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SUMMARY:Julia for High-Performance Scientific Computing
DESCRIPTION:Overview\nDid you know that the Julia programming language has many applications and is fastly adopted in industry and academia? \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.\nAlthough 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 modelling.\nThe language supports parallelization for both shared-memory and distributed HPC architectures\, and native Julia libraries are available for running on GPUs from different vendors. \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\nBe comfortable with Julia’s syntax\, in-built package manager\, and development tools.\nUnderstand core language features like its type system\, multiple dispatch\, and composability.\nBe able to write your own Julia packages from scratch.\nHave an overview of Julia’s parallelization and GPU-porting strategies and the know-how to get started using them.\nBe familiar with crucial Julia libraries for scientific modelling\, visualization\, and machine learning.\n\nPrerequisites\nThe workshop is intended for researchers who are familiar with one or more other languages like Python\, R\, Matlab\, C/C++ or Fortran but would like to learn an exciting modern high-performance language.\nBasic experience with working in a terminal is also beneficial. Participants are expected to install Julia\, VSCode and Zoom before the workshop starts. \nPreliminary Agenda\nTuesday 8 November 2022 \n[ninja_tables id=”17153″] \nWednesday 9 November 2022 \n[ninja_tables id=”17154″] \nThursday 10 November 2022 \n[ninja_tables id=”17155″] \nRegistration\nRegistrations are now full. \nFor questions regarding this event please contact us at training@enccs.se. \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 https://ec.europa.eu/info/research-and-innovation/statistics/framework-programme-facts-and-figures/horizon-2020-country-profiles_en
URL:https://enccs.se/events/2022-11-julia/
LOCATION:Online
CATEGORIES:ENCCS Event
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