BEGIN:VCALENDAR VERSION:2.0 PRODID:icalendar-ruby CALSCALE:GREGORIAN BEGIN:VEVENT DTSTAMP:20260703T073117Z UID:4cd39be4-5313-4bff-bee1-32af5e30feae DTSTART:20220412T073000Z DTEND:20220413T150000Z DESCRIPTION:[ONLINE] GPU programming using CUDA\n\n12 - 13 Apr. 2022\n\nDes cription\n\nThe focus of the training is to understand the basics of accel erator programming with the CUDA parallel computing platform model. \n\nCU DA is a parallel computing platform and application programming interface (API) model created by NVIDIA. It allows software developers to use a CUDA -enabled graphics processing unit (GPU) for general purpose processing – an approach known as GPGPU. The CUDA platform is a software layer that gi ves direct access to the GPU’s virtual instruction set and parallel comp utational elements\, for the execution of compute kernels. \n\nThe course also contains performance and best practice considerations\, e.g.\, gpu li braries\, performance optimizations\, tools for debugging and profiling.\n \nParticipants will acquire the basic skills needed for utilizing CUDA in new or existing codes.\n\nThe training programme is comprised of short ses sions\, while there will be time for Q&\;A.\n\nPrerequisites\n\nThe cou rse is addressed to people who are familiar with the C/C++ or Fortran prog ramming languages and have working experience with the Linux operating sys tem and the use of the command line. Experience with parallel programming or gpu programming (MPI\,OpenMP and CUDA) is not required.\n\nCourse langu age is English.\n\nPrices and Eligibility\n\nThe course is open and free o f charge for people from academia and industry from the Member States (MS) of the European Union (EU) and Associated &\; Other Countries to the H orizon 2020 programme.\n\nRegistration\n\nPlease register with your offici al e-mail address to prove your affiliation.\n\n \n\nVenue\n\nONLINE Usin g ZOOM\n\nConnection details will be mailed the day prior to the course. S ince the e-mail contains links\, please also check Spam folders.\n\nTimeta ble:\n\nAll times are in EEST timezone.\n\n12 Apr. 2022\n\n10:30 - 11:00 : Opening\n\n11:00 - 13:30 : Introduction to GPU/Parallel computing (with b reaks and Q&\;A)\n\n13:30 - 14:30 : Lunch Break\n\n14:30 - 17:00 : CUDA programming model (with breaks and Q&\;A)\n\n \n\n13 Apr. 2022\n\n10: 30 - 11:30 : Latest news from NVIDIA.\n\n11:30 - 14:00 : Performance Optim izations (with breaks and Q&\;A)\n\n14:00 - 15:30 : Lunch Break\n\n15:3 0 - 17:00 : Libraries\, OpenACC (with breaks and Q&\;A)\n\nAbout Tutors \n\nDr. Dellis (Male) holds a B.Sc. in Chemistry (1990) and PhD in Computa tional Chemistry (1995) from the National and Kapodistrian University of A thens\, Greece. He has extensive HPC and grid computing experience. In EGE E/EGI projects he acted as application support and VO software manager for SEE VO\, grid sites administrator (HG-02\, GR-06)\, NGI_GRNET support sta ff (2008-2014). In PRACE 1IP-6IP he was involved in benchmarking tasks eit her as group member or as BCO (2010-present). Currently he holds the posit ion of “Head of HPC team” at GRNET S.A.\n\nDr. Ioannis E. Venetis rece ived his PhD in 2006 from the Computer Engineering and Informatics Departm ent at the University of Patras in Greece. Currently he is an Assistant Pr ofessor at the Informatics Department at the University of Piraeus in Gree ce\, where he teaches\, among others\, "Parallel Computing". He has partic ipated in numerous research projects in the area of Parallel Computing. Hi s main research interests include parallel programming models\, run-time s ystems for supporting such models\, co-processor programming (especially u sing GPUs and the Intel Xeon Phi) and parallelization of computationally d emanding applications.\n\nAbout GRNET\n\nGRNET - National Infrastructures for Research and Technology\, provides advanced network\, cloud computing and IT infrastructures and services to academic and research institutions\ , to educational bodies at all levels\, as well as to agencies of the publ ic\, broader public and private sector. It holds a key role as the coordin ator of all e-infrastructures in education and research\, leveraging the e ducational and research activity in the country towards the development of applied and technological research. GRNET\, supervised by the Ministry of Digital Governance\, contributes to the country’s Digital Transformatio n via in-depth analysis\, technological studies\, standard solutions and s pecialized know-how\, serving at the same time hundreds of thousands of us ers on a daily basis in the strategic fields of Public Administration\, Ed ucation\, Research\, Health and Culture.\n\nhttps://hpc.grnet.gr/ https:// grnet.gr/\nhttps://events.prace-ri.eu/event/1388/ SUMMARY:[ONLINE] GPU programming using CUDA @GRNET URL;VALUE=URI:https://events.prace-ri.eu/event/1388/ END:VEVENT END:VCALENDAR