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SUMMARY:CUDA 4 Dummies
DTSTART:20261027T080000Z
DTEND:20261028T160000Z
DTSTAMP:20261102T141400Z
UID:indico-event-404@events.asc.ac.at
CONTACT:training@asc.ac.at
DESCRIPTION:Start date:  27 Oct 2026\, 09:00 (CET)    Entry level:  Ba
 sicEnd date:  28 Oct 2026\, 17:00 (CET)    Subject area:  Parallel pro
 grammingLocation:  ONLINE (Zoom)    Topics:  CUDALanguage:  English 
    Target audience:  Industry\, public admin\, academiaPrice:  Free (f
 or eligible participants)    Organizers:  ASC / EuroCCUnlock GPU power 
 with CUDA! Learn how to extend C/C++/Fortran code to run thousands of GPU 
 cores in parallel and accelerate scientific computing. This beginner-frien
 dly course offers a step-by-step introduction to CUDA programming\, core d
 esign principles\, and practical GPU workflows. No prior GPU experience ne
 eded – just bring your curiosity and a willingness to parallelize!CUDA i
 s the standard API for code development targeting NVIDIA GPUs and a number
  of impressive examples have already been given in diverse areas from part
 icle physics to computational biology. CUDA allows simple extensions of st
 andard C/C++/Fortran code with GPU-specific functions. In this way thousan
 ds of cores available on the GPU can be leveraged to work in parallel and 
 thus carry out significant fractions of the computational workload on the 
 device rather than the CPU. There is also a vast set of auxiliary tools av
 ailable to the developer including libraries\, code templates\, building b
 locks\, analysis tools\, developmental frameworks\, and in general a vivid
  community making up the CUDA Developer Zone. It is often for this multifa
 ceted support environment that the interested beginner is feeling overwhel
 med and unsettled about which particular first steps should best be taken 
 to gain a straightforward introduction into the subject. For exactly this 
 reason the present course is offering a systematic step-by-step introducti
 on into GPU computing from the perspective of the newcomer. Basic design p
 rinciples will be established\, central programming techniques acquired an
 d a number of state-of-the-art workflows examined that efficiently employ 
 the GPU and are frequently used in scientific computing.This course provid
 es lectures\, demos\, and hands-on labs.Agenda & ContentFor a detailed tim
 etable and additional information\, please see Agenda & Content in the lef
 t menu.Content levelContent level: Basic = 0:00h (0%) + Intermediate = 13:
 00h (100%) + Advanced = 0:00h (0%)Target audience\, eligibility & pricesEv
 eryone is welcome who wants to learn CUDA programming\, including students
 \, researchers\, and professionals from academia\, industry\, and public a
 dministration.This course is open and free of charge for participants fro
 m academia\, industry\, and public administration from EU and/or EuroHPC J
 U member countries.Entry level & prerequisitesBasic/beginner – no prior 
 CUDA knowledge is required.Being able to program in C/C++.Know how to work
  on the Linux command line.We welcome a basic scientific mindset\, curiosi
 ty\, a keen interest in challenging technical innovations\, and the apprec
 iation of outside-the-box thinking.Course formatThis course will be delive
 red as a LIVE ONLINE COURSE (using Zoom).Hands-on labsAll participants wil
 l get a temporary user account on one of the ASC systems to do the hands-o
 n labs.Accepted participants will be contacted a few days before the cours
 e and asked to do a short pre-assignment that has to be completed before t
 he course starts.LecturersSiegfried Höfinger (lecturer\, ASC Research Cen
 ter\, TU Wien)Dr. Siegfried Höfinger is a High-Performance Computing (HPC
 ) specialist and instructor focusing on efficient use of Austria's leading
  supercomputing infrastructure. He teaches researchers and practitioners h
 ow to run and optimize scientific applications on the large-scale ASC clus
 ters\, with a strong emphasis on practical hands-on workflows and energy a
 ware HPC usage. Siegfried focuses on GPU programming and he teaches how to
  offload computationally intensive kernels from CPUs to NVIDIA GPUs\, expl
 oit massive thread-level parallelism\, and use CUDA libraries like cuBLAS 
 and cuSOLVER to speed up linear algebra and other numeric routines.Atul Si
 ngh (teaching assistant\, ASC Research Center\, TU Wien)​Dr. Atul Singh 
 is currently working as an engineer in the software team at Austrian Scien
 tific Computing ASC\, TU Wien. He holds a PhD as a Marie Skłodowska-Curie
  Fellow from the University of Southampton\, UK\, in engineering design op
 timization\, and has previously worked as an HPC specialist at the Univers
 ity of Nottingham\, UK. During his MSc studies at the University of Rostoc
 k\, Germany\, he completed internships at several academic and industrial 
 institutions\, including the Chair of Aero Engine Design at BTU Cottbus\, 
 Germany\, CINECA Supercomputing Center as a PRACE Summer of HPC 2018 parti
 cipant in Bologna\, Italy\, and Scania in Södertälje\, Sweden\, where he
  worked on exhaust aftertreatment systems. This centers his expertise in e
 ngineering optimization\, artificial intelligence\, computational fluid dy
 namics\, and simulations to name a few.Ivan Vialov (teaching assistant\, A
 SC Research Center\, TU Wien)Ivan Vialov currently works at the ASC Resear
 ch Center at TU Wien\, Austria\, specializing in high-performance computin
 g (HPC)\, scientific software development\, and the optimization of parall
 el applications. He holds a PhD in physical and computational chemistry fr
 om the University of Lille\, France. His research experience includes work
  at the Max Planck Institute for Mathematics in the Sciences in Leipzig\, 
 Germany\, and the Italian Institute of Technology in Genoa\, Italy. His ex
 pertise spans classical molecular simulations\, electronic structure calcu
 lations\, numerical algorithms\, and parallel computing with MPI\, OpenMP\
 , and CUDA on large-scale HPC systems.LanguageEnglishDate\, time\, and loc
 ation27.–28.10.2026\, 09:00 – 17:00 (CET)\, LIVE ONLINE COURSE (Zoom)r
 egistrationRegistration is required\, the registration form can be found o
 n top of this page in the menu on the left.Please register with your offic
 ial institutional email address to prove your affiliation.You will get an 
 automatic confirmation by email (subject starting with "[Indico] Registrat
 ion")\, please check your Spam/Junk folders.Following your successful regi
 stration\, you will receive further information a few days before the cour
 se.Please do not hesitate to contact us at training@asc.ac.at if you have 
 any questions.WaitinglistAfter the number of registrations has reached its
  maximum or the registration form has been closed\, you may want to send u
 s an email (training@asc.ac.at) stating that you are interested to be put 
 on the waiting list (vacancies may occur due to cancelations\, etc.).To be
  able to do the hands-on labs on the ASC systems please provide your full 
 international mobile-phone number for the two-factor authentication requir
 ed to login to the ASC systems.Modification\, withdrawal & no-show policyY
 our registration is binding. Please only register for the course if you ar
 e really going to attend.You can update your registration data or withdraw
  your registration anytime before the registration form has been closed vi
 a the link "Manage my registration" which you can find at the bottom of yo
 ur automatic email confirmation (subject starting with "[Indico] Registrat
 ion").Alternatively\, or after the registration form has been closed\, ple
 ase inform us about your cancelation or any change in your registration da
 ta (especially your mobile-phone number) via email (training@asc.ac.at).No
 -show policy: If you do not cancel and do not show up at the course you wi
 ll be blacklisted and excluded from future training events.OrganizersThis 
 course is organized by Austrian Scientific Computing ASC (aka ASC Research
  Center\, TU Wien).AcknowledgementsThis course is partially funded by the 
 EuroCC 3 project.EuroCC 3 has received funding from the European High-Perf
 ormance Computing Joint Undertaking (JU) under Grant Agreement No. 1013067
 01. The JU receives support from the European Union‘s Digital Europe Pro
 gramme and Germany\, Albania\, Austria\, Belgium\, Bosnia and Herzegovina\
 , Bulgaria\, Croatia\, Cyprus\, Czechia\, Denmark\, Estonia\, Finland\, Fr
 ance\, Greece\, Hungary\, Iceland\, Ireland\, Italy\, Latvia\, Lithuania\,
  Luxembourg\, Malta\, Montenegro\, the Netherlands\, North Macedonia\, Nor
 way\, Poland\, Portugal\, Romania\, Serbia\, Slovakia\, Slovenia\, Spain\,
  Sweden\, Türkiye\, and Kosovo.Funded by the European Union. Views and op
 inions expressed are however those of the author(s) only and do not necess
 arily reflect those of the European Union or EuroHPC Joint Undertaking. Ne
 ither the European Union nor the EuroHPC Joint Undertaking can be held res
 ponsible for them.National co-funding for Austria was granted by Austrian 
 Scientific Computing (ASC).\n\nhttps://events.asc.ac.at/event/404/
IMAGE;VALUE=URI:https://events.asc.ac.at/event/404/logo-4053892323.png
LOCATION:Zoom (ONLINE)
URL:https://events.asc.ac.at/event/404/
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