BEGIN:VCALENDAR VERSION:2.0 PRODID:icalendar-ruby CALSCALE:GREGORIAN BEGIN:VEVENT DTSTAMP:20260706T165343Z UID:5244e8a0-ebf4-4bf1-9c4b-4ab6f3426d80 DTSTART:20200608T080000Z DTEND:20200610T140000Z DESCRIPTION:          \n\nThis course will be delivered as an ONLINE COURSE for remote participation because of the COVID-19 measures enforced by most European governments.\n\nREGISTRATION is strictly NECESSARY sin ce the details to access the online course will be provided to the registe red and accepted attendees only.\n\nPlease mind that the time has been cha nged to 10:00-12:00 &\; 13:00-16:00 CEST. Registration for RRZE account s to be used for the hands-on sessions will start at 09:00 CEST on Monday. Please contact the registration desk via private ZOOM chat on Monday morn ing:\n\n\n Thomas Gruber\n Gerald Mathias\n Carla Guillen\n\n\nHave your p assport ID number or identification card ID number ready for the account r egistration.\n\nPlease use your own laptop or PC with X11 support and an s sh client installed for the hands-on sessions. For GUI applications we rec ommend the NoMachine Enterprise Client\, available for Windows\, Linux and macOS. Further details can be found below.\n\nContents\n\nIn the ever-gro wing complexity of computer architectures\, code optimization has become t he main route to keep pace with hardware advancements and effectively make use of current and upcoming High Performance Computing systems.\n\nHave y ou ever asked yourself:\n\n\n Where does the performance of my application lay?\n What is the maximum speed-up achievable on the architecture I am u sing? \n Is my implementation matching the HPC objectives?\n\n\nIn this wo rkshop\, we will answer these questions and provide a unique opportunity t o learn techniques\, methods and solutions on how to improve code\, how to enable the new hardware features and how to use the roofline model to vis ualize the potential benefits of an optimization process.\n\nWe will begin with a description of the latest micro-processor architectures and how th e developers can efficiently use modern HPC hardware\, in particular the v ector units via SIMD programming and AVX-512 optimization and the memory h ierarchy.\n\nThe attendees are then conducted along the optimization proce ss by means of hands-on exercises and learn how to enable vectorization us ing simple pragmas and more effective techniques\, like changing data layo ut and alignment.\n\nThe work is guided by the hints from the Intel® comp iler reports\, and using Intel® Advisor. Besides Intel® Advisor\, the pa rticipants will also be guided to the use of Intel® VTune™ Amplifier\, Intel® Application Performance Snapshot and LIKWID as tools for investiga ting and improving the performance of a HPC application. We further cover the Intel® Math Kernel Library (MKL)\, in order to show how to gain perfo rmance through the use of libraries.\n\nWe provide an N-body code\, to sup port the described optimization solutions with practical hands-on.\n\nYou can ask Intel in the Q&\;A session about how to optimise your code. Ple ase provide a description of your code in the registration form.\n\nLearni ng Goals\n\nThrough a sequence of simple\, guided examples of code moderni zation\, the attendees will develop awareness on features of multi and man y-core architecture which are crucial for writing modern\, portable and ef ficient applications.\n\nA special focus will be dedicated to scalar and v ector optimizations for the latest Intel® Xeon® Scalable processor\, cod e-named Skylake\, utilized in the SuperMUC-NG machine at LRZ. \n\nThe work shop interleaves frontal and practical sessions. Here is a preliminary out line:\n\nDay 1\n\n\n Introduction to systems and software\n Code moderniza tion approach\n Scalar optimization\n Compiler autovectorization\n Data la yout from AoS to SoA\n Memory access optimization\n SDLT (Intel® SIMD Lay out Templates) / Explicit vectorization / Skylake optimization\n\n\nDay 2\ n\n\n Introduction to roofline model\n Intel® Advisor analysis\n Intel® Math Kernel Library (MKL) and other libraries\n\n\nDay 3\n\n\n Introducti on to Intel® VTune™ Amplifier\n Introduction to Intel® Application Per formance Snapshot (APS)\n LIKWID ( “Like I Knew What I’m Doing.”)  Performance Tools\n Q&\;A Session\n\n\nRecommended Access Tools\n\n\n E xercises will be done on the RRZE Meggie cluster\, see: https://www.anleit ungen.rrze.fau.de/hpc/meggie-cluster/\n Please use your own laptop or PC w ith X11 support and an ssh client installed for the hands-on sessions.\n \ n \n Under Windows\n\n \n We recommend to install the comfortable too l MobaXterm (https://mobaxterm.mobatek.net/download-home-edition.html) whi ch also includes an X11 client.\n Alternatively install and run the Xmin g X11 Server for Windows: https://sourceforge.net/projects/xming/ and then install and run the terminal software putty: https://www.chiark.greenend. org.uk/~sgtatham/putty/latest.html \n \n \n Under macOS\n \n Instal l X11 support for macOS XQuartz:  https://www.xquartz.org/\n \n \n Und er Linux\n \n ssh and X11 support comes with all distributions\n \n \ n \n \n For GUI applications we recommend the NoMachine Enterprise Client\ , available for Windows\, Linux and macOS. It can be downloaded for free f rom https://www.nomachine.com/download-enterprise#NoMachine-Enterprise-Cli ent. See https://www.nomachine.com/getting-started-with-nomachine and htt ps://www.anleitungen.rrze.fau.de/hpc/dialogserver/ for further details how to connect.\n\n\nInformation on ZOOM\n\n\n ZOOM help center has great res ources with help articles and videos for getting started: https://support. zoom.us/hc/en-us\n This “Getting Started” page is a great resource: ht tps://support.zoom.us/hc/en-us/categories/200101697\n This FAQ has tons of useful info: https://support.zoom.us/hc/en-us/articles/206175806-Frequent ly-Asked-Questions\n We strongly encourage you to read some of the basic i nfo relevant to your operating system:\n ● Getting Started on Windows an d Mac: https://support.zoom.us/hc/en-us/articles/201362033-Getting-Started -on-Windows-and-Mac\n ● Getting Started On Chrome OS: https://support.zo om.us/hc/en-us/articles/213298746-Getting-Started-On-Chrome-OS\n You may l og in via the app or a browser. We recommend downloading the app for the b est experience. It may take several minutes to download\, so if you are us ing Zoom for the first time\, please download the app prior to the event\, https://zoom.us/download \, or join the meeting early.\n You may sign up for a free account at zoom.us/signup . Or\, you may join a meeting as a gu est without a Zoom account.\n\n\n \n\nThe workshop is a PRACE training ev ent organized by LRZ in cooperation with Intel and RRZE.\n\nAbout the Lect urers\n\nFabio Baruffa is a senior software application engineer at Intel. He provides customer support in the high-performance computing (HPC) area and artificial intelligence software solutions at large scale. He collabo rates with several research institutes in Europe to develop prototypes of quantum computing algorithm simulations running on current HPC systems. Pr ior at Intel\, he has been working as HPC application specialist and devel oper in the largest supercomputing centers in Europe\, mainly the Leibniz Supercomputing Center and the Max-Plank Computing and Data Facility in Mun ich\, as well as Cineca in Italy. He has been involved in software develop ment\, analysis of scientific code and optimization for HPC systems. He ho lds a PhD in Physics from University of Regensburg for his research in spi ntronics devices and quantum computing.\n\nGennady Fedorov is a Technical Consulting Engineer supporting technical and Intel Performance Libraries ( IPP\, MKL and DAAL) within the Intel Architecture\, Graphics and Software Group at Intel in Russia. His focus areas are Image Processing\, Crypto\, Compressing techniques\, High Performance Computing and Artificial Intell igence.\n\nThomas Gruber (né Röhl) collected experience with all kinds of clustering approaches during his apprenticeship at the Erlangen Regiona l Computing Center (RRZE)\, the IT service provider for the Friedrich-Alex ander-University Erlangen-Nuernberg (FAU). Afterwards\, he studied Compute r Science at RWTH Aachen University with emphasis on parallel programming and operating system kernel development. At the same time\, he worked as a research assistant for the HPC group of the RWTH IT center. After receivi ng his M. Sc. degree\, he went back to RRZE to work for the HPC group. Tho mas Gruber leads the development of the performance tool suite LIKWID\, wh ich comprises easy-to-use tools for hardware performance monitoring\, affi nity control and micro-benchmarking. He also works on projects involving m onitoring and analysis of hardware performance data.\n\nCarla Guillen work s as a researcher in the application support group at the LRZ. She obtaine d her PhD in computer science at the Technische Universitaet Muenchen in 2 015. She joined the LRZ in 2009\, and has been working in the fields of sy stem-wide performance monitoring and energy optimization of large scale cl usters.\n\nGerald Mathias works in the application support for the HPC sys tems at LRZ since 2015 and leads the Biolab@LRZ. After his PhD in Computat ional Biopyhsics at the LMU Munich he joined the chair of Theoretical Chem istry at the RUB in Bochum afterwards as a postdoc. He is experienced in t he development and optimization of highly parallel ab initio and force fie ld based molecular dynamics codes\, both in Fortran and C.\n\nMichael Stey er is a Technical Consulting Engineer supporting technical and High Perfor mance Computing segments within the Intel Architecture\, Graphics and Soft ware Group at Intel in Germany. His focus areas are High Performance Compu ting and Artificial Intelligence.\n\nIgor Vorobtsov has more than 11 years of experience in the areas of C/C++ and Fortran compilers\, application t uning and developer support. Igor got a Master of Science degree in Applie d Mathematics. Since joining Intel in 2008\, Igor has worked as a Technica l Consulting Engineer supporting software developers throughout EMEA regio n. Igor has a broad array of application experience\, including enterprise applications and high performance computing environments.\nhttps://events .prace-ri.eu/event/1003/ SUMMARY:[ONLINE] HPC code optimisation workshop @ LRZ URL;VALUE=URI:https://events.prace-ri.eu/event/1003/ END:VEVENT END:VCALENDAR