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X-WR-CALDESC:Events for ENCCS
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BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20211108T090000
DTEND;TZID=Europe/Stockholm:20211109T121000
DTSTAMP:20260422T043712
CREATED:20210906T160006Z
LAST-MODIFIED:20211028T070221Z
UID:10810-1636362000-1636459800@enccs.se
SUMMARY:SYCL Workshop
DESCRIPTION:Overview\nWelcome to this ENCCS workshop\, in collaboration with CSC Finland and Izum\, Slovenia. \nSYCL is a C++ abstraction layer for programming heterogeneous hardware with a single-source approach. SYCL is high-level\, cross-platform\, and extends standard ISO C++17. You will learn to: \n\nUse the hipSYCL compiler to generate executable for multiple hardware targets.\nWrite hardware-agnostic code to express parallelism using the queue\, command group\, and kernel abstractions.\nUse buffer and accessors to handle memory across devices.\nEvaluate drawbacks and advantages of unified shared memory.\n\nThe training will run on the EuroHPC JU Vega system. For VEGA specs and other details\, visit https://doc.vega.izum.si. \nPreliminary Agenda\nDay 1 – Monday 8 November 2021\n[ninja_tables id=”10811″] \nDay 2 – Tuesday 9 November 2021\n[ninja_tables id=”10812″] \nRegistration\nRegistrations are now closed for this event. \n————\nThis training is intended for users established in the European Union or a country associated to Horizon 2020.
URL:https://enccs.se/events/a-i-as-a-tool-for-change-given-in-swedish-2-3/
LOCATION:Online
CATEGORIES:ENCCS Event
ATTACH;FMTTYPE=image/jpeg:https://media.enccs.se/2021/09/sycl-workshop-394.jpg
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BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20211111T100000
DTEND;TZID=Europe/Stockholm:20211111T150000
DTSTAMP:20260422T043712
CREATED:20211006T090431Z
LAST-MODIFIED:20211112T084654Z
UID:11102-1636624800-1636642800@enccs.se
SUMMARY:Training on HPDA for climate data with the Ophidia framework
DESCRIPTION:Overview\nDue to the continuous increase of data volumes that many scientific domains are facing\, advances in science have become dependent on the availability of scalable analysis tools able to effectively cope with these massive datasets. \nThis online training course aims to provide a basic understanding of HPDA challenges for eScience and how these are addressed by the Ophidia HPDA framework. Ophidia is a CMCC Foundation research effort targeting scientific data-intensive analysis\, by joining HPC paradigms and Big Data approaches. The framework specifically targets the analysis on top of HPC systems and is currently involved in the ESiWACE2 CoE and the eFlows4HPC EuroHPC JU projects for large-scale scientific data analytics. \nThe training will provide an overview of the framework features covering both interactive analysis and complex data analytics workflows on HPC infrastructures. It will include examples of real climate analysis applications with the Ophidia framework as well as hands-on sessions to practice the concepts presented. \nPrerequisites\nBasic knowledge of Python\, Jupyter Notebooks\, Linux\, and the NetCDF data format is required to fully take advantage of this training course. Moreover\, general knowledge of climate data aspects is recommended. \nAgenda\nThursday 11th November 2021\n[ninja_tables id=”11109″] \nPresentation Slides\n\nOphidia_workflow_training\nOphidia_intro_training\n\nRegistration\nRegistrations are now closed. \n————\nThis training is intended for users established in the European Union or a country associated to Horizon 2020.
URL:https://enccs.se/events/hpda-with-ophidia/
LOCATION:Online
CATEGORIES:ENCCS Event
ATTACH;FMTTYPE=image/jpeg:https://media.enccs.se/2021/10/Ophidia-training.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20211118T090000
DTEND;TZID=Europe/Stockholm:20211119T120000
DTSTAMP:20260422T043712
CREATED:20211006T120910Z
LAST-MODIFIED:20211117T150822Z
UID:11116-1637226000-1637323200@enccs.se
SUMMARY:OpenMP Offloading Workshop
DESCRIPTION:Overview\nENCCS is offering a training workshop on November 18-19 focused on GPU offloading using OpenMP. These new features\, which are available since version 4.0\, make OpenMP a good option for researchers and developers who wish to accelerate their code on GPUs using a cross-platform framework supported by all HPC device vendors (including NVIDIA\, AMD\, and Intel) \nThe workshop will be hands-on and interactive and lectures will be interleaved with type-along sessions and exercises. CSC Finland has contributed to the training material \nPrerequisites\nPrevious experience with OpenMP\, e.g. for conventional threading on CPUs\, is not required. However\, participants should be comfortable writing code in C/C++ or Fortran. \nWhat you will learn\nThe purpose of the workshop is to learn how GPU offloading works to be able to write simple code using OpenMP directives for GPU offloading. Topics that will be covered include: \n\nIntroduction of heat equation miniapp\nGPU Architecture\nOpenMP Offloading directives\nTransferring data between CPU and GPU\n\nAgenda\nThursday 18 November 2021\n[ninja_tables id=”11127″]\n \nFriday 19 November 2021\n[ninja_tables id=”11129″]\n \nRegistration\nRegistrations are now closed for this event. \n————\nThis training is intended for users established in the European Union or a country associated to Horizon 2020.
URL:https://enccs.se/events/openmp-offloading-workshop/
LOCATION:Online
CATEGORIES:ENCCS Event
ATTACH;FMTTYPE=image/jpeg:https://media.enccs.se/2021/10/OpenMP-ENCCS.jpg
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BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20211123T090000
DTEND;TZID=Europe/Stockholm:20211124T160000
DTSTAMP:20260422T043712
CREATED:20211011T095300Z
LAST-MODIFIED:20211019T070509Z
UID:11177-1637658000-1637769600@enccs.se
SUMMARY:Advanced Deep Learning with Transformers - ENCCS/RISE
DESCRIPTION:Overview\nIn recent years\, Graph Neural Networks (GNNs) and Transformers have led to numerous breakthrough achievements in a variety of fields such as Natural Language Processing (NLP)\, chemistry\, and physics. By doing away with the need for fixed-size inputs\, these architectures significantly extend the scope of problems in which deep learning can be applied.\nPreliminary Agenda \nThis workshop will take you from the representation of graphs and finite sets as inputs for neural networks to the implementation of full GNNs for a variety of tasks. You will learn about the central concepts used in GNNs in a hands-on setting using Jupyter Notebooks and a series of coding exercises. While the workshop will use problems from the field of chemistry as an example for applications\, the skills you learn can be transferred to any domain where finite set or graph-based representations of data are appropriate. From GNNs\, we will make the leap to Transformer architectures\, and explain the conceptual ties between the two. \nThe workshop is free of charge and will be conducted fully online using zoom. \nPrerequisites\nTo successfully participate in this workshop\, you should have a good understanding of basic linear algebra and core concepts of deep learning such as CNNs\, stochastic gradient descent\, and supervised learning. You should also be familiar with the implementation of neural networks using PyTorch. A basic conceptual understanding of mathematical graphs is recommended but not a prerequisite. \nAgenda\nTuesday\, 23 November 2021\n[ninja_tables id=”10926″] \nWednesday\, 24 November 2021\n[ninja_tables id=”10927″] \nRegistration\nParticipants have reached the maximum amount so we had to close registrations. Subscribe to our newsletter or follow us on Twitter and LinkedIn where we announce all our new events regularly. \n————\nThis training is intended for users established in the European Union or a country associated to Horizon 2020.
URL:https://enccs.se/events/graph-neural-networks-and-transformers-2/
LOCATION:Online
CATEGORIES:ENCCS Event,RISE Event
ATTACH;FMTTYPE=image/jpeg:https://media.enccs.se/2021/09/Avanced-deep-learning-RISE.jpg
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BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20211129T090000
DTEND;TZID=Europe/Stockholm:20211130T130000
DTSTAMP:20260422T043712
CREATED:20211006T134633Z
LAST-MODIFIED:20211119T080940Z
UID:11139-1638176400-1638277200@enccs.se
SUMMARY:CMake Workshop
DESCRIPTION:Overview\nCMake is a language-agnostic\, cross-platform build tool and is nowadays the de facto standard\, with large projects using it to reliably build\, test\, and deploy their codebases. \nWhat you will learn\n\nWrite a CMake build system for C\, C++\, and Fortran projects producing libraries and/or executables.\nRun tests for your code with CTest.\nEnsure your build system will work on different platforms.\nDetect and use external dependencies in your project.\nSafely and effectively build mixed-language projects (Python+compiled language)\n\nLectures will be held by Roberto Di Remigio. \nAgenda\nDay 1 – Monday 29 November 2021\n[ninja_tables id=”11181″] \nDay 2 – Tuesday 30 November 2021\n[ninja_tables id=”11182″] \nRegistration\nRegistration deadline: 18 November 2021\nRegistrations are now closed. \n————\nThis training is intended for users established in the European Union or a country associated to Horizon 2020.
URL:https://enccs.se/events/cmake-workshop-2/
LOCATION:Online
CATEGORIES:ENCCS Event
ATTACH;FMTTYPE=image/jpeg:https://media.enccs.se/2020/12/CMake-icon-3d-396.jpg
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