conventional searches can misinterpret and even completely miss such new physics. I will discuss a general strategy based on momenta of visible decay final states to probe these processes, offering a rich physics program for existing and upcoming experiments such as Super-Kamiokande, Hyper-Kamiokande, DUNE, and JUNO.
Measurements the W and Z boson cross section provide important tests of the Standard Model, offering insights into the underlying dynamics of strongly interacting particles and proton structure. The large cross sections of these processes, together with clean experimental signatures achieved through their leptonic decays, allow for excellent experimental precision reaching the percent level, and in the case of cross-section ratios, the sub-percent level. This talk presents the recent measurement of the W and Z boson cross sections, their ratios and the ratio of the ttbar and W boson fiducial cross sections, using proton-proton collision data obtained at the new centre-of-mass energy of 13.6 TeV by the ATLAS experiment. The data used in this measurement correspond to an integrated luminosity of 29 inverse fb and was collected in 2022, at the beginning of the Run-3 data-taking period. Finally, results are compared with state-of-the-art Standard Model theoretical predictions calculated using several different PDF sets.
We revisit the decay rate of the electroweak vacuum in the Standard Model with the full one-loop prefactor. We focus on the gauge degrees of freedom and derive the degeneracy factors appearing in the functional determinant using group theoretical arguments. Our treatment shows that the transverse modes were previously overcounted, so we revise the calculation of that part of the prefactor. The new result modifies the gauge fields' contribution by 7%7% and slightly decreases the previously predicted lifetime of the electroweak vacuum, which remains much longer than the age of the universe. Our discussion of the transverse mode degeneracy applies to any calculation of functional determinants involving gauge fields in four dimensions.
Description: In high-performance computing (HPC), efficient job scheduling is crucial for maximizing resource utilization and minimizing wait times. The Texas Advanced Computing Center (TACC) has developed a sophisticated scheduler designed to enhance the performance of HPC. After a brief overview of the logic behind the TACC scheduler, this talk will delve into a users' view and use of this very powerful tool.
Difficulty: Basic
Language: English
Target audience: The workshop is intended for anyone wanting to gain practical knowledge of HPC tools.
Maximum number of participants: no limit
Location: online via Zoom
Organizer:
Lecturer:
Name:
Luka Leskovec
Description:
Scientist and educationalist involved in theoretical physics and supercomputing
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We would like to invite you to the "Slovenian Supercomputing Network Days" or "SLING Days", which will take place at the 
