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DTSTART;TZID=Europe/Stockholm:20241105T085000
DTEND;TZID=Europe/Stockholm:20241107T140000
DTSTAMP:20260421T144248
CREATED:20241021T112507Z
LAST-MODIFIED:20241202T125114Z
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SUMMARY:Python for Scientific Computing (online)
DESCRIPTION:Registrations are closed for this event. \n\n\n\n\n\nPython for scientific computing is a medium-advanced course in Python tools such as NumPy\, SciPy\, Matplotlib\, and Pandas. It is suitable for people who know basic Python and want to know some internals and important libraries for science – basically\, how a typical scientist actually uses Python. \n\n\n\nPython is a modern\, object-oriented programming language\, which has become popular in several areas of software development. This course discusses how Python can be utilised in scientific computing. The workshop starts by introducing the main Python package for numerical computing\, NumPy\, and discusses the SciPy toolbox for various scientific computing tasks as well as visualization with the Matplotlib package. In addition\, it talks about how Python is used: related scientific libraries\, reproducibility\, and the broader ecosystem of science in Python.  \n\n\n\nRead the learner personas to see if the course is right for you.  Prerequisites include basic programming in Python. \n\n\n\nSchedule\n\n\n\nThe course consists of three online hands-on sessions 4h each witha  lunch break in between. All times EET (convert 9:50 to your timezone). The schedule is tentative\, we may run earlier or later\, so join early if attending a single lesson. \n\n\n\nFor updated schedule please visit https://scicomp.aalto.fi/training/scip/python-for-scicomp-2024/ \n\n\n\nENCCS Lessons\n\n\n\nHave a look at ENCCS lesson materials where you can find multiple lessons on GPU programming\, data analysis\, HPC optimisation\, and more!
URL:https://enccs.se/events/python-for-scientific-computing-2024/
CATEGORIES:Collaboration Event,ENCCS Event
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DTSTART;TZID=Europe/Stockholm:20241112T090000
DTEND;TZID=Europe/Stockholm:20241114T160000
DTSTAMP:20260421T144248
CREATED:20240826T162023Z
LAST-MODIFIED:20241202T125041Z
UID:35513-1731402000-1731600000@enccs.se
SUMMARY:GPU Programming. Why. When. How (Online)
DESCRIPTION:Registrations are closed for this event. \n\n\n\n\n\nAbout the workshop\n\n\n\nThis workshop is based on a multilateral collaboration between GPU programming specialists from the Nordic countries. It is meant to help both software developers and decision-makers navigate the GPU programming landscape and make more informed decisions on which languages or frameworks to learn and use for their projects. \n\n\n\nThis workshop will cover basic aspects of GPU programming concepts and models including: \n\n\n\n\nGPU hardware and software ecosystem\n\n\n\nGPU programming concepts & models\n\n\n\nDirective-based models (OpenACC\, OpenMP)\n\n\n\nPortable kernel-based models (Kokkos\, OpenCL\, SYCL\, etc.)\n\n\n\nNon-portable kernel-based models I (CUDA\, HIP)\n\n\n\nHigh-level language support (Python\, Julia)\n\n\n\nMulti-GPU programming with MPI\n\n\n\nPreparing code for GPU porting\n\n\n\nHand-on examples\n\n\n\n\nWhat you will learn\n\n\n\n\nUnderstand why and when to use GPUs.\n\n\n\nBecome comfortable with key concepts in GPU programming.\n\n\n\nAcquire a comprehensive overview of different software frameworks\, what levels they operate at\, and which to use when.\n\n\n\nLearn the fundamentals in at least one framework to a level which will enable you to quickly become a productive GPU programmer.\n\n\n\n\nPrerequisites\n\n\n\nThis workshop is most relevant to researchers and engineers who already develop software that runs on CPUs in workstations or supercomputers. We recommend familiarity with one or more programming languages like C/C++\, Fortran\, Python or Julia. \n\n\n\nHowever\, the first morning session on November 12 (9:00-12:00) is appropriate also to decision-makers or project managers who don’t write code but make strategic decisions in software projects\, whether it’s in academia\, industry\, or the public sector. If you wish to attend only the first morning session\, please indicate so in the registration form. \n\n\n\nIn the final afternoon session\, we urge participants to bring their own code\, discuss it with experts\, and get concrete advice. \n\n\n\nAgenda\n\n\n\nDay 1 (Nov. 12) \n\n\n\n\n\n\n	  Time          Contents   \n\n\n\n\n	09:00-09:20  Welcome      \n\n\n	 09:20-09:45  Why GPUs?    \n\n\n	 09:45-10:15  GPU hardware and software ecosystem \n\n\n	 10:15-10:30  Coffee break\n\n\n	 10:30-11:00  What problems fit to GPU? \n\n\n	 11:00-11:30  GPU programming concepts \n\n\n	 11:30-12:00  Introduction to GPU programming models \n\n\n	 12:00-13:00  Lunch break\n\n\n	 13:00-14:10  Directive-based models (OpenACC\, OpenMP) \n\n\n	 14:10-14:30  Coffee break\n\n\n	 14:30-15:50  Portable kernel-based models (C++ stdpar\, Kokkos\, OpenCL\, SYCL) \n\n\n	 15:50-16:00  Wrap-up \n\n\n\n\n\n\nDay 2 (Nov. 13) \n\n\n\n\n\n\n	  Time          Contents   \n\n\n\n\n	 09:00-10:30  Non-portable kernel-based models (CUDA\, HIP) \n\n\n	 10:30-10:45 Coffee break \n\n\n	 10:45-12:00 Exercises (on various programming models) \n\n\n	 12:00-13:00 Lunch break\n\n\n	 13:00-14:15 High-level language support (Python and Julia) \n\n\n	 14:15-14:30 Coffee break\n\n\n	 14:30-15:55 Multi-GPU programming with MPI \n\n\n	 15:50-16:00 Wrap-up \n\n\n\n\n\n\nDay 3 (Nov 14) \n\n\n\n\n\n\n	  Time         Contents   \n\n\n\n\n	 09:00-10:00 Preparing code for GPU porting \n\n\n	 10:00-10:30 Recommendations and discussions \n\n\n	 10:30-10:45 Coffee break \n\n\n	 10:45-11:55 End-to-end GPU programming example \n\n\n	 11:55-12:00 Wrap-up \n\n\n	 12:00-13:00 Lunch break \n\n\n	 13:00-15:50 Bring your code and get expert advice \n\n\n	 15:50-16:00 Summary of this workshop \n\n\n\n\n\n\nWhy learning GPU programming is important\n\n\n\nGraphical processing units (GPUs) are the workhorse of many high-performance computing (HPC) systems around the world. Currently\, the majority of HPC computing power available to researchers and engineers is provided by GPUs or other types of accelerators. Programming GPUs and other accelerators is thus increasingly important to developers who write software that is executed on HPC systems. \n\n\n\nThe landscape of GPU hardware\, software\, and programming environments is complicated. Multiple vendors compete in the high-end GPU market\, each vendor provides their own software stack and development toolkits\, and even beyond that\, there is a proliferation of tools\, languages\, and frameworks that can be used to write code for GPUs. It can thus be difficult for individual developers and project owners to know how to navigate this landscape and select the most appropriate GPU programming framework for their projects based on the requirements of a given project and the technical specifics of existing code. \n\n\n\nENCCS Lessons\n\n\n\nHave a look at ENCCS lesson materials where you can find multiple lessons on GPU programming\, data analysis\, HPC optimisation\, and more! \n\n\n\n\n\n\n\nDisclaimer\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 https://ec.europa.eu/info/research-and-innovation/statistics/framework-programme-facts-and-figures/horizon-2020-country-profiles_e
URL:https://enccs.se/events/gpu-programming-why-when-how-2024/
LOCATION:Online
CATEGORIES:Collaboration Event,ENCCS Event
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