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SUMMARY:[Webinar] Software installation on HPC systems
DESCRIPTION:Register here\n\n\n\n\n\n\nAbout the webinar\n\n\n\nSoftware installation on High-Performance Computing (HPC) systems differs from typical installations on personal computers due to multi-user environments\, shared resources\, and system-wide configurations. Instead of installing software globally\, users often work within shared or isolated environments while leveraging specialized tools for software management.There are multiple methods available to install software on HPC systems depending on their specific configuration. \n\n\n\nThis webinar is designed for new users of supercomputers who want to install software by themselves. It will briefly cover topics such as compiling code from source (make and cmake)\, utilizing “package managers” (conda\, Spack\, and EasyBuild)\, and deploying executables with containers (Singularity). \n\n\n\nWho is this webinar for?\n\n\n\nThis webinar is ideal for beginners who will work with high-performance computing environment and interested in managing to install software by themselves. \n\n\n\nKey takeaways\n\n\n\nBy the end of this webinar\, you will: \n\n\n\n\nGain hands-on experience with practical examples.\n\n\n\nUnderstand basics of HPC software installation learn why software installation on HPC differs from regular systems.\n\n\n\nExplore different software installation methods learn best practices for managing software dependencies.\n\n\n\n\n\n\n\n\nMore events & contact\n\n\n\nCheck out more upcoming events from ENCCS and our European network at https://enccs.se/events\, as well as our lessons\, suitable also for self-learning. \n\n\n\nFor questions regarding this workshop or general questions about ENNCS training events\, please contact training@enccs.se \n\n\n\nSchedules can change!\n\n\n\nTo ensure that everyone has the opportunity to participate\, we kindly request that you let us know as soon as possible if you are unable to attend an event after registering. \n\n\n\nPlease send us an email at training@enccs.se to cancel your attendance. \n\n\n\nWe understand things can change\, but repeated cancellations without notice may unfortunately result in your name being removed from future event registration lists. \n\n\n\n\n\n\n\nRegulations\n\n\n\nDue to EuroCC2 regulations\, we CAN NOT ACCEPT generic or private email addresses. Please use your official university or company email address for registration. \n\n\n\nThis training is for users who live and work in the European Union or a country associated with Horizon 2020. You can read more about the countries associated with Horizon2020 HERE.
URL:https://enccs.se/events/webinar-software-installation-on-hpc-systems/
CATEGORIES:ENCCS Event
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DTSTART;TZID=Europe/Stockholm:20260526T090000
DTEND;TZID=Europe/Stockholm:20260529T120000
DTSTAMP:20260418T145723
CREATED:20260317T125708Z
LAST-MODIFIED:20260317T125833Z
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SUMMARY:[Workshop] Julia for High Performance Data Analysis
DESCRIPTION:Register here\n\n\n\n\n\n\nOverview\n\n\n\nJulia is a modern high-level programming language that is fast (on par with traditional HPC languages like Fortran and C) and relatively easy to write like Python or Matlab. It thus solves the two-language problem\, i.e. when prototype code in a high-level language needs to be combined with or rewritten in a lower-level language to improve performance. Although Julia is a general-purpose language\, many of its features are particularly useful for numerical scientific computation\, and a wide range of both domain-specific and general libraries are available for statistics\, machine learning\, and numerical modeling. \n\n\n\nJoin us for Julia for High Performance Data Analysis\, a hands-on workshop designed to equip you with practical skills for working with large datasets\, optimizing code\, and leveraging Julia’s rich ecosystem of libraries. You’ll explore real-world applications in data analysis\, numerical computation\, and machine learning\, all while discovering how Julia can streamline your workflow and elevate your performance without sacrificing code readability. \n\n\n\nWho is this workshop for?\n\n\n\nThis workshop is aimed at students\, researchers\, and developers who: \n\n\n\n\nAre already familiar with one or more programming languages such as Julia\, Python\, R\, C/C++\, Fortran\, or Matlab.\n\n\n\nWork with large datasets or need to perform computationally intensive modeling and analysis.\n\n\n\nWant to develop high-performance data science applications while staying within a productive\, high-level programming environment.\n\n\n\n\nPrerequisites\n\n\n\n\nExperience with one or more programming languages.\n\n\n\nFamiliarity with basic concepts in linear algebra and machine learning.\n\n\n\nBasic experience working in a terminal is helpful.\n\n\n\n\nKey takeaways\n\n\n\nThis online workshop will start by briefly covering the basics of Julia’s syntax and features\, and then introduce methods and libraries which are useful for writing high-performance code for modern HPC systems. After attending the workshop\, you will: \n\n\n\n\nBe comfortable with Julia’s syntax\, built-in package manager\, and development tools.\n\n\n\nUnderstand core language features like its type system\, multiple dispatch\, and composability.\n\n\n\nBe able to write your own Julia packages from scratch.\n\n\n\nKnow how to perform various linear algebra analysis on datasets.\n\n\n\nBe productive in analyzing and visualizing large datasets in Julia using dataframes and visualization packages.\n\n\n\nBe familiar with several Julia libraries for visualization and machine learning.\n\n\n\nUnderstand how to analyze large datasets efficiently in Julia using statistical methods.\n\n\n\n\nTentative Agenda\n\n\n\nTime (9:00-12:00) (CET)ContentsMay 26Motivation\, julia syntax\, special Julia features\, developing in Julia\, package ecosystemMay 27Motivation (julia for data analysis)\, data formats and dataframes\, linear algebra\, machine learning (data part)May 28Machine learning\, clustering and classification\, deep learningMay 29Non-linear regression\, scientific machine learning\, conclusions and outlook\n\n\n\nRegulations\n\n\n\nDue to EuroCC2 regulations\, we CAN NOT ACCEPT generic or private email addresses. Please use your official university or company email address for registration. \n\n\n\nThis training is intended for users established in the European Union or a country associated with Horizon 2020. You can read more about the countries associated with Horizon2020 HERE. \n\n\n\nContact\n\n\n\nFor questions regarding this workshop or general questions about ENCCS training events\, please contact training@enccs.se.
URL:https://enccs.se/events/workshop-julia-for-high-performance-data-analysis/
CATEGORIES:ENCCS Event
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