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BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20211108T090000
DTEND;TZID=Europe/Stockholm:20211109T121000
DTSTAMP:20260422T235337
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20211111T100000
DTEND;TZID=Europe/Stockholm:20211111T150000
DTSTAMP:20260422T235337
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:20260422T235337
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20211123T090000
DTEND;TZID=Europe/Stockholm:20211124T160000
DTSTAMP:20260422T235337
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20211129T090000
DTEND;TZID=Europe/Stockholm:20211130T130000
DTSTAMP:20260422T235337
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20211206T090000
DTEND;TZID=Europe/Stockholm:20211215T120000
DTSTAMP:20260422T235337
CREATED:20210706T131630Z
LAST-MODIFIED:20211201T135549Z
UID:10522-1638781200-1639569600@enccs.se
SUMMARY:ENCCS/NVIDIA GPU Hackathon
DESCRIPTION:Summary\nGPU Hackathons provide exciting opportunities for scientists to accelerate their AI research or HPC codes under the guidance of expert mentors from National Labs\, Universities and Industry leaders in a collaborative environment. Teams of researchers are paired with experienced GPU mentors to learn and apply the accelerated and parallel computing skills needed by the scientific community. Both current or prospective users of large hybrid CPU/GPU HPC clusters who develop HPC and AI applications that could benefit from GPU acceleration are encouraged to participate!The ENCCS hackathon will be designed for teams to work in productive sprint sessions with expert mentors for a full week. A wide variety of different projects are possible\, for example: \n\nAccelerating applications written in common languages – C/C++\, Fortran\, Python\nUsing OpenACC to gradually offload work to GPUs and incrementally improving the performance\nIdentifying expensive kernels and porting them to CUDA\nProfiling already GPU accelerated applications to find hotspots for further acceleration\n\nThe event is supported by WASP and NSC through the access to BerzeLiUs system. \nPrerequisites\nTeams are expected to bring their own code or project to the event and be motivated to make progress during the hackathon. No advanced GPU skills required\, but teams are expected to know the basics of GPU programming and profiling at the event. A collection of GPU lectures\, tutorials\, and labs are available for all participants at no fee. Please contact organizers for more information to help you prepare for the hackathon. \nSchedule\nThe GPU hackathon will take place on December 6th and December 13-15.  \nGPU Compute Resource\nTeams attending the event will be given access to “Berzelius” for the duration of the hackathon. Berzelius is the premier AI/ML cluster at NSC. To learn more about Berzelius\, please visit the links below for more information. \nBerzelius OverviewBerzelius – Getting Started Guide \nEvent Format\nThe ENCCS GPU Hackathon will be hosted in Stockholm\, Sweden with all times Central European Time (CET). \nParticipation\nTeams submit project proposals which are evaluated based on quality and feasibility. A call for proposals will be announced closer to the event. Invited teams are asked to register all participating team members and start preparing for the hackathon. \nAttending the Hackathon\nIf your team is accepted for the hackathon\, registration information will be provided along with mentor introductions and computational resource access. Accepted teams should: \n\nRegister all team members for the event.\nReview the attendee guide.\n\nRegistration\nRegistrations are closed for this event. \nFollow our Events Schedule\nFollow us on Twitter and subscribe to our Newsletter to stay tuned to our events and other news. \n————This training is intended for users established in the European Union or a country associated to Horizon 2020.
URL:https://enccs.se/events/enccs-gpu-hackathon/
LOCATION:Online
CATEGORIES:ENCCS Event
ATTACH;FMTTYPE=image/jpeg:https://media.enccs.se/2021/07/NVIDIAENCCSGPU-Hackathon.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20211207T090000
DTEND;TZID=Europe/Stockholm:20211208T160000
DTSTAMP:20260422T235337
CREATED:20211020T085123Z
LAST-MODIFIED:20211125T120449Z
UID:11325-1638867600-1638979200@enccs.se
SUMMARY:ONLINE PATC: OpenFOAM training workshop
DESCRIPTION:Summary\n\n\n\nOpenFOAM is a widely-used open-source code in computational fluid dynamics (CFD).  OpenFOAM uses finite volume method to solve governing equations of fluid motion through modules written in C++.  This workshop will cover all foundational aspects of OpenFOAM\, including an introduction to OpenFOAM enviroment as well as running on HPC resources.  It will be useful for new users to broaden their basic knowledge of OpenFOAM. \n\n\n\nThe training will run on the KTH PDC Dardel system. For Dardel specs and the details\, see https://www.pdc.kth.se/hpc-services/computing-systems. \n\n\n\nThis course will be provided in cooperation with EXCELLERAT. \n\n\n\nPrerequisites\n\n\n\nBasic knowledge of using Linux will be required. Participants are expected to know basic numerical analysis and have CFD theoretical background. \n\n\n\nRegistration\n\n\n\nYou can register by following this link \n\n\n\nhttps://events.prace-ri.eu/event/1278/registrations/938/
URL:https://enccs.se/events/on-line-patc-openfoam-training-workshop/
LOCATION:Online
CATEGORIES:Collaboration Event,ENCCS Event
ATTACH;FMTTYPE=image/jpeg:https://media.enccs.se/2021/10/OpenFOAM-thumbnail-34.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20220126T090000
DTEND;TZID=Europe/Stockholm:20220126T120000
DTSTAMP:20260422T235338
CREATED:20211118T105249Z
LAST-MODIFIED:20220120T091613Z
UID:11639-1643187600-1643198400@enccs.se
SUMMARY:A.I. as a Tool for Change
DESCRIPTION:Overview\nENCCS with RISE offer a half-day course in A.I. as a tool for change. Participants will get an understanding of what artificial intelligence is\, which problems can be solved with those techniques\, and how they can be used within an organization.\nWe will give an overview on what processes one goes through when they utilize A.I. to solve problems. We are also going to illuminate the limitations of those techniques and give examples of when they are appropriate. \nApproach\n3-hour workshop\, divided in 3 parts. The course is going to be given by Erik Ylipää and Jeanette Nilsson from RISE. \nPrerequisites\nNo previous experience required. \nAgenda\nWednesday 26 January 2022\n[ninja_tables id=”11645″]\n \nRegistration\nYou can register by following this link https://events.prace-ri.eu/event/1289/registrations/949/ \n————\nThis training is intended for users established in the European Union or a country associated to Horizon 2020.
URL:https://enccs.se/events/2022-01-ai-as-a-tool-for-change/
LOCATION:Online
CATEGORIES:ENCCS Event,RISE Event
ATTACH;FMTTYPE=image/jpeg:https://media.enccs.se/2021/02/RISE-AI-2.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20220201T090000
DTEND;TZID=Europe/Stockholm:20220203T120000
DTSTAMP:20260422T235338
CREATED:20211122T115138Z
LAST-MODIFIED:20220114T083155Z
UID:11670-1643706000-1643889600@enccs.se
SUMMARY:Upscaling A.I. with Containers
DESCRIPTION:Overview\nActive practitioners in deep learning primarily develop and train their networks on local computing devices. Nonetheless\, the accuracy of such networks is dependent on their depth and the amount of training data. Moreover\, since local computing devices such as laptops or clusters provide limited computational capacity\, training a deep neural network (NN) requires access to large clusters\, i.e.\, supercomputers. \nIn this workshop\, we will learn the basics of containers\, how to work with Docker and Singularity\, and how to run distributed training using the Horovod framework on a supercomputer. \nThe workshop will be entirely online using zoom. \nOutcomes\n\nYou will be able to create\, deploy\, and update containers locally or on a cluster.\nYou will train\, and upscale traditional Convolutional NN (CNN) in TensorFlow.\nYou will learn to upscale CNN using Horovod.\n\nPrerequisites\nBasic knowledge of UNIX OS and familiarity with NNs are required. \nPreliminary Agenda\nDay 1 – Tuesday 1 February 2022\n[ninja_tables id=”11680″] \nDay 2 – Wednesday 2 February 2022\n[ninja_tables id=”11681″] \nDay 3 – Thursday 3 February 2022\n[ninja_tables id=”11682″] \nRegistration\nTo register for this event\, please follow this link https://events.prace-ri.eu/event/1292/registrations/952/. \nFor questions regarding this event please contact us at training@enccs.se. \n————\nThis training is intended for users established in the European Union or a country associated to Horizon 2020.
URL:https://enccs.se/events/2022-02-upscaling-ai-with-containers/
LOCATION:Online
CATEGORIES:ENCCS Event
ATTACH;FMTTYPE=image/jpeg:https://media.enccs.se/2021/11/AI-with-containers.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20220207T090000
DTEND;TZID=Europe/Stockholm:20220209T123000
DTSTAMP:20260422T235338
CREATED:20211220T075014Z
LAST-MODIFIED:20220114T083136Z
UID:11912-1644224400-1644409800@enccs.se
SUMMARY:GROMACS Workshop - ENCCS/CSC/BioExcel
DESCRIPTION:Overview\nThis course gives advanced practical tips on how to run GROMACS MD simulations efficiently on modern hardware including both CPUs and GPUs. In addition to speeding up MD simulations\, also workflow automation\, advanced sampling techniques\, and future developments are discussed. The course consists of lectures and hands-on exercises. GROMACS will be used in the exercise sessions. \nThe event is organized in collaboration with BioExcel\, CSC\, ENCCS and supported by EuroCC. \nLearning Outcome\nAfter the course the participants should have the skills and knowledge needed to 1) efficiently use CPU and GPU resources in GROMACS simulations 2) apply workflows and python API for GROMAC simulations and 3) run QM/MM simulations. \nPrerequisites\nThe participants are required to be familiar with MD\, have working knowledge of GROMACS\, and basics of BioBB\, also basic Python and Linux/Unix skills are required. The fundamentals of MD or basic usage of GROMACS are not covered on this course. Please consult the following materials\, if you’re uncertain of your Python\, Linux or GROMACS or BioBB skills: \n\nLectures on the basis of molecular dynamics simulation (videolinks: part I\, part II)\nMD with GROMACS tutorials (link)\nA basic Python introduction (link\, available also via CSC Notebooks)\, in addition to the very basics\, knowing functions\, decorators and ‘with’ context manager will be useful.\nA short guide to Jupyter Notebook (pdf)\nLinux commands\, bash shell\, a quiz and a link to intro course (link)\nBioBB introductory videos (link)\, installation tutorials (link) and demonstration workflows (link)\n\nGPU Compute Resources\nCSC’s Puhti supercomputer will be used for the hands-on exercises. \nLecturers\n\nDr. Alessandra Villa\, PDC Center for High Performance Computing\, KTH Royal Institute of Technology\nDr. Berk Hess\, Theoretical and Computational Biophysics\, KTH Royal Institute of Technology\nDr. Adam Hospital\, Molecular Modelling and Bioinformatics\, Institute of Research in Biomedicine\, Barcelona\nDr. Eric Irrgang\, Department of Molecular Physiology and Biological Physics\, University of Virginia\, Charlottesville\nDr. Dmitry Morozov\, Department of Chemistry\, University of Jyväskylä\nDr. Artem Zhmurov\, The EuroCC National Competence Center Sweden (ENCCS)\, Stockholm\n\nAgenda & Registration\nFor updated agenda and registration please follow this link https://ssl.eventilla.com/attend/mWeRZ \n————\nThis training is intended for users established in the European Union or a country associated to Horizon 2020.
URL:https://enccs.se/events/gromacs-2022-02/
LOCATION:Online
CATEGORIES:Collaboration Event,ENCCS Event
ATTACH;FMTTYPE=image/jpeg:https://media.enccs.se/2021/05/Gromacs-logo.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20220215T090000
DTEND;TZID=Europe/Stockholm:20220216T120000
DTSTAMP:20260422T235338
CREATED:20211126T091447Z
LAST-MODIFIED:20220204T170718Z
UID:11704-1644915600-1645012800@enccs.se
SUMMARY:Julia for High-Performance Scientific Computing
DESCRIPTION:Overview\nJulia is a modern high-level programming language which is both 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. The 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 know-how to get started using them.\nBe familiar with key Julia libraries for scientific modeling\, 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\, Jupyter and Zoom before the workshop starts. \nPreliminary Agenda\nTuesday 15 February 2022 \n[ninja_tables id=”12602″] \nWednesday 16 February 2022 \n[ninja_tables id=”12603″] \nRegistration\nPlease register by following this link https://events.prace-ri.eu/event/1294/registrations/954/ \nFor questions regarding this event please contact us at training@enccs.se. \n————\nThis training is intended for users established in the European Union or a country associated to Horizon 2020.
URL:https://enccs.se/events/2022-02-julia-for-high-performance-scientific-computing/
LOCATION:Online
CATEGORIES:ENCCS Event
ATTACH;FMTTYPE=image/jpeg:https://media.enccs.se/2021/11/julia-enccs-2-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20220222T090000
DTEND;TZID=Europe/Stockholm:20220223T120000
DTSTAMP:20260422T235338
CREATED:20211126T093907Z
LAST-MODIFIED:20220218T150334Z
UID:11711-1645520400-1645617600@enccs.se
SUMMARY:Introduction to Deep-Learning
DESCRIPTION:Overview\nThe use of Deep Learning has seen a sharp increase of popularity and applicability over the last decade. While Deep Learning can be a useful tool for researchers from a wide range of domains\, taking the first steps in the world of Deep Learning can be somewhat intimidating. This introduction aims to cover the basics of Deep Learning in a practical and hands-on manner\, so that upon completion\, you will be able to train your first neural network and understand what next steps to take to improve the model. \nWe start with explaining the basic concepts of neural networks\, and then go through the different steps of a Deep Learning workflow. Learners will learn how to prepare data for deep learning\, how to implement a basic Deep Learning model in Python with Keras\, how to monitor and troubleshoot the training process and how to implement different layer types such as convolutional layers. \nAfter attending the workshop\, you should be able to: \n\nPrepare input data for use for deep learning\nDesign and train a Deep Neural Network\nTroubleshoot the learning process\nMeasure the performance of the network\nVisualise data and results\nRe-use existing network architectures with and without pre-trained weights\n\nPrerequisites\nParticipants are expected to have basic Python programming skills and familiarity with the Pandas package. Basic knowledge of statistics is also beneficial. \nPreliminary Agenda\nTuesday 22 February 2022 \n[ninja_tables id=”13063″] \nWednesday 23 February 2022 \n[ninja_tables id=”13064″] \nRegistration\nPlease register by following this link https://events.prace-ri.eu/event/1295/registrations/955/ \nFor questions regarding this event please contact us at training@enccs.se. \n————\nThis training is intended for users established in the European Union or a country associated to Horizon 2020.
URL:https://enccs.se/events/2022-02-introduction-to-deep-learning/
LOCATION:Online
CATEGORIES:ENCCS Event
ATTACH;FMTTYPE=image/jpeg:https://media.enccs.se/2021/11/Deep-learning-2-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20220303T090000
DTEND;TZID=Europe/Stockholm:20220304T120000
DTSTAMP:20260422T235338
CREATED:20220114T123640Z
LAST-MODIFIED:20220204T090618Z
UID:12267-1646298000-1646395200@enccs.se
SUMMARY:VeloxChem: Quantum Chemistry Towards Pre-exascale and Beyond - ENCCS/PDC
DESCRIPTION:Overview\nQuantum molecular modeling of complex molecular systems is an indispensable and integrated component in advanced material design\, as such simulations provide a microscopic insight into the underlying physical processes. ENCCS and PDC will offer training on using the VeloxChem program package. We will highlight its efficient use on modern HPC architectures\, such as the Dardel system at PDC and the pre-exascale supercomputer LUMI\, 50% of which is available to academic users of the consortium states\, including Sweden and Denmark. This event is for researchers and students already familiar with quantum chemistry that want to learn how to: \n\nPerform quantum chemical simulations of ground- and excited-state properties on large systems and with efficient use of HPC resources.\nUnderstand the performance considerations that influence algorithm design in quantum chemistry.\nEvaluate the best setup for large scale quantum chemical simulations on HPC hardware.\n\nLearning outcomes\nIn this workshop\, you will learn how to use the VeloxChem program package to: \n\nPerform quantum chemical simulations of ground- and excited-state properties of large systems.\nLeverage the aggregate resources of the modern HPC architectures like Dardel and the pre-exascale supercomputer LUMI to efficiently tackle large molecular systems.\nUse the Python application programming interface (API) of VeloxChem to analyze your results.\n\nPrerequisites\nWe assume that participants have: \n\nA sufficiently thorough prior knowledge of self-consistent field theory\, at the level presented in the Modern Quantum Chemistry textbook by Szabo and Ostlund.\nWorked previously with other quantum chemical software packages.\nSome familiarity with the Python programming language.\n\nAgenda\nTo be announced soon. \nRegistration\nPlease register by following this link https://events.prace-ri.eu/event/1291/registrations/951/ \nContact\nFor questions regarding this event please contact us at training@enccs.se. \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/events-2022-march-veloxchem-workshop/
LOCATION:Online
CATEGORIES:Collaboration Event,ENCCS Event
ATTACH;FMTTYPE=image/jpeg:https://media.enccs.se/2021/11/Veloxchem-34-event.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20220315T090000
DTEND;TZID=Europe/Stockholm:20220316T160000
DTSTAMP:20260422T235338
CREATED:20211126T144630Z
LAST-MODIFIED:20220217T083416Z
UID:11721-1647334800-1647446400@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. \nThis workshop will take you from the representation of graphs 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 sets 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 and be comfortable manipulating multidimensional arrays\, using frameworks such as NumPy or PyTorch\, at the level where you understand how broadcasting works. A basic conceptual understanding of mathematical graphs is recommended but not a prerequisite. \nAgenda\nTuesday\, 15 March 2022\n[ninja_tables id=”11724″] \nWednesday\, 16 March 2022\n[ninja_tables id=”11723″] \nRegistration\nYou can register by following this link https://events.prace-ri.eu/event/1298/registrations/958/\nFor questions regarding this event please contact us at training@enccs.se. \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/2022-02-graph-neural-networks-and-transformers/
LOCATION:Online
CATEGORIES:ENCCS Event,RISE Event
ATTACH;FMTTYPE=image/jpeg:https://media.enccs.se/2021/09/Avanced-deep-learning-RISE.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20220419T090000
DTEND;TZID=Europe/Stockholm:20220421T121000
DTSTAMP:20260422T235338
CREATED:20220215T140832Z
LAST-MODIFIED:20230116T102618Z
UID:13079-1650358800-1650543000@enccs.se
SUMMARY:SYCL Workshop
DESCRIPTION:Overview\nWelcome to this ENCCS SYCL workshop \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 executables 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\nTutors\nThis workshop will be given by ENCCS expert Roberto Di Remigio Eikås\, PhD. \nHelpers: \n\nStig Rune Jensen (NRIS)\nAndrey Alekseenko (KTH)\nJørgen Nordmoen (NRIS)\n\nComputing Resources\nSupercomputer Karolina is going to provide computing resources for this workshop. \n \nPreliminary Agenda\nTuesday 19 April 2022\n \n[ninja_tables id=”13375″] \nWednesday 20 April 2022 \n[ninja_tables id=”13376″] \nThursday 21 April 2022 \n[ninja_tables id=”13377″] \nRegistration\nYou can register by visiting this link https://events.prace-ri.eu/event/1351/registrations/998/. \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/04-2022-sycl/
LOCATION:Online
CATEGORIES:ENCCS Event
ATTACH;FMTTYPE=image/jpeg:https://media.enccs.se/2022/02/SYCL-it4i-enccs.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20220425T090000
DTEND;TZID=Europe/Stockholm:20220426T120000
DTSTAMP:20260422T235338
CREATED:20220316T125827Z
LAST-MODIFIED:20230116T102618Z
UID:13937-1650877200-1650974400@enccs.se
SUMMARY:Upscaling A.I. Workflows
DESCRIPTION:Overview\nSupervised training of large networks requires large labeled datasets\, which in turn demand high computational costs. While active practitioners in deep learning primarily develop and train their networks on local computing devices\, with the increase of networks complexity\, there is an urgent need to create\, train\, and test models on clusters. \nIn this workshop\, we overview the basics of Docker and Singularity. (Working knowledge of Singularity as given in the Uppmax workshop on Singularity is desirable.) Distributed training using TensorFlow and Horovod frameworks on a supercomputer will be covered. Moreover\, it will be shown how to use Singularity containers in conjunction with TensorFlow and Horovod to upscale an AI app. \nThe workshop will be entirely online using zoom. \nOutcomes\n\nCreate\, deploy\, and update containers locally on a supercomputer\nUpscale the transfer learning of an NLP model in TensorFlow\nUpscale the transfer learning of an NLP model using Horovod\nUpscale the transfer learning of a containerized NLP model\n\nPrerequisites\nBasic knowledge of UNIX OS and familiarity with NNs are required. \nPreliminary Agenda\nTo be announced soon\, \nRegistration\nThe event is fully booked. \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/2022-04-upscaling-ai-with-containers/
LOCATION:Online
CATEGORIES:ENCCS Event
ATTACH;FMTTYPE=image/jpeg:https://media.enccs.se/2022/03/upscaling-ai-workflows-4ff.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20220518T090000
DTEND;TZID=Europe/Stockholm:20220520T120000
DTSTAMP:20260422T235338
CREATED:20220324T112807Z
LAST-MODIFIED:20230116T102618Z
UID:14147-1652864400-1653048000@enccs.se
SUMMARY:High Performance Data Analytics in Python
DESCRIPTION:Overview\nPython is an industry-standard programming language for working with data on all levels of the data analytics pipeline\, thanks to the rich ecosystem of libraries ranging from generic numerical libraries to special-purpose and/or domain-specific packages which are often supported by large developer communities and stable funding sources. \nThis online workshop is meant to give an overview of working with research data in Python using general libraries for storing\, processing\, analysing and sharing data. The focus is on improving performance. After covering tools for performant processing (netcdf\, numpy\, pandas\, scipy) on single workstations the focus shifts to parallel\, distributed and GPU computing (snakemake\, numba\, dask\, multiprocessing\, mpi4py). \nPreliminary Agenda\nWednesday 18 May 2022 \n[ninja_tables id=”14561″] \nThursday 19 May 2022 \n[ninja_tables id=”14562″] \nFriday 20 May 2022 \n[ninja_tables id=”14563″] \nTutors\n\nQiang Li\, ENCCS\nKjartan Thor Wikfeldt\, ENCCS\n\nRegistration\nThis event is fully booked. \nFor questions regarding this event\, feel free to 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/2022-05-hpda-python/
LOCATION:Online
CATEGORIES:ENCCS Event
ATTACH;FMTTYPE=image/jpeg:https://media.enccs.se/2022/03/HPDA-python-workshop-36.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20220608T090000
DTEND;TZID=Europe/Stockholm:20220609T160000
DTSTAMP:20260422T235338
CREATED:20220318T110308Z
LAST-MODIFIED:20230116T102617Z
UID:14090-1654678800-1654790400@enccs.se
SUMMARY:Introduction to Quantum Computing & Hybrid HPC-QC Systems
DESCRIPTION:Overview\nRecent developments in quantum technology are bringing the world closer to a new technological revolution – the advent of usable quantum computers able to provide enormous acceleration to important computational tasks​. In coming years\, quantum computing is expected to have a huge impact on practically all areas of research that can utilise computational modelling. \nStarting operations in April this year\, the NordΙQuEst project brings together a consortium of seven partners from five Nordic and Baltic countries to connect world-leading traditional HPC resources and quantum computers across national borders with the aim to establish a quantum computing platform customised to the needs of the region. \nENCCS is now joining forces with NordIQuEst to deliver a two-day training workshop covering the fundamentals of quantum computing (QC)\, including: \n\nIntroduction to key concepts: quantum states\, qubits\, quantum algorithms\nQC programming in high-level languages for use cases in optimisation\, finance and quantum chemistry followed by testing quantum programs to esure their correctness\nOverview of the main QC hardware approaches\nIntegration of QC with classical computing: hybrid classical/quantum algorithms and HPC-QC systems.\n\nMorning lectures are combined with afternoon hands-on sessions where participants learn to use high-level QC programming languages using simulators. \nPrerequisites\nFor the hands-on training sessions\, basic familiarity with Python and some experience working in a Unix environment are desirable. No previous experience with quantum computers expected. \nPreliminary Agenda\nWednesday\, 8 June 2022 \n[ninja_tables id=”14101″] \nThursday\, 9 June 2022 \n[ninja_tables id=”14102″] \nRegistration\nRegistrations are now closed for this event. \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/2022-06-quantum-computing/
LOCATION:Online
CATEGORIES:Collaboration Event,ENCCS Event
ATTACH;FMTTYPE=image/jpeg:https://media.enccs.se/2022/03/Quantum-computing-enccs-nordiquest.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20220614T090000
DTEND;TZID=Europe/Stockholm:20220617T123000
DTSTAMP:20260422T235338
CREATED:20220421T122326Z
LAST-MODIFIED:20230116T102617Z
UID:14769-1655197200-1655469000@enccs.se
SUMMARY:Intermediate Topics in MPI
DESCRIPTION:This workshop targets programmers in both academia and industry who already have experience with basic MPI and are ready to take the next step to more advanced usage. Topics which will be covered include communicators\, groups\, derived data types\, one-sided communication\, non-blocking collectives and hybrid MPI+threading approaches. Lectures will be interleaved with hands-on exercises. All exercises will be written in C\, but the instructors will be able to answer questions about MPI in Fortran and Python. \nFor this workshop ENCCS partners up with our friends at PDC and HPC2N. \nThe Message Passing Interface (MPI) is the de facto standard for distributed memory parallelism in high performance computing (HPC). MPI is the dominant programming model for modern day supercomputers and will continue to be critical in enabling researchers to scale up their HPC workloads to forthcoming pre-exascale and exascale systems within EuroHPC and elsewhere. \nPre-requisites\n\nFamiliarity with MPI in C/C++\, Fortran or Python\, either from introductory courses or workshops (e.g. PDC’s Introduction to MPI\, or SNIC’s introduction to parallel programming course) or through self-taught usage.\nFamiliarity with C/C++\nBasic Linux command line skills\nExisting access to a computing cluster or own computer with MPI and compilers installed.\n\nInstructors\n\nXin Li\, PhD\nPedro Ojeda May\, PhD\nRoberto Di Remigio Eikås\, PhD\n\nTentative schedule\nDay 1 – Tuesday 14 June 2022 – Communicators\, groups\, derived datatypes\n[ninja_tables id=”14774″] \nDay 2 – Wednesday 15 June 2022 – Collective communication (including nonblocking)\n[ninja_tables id=”14776″] \nDay 3 – Thursday 16 June 2022 – One-sided communication\n[ninja_tables id=”14777″] \nDay 4 – Friday 17 June 2022 – MPI and threads\n[ninja_tables id=”14778″] \nTraining material\nhttps://enccs.github.io/intermediate-mpi/ \nRegistration\nTo register for this event please follow this link https://events.prace-ri.eu/event/1395/registrations/1037/ \nContact\nFor questions please contact us at training@enccs.se.
URL:https://enccs.se/events/2022-06-intermediate-topics-in-mpi/
LOCATION:Online
CATEGORIES:Collaboration Event,ENCCS Event
ATTACH;FMTTYPE=image/jpeg:https://media.enccs.se/2022/04/Intermediate-MPI-3r.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20220901T090000
DTEND;TZID=Europe/Stockholm:20220902T130000
DTSTAMP:20260422T235338
CREATED:20220704T092222Z
LAST-MODIFIED:20230116T102617Z
UID:15918-1662022800-1662123600@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\nTo be announced soon. \nRegistration\nRegistrations are open. Please register by following this link https://events.prace-ri.eu/event/1415/registrations/1050/ \n————\nThis training is intended for users established in the European Union or a country associated to Horizon 2020.
URL:https://enccs.se/events/2022-9-cmake-workshop/
LOCATION:Online
CATEGORIES:ENCCS Event
ATTACH;FMTTYPE=image/jpeg:https://media.enccs.se/2020/12/CMake-icon-3d-396.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20221004T080000
DTEND;TZID=Europe/Stockholm:20221007T130000
DTSTAMP:20260422T235338
CREATED:20220929T112702Z
LAST-MODIFIED:20241031T070210Z
UID:17264-1664870400-1665147600@enccs.se
SUMMARY:HPC for research and development - EuroCC Latvia/ENCCS
DESCRIPTION:Overview\n\n\n\nWe invite you to take part in a scientific workshop “HPC for research and development” taking place from October 4 to October 6 at “Avalon hotel Riga” (Address: 13th January street 19\, Riga\, Latvia). \n\n\n\nEach day will be dedicated to a specific topic – achievements and prospects\, best practices in Europe on training and education\, as well as oven-ready HPC applications. \n\n\n\nWe invite everyone – scientists and other members of academia\, public sector representatives\, as well as industry – to take part in the workshop. The agenda will be relevant to everyone interested in scientific achievements and their practical use in different fields. \n\n\n\nDuring the scientific workshop\, participants will be introduced to opportunities given by HPC at different centres of excellence in Europe as well as achievements in Latvia. Practical examples for using the HPC will be given as well. \n\n\n\nThe event is planned on-site\, however\, there will be a possibility to join via Zoom platform. The link will be sent to registered participants who will have chosen the option to participate remotely. \n\n\n\nIn order to take part\, please register using this link https://www.eventbrite.fi/e/scientific-workshop-hpc-for-research-and-development-tickets-425646388807?aff=ebdssbdestsearch. \n\n\n\nAgenda\n\n\n\nFor updated agenda please visit the event’s webpage by following this link https://eurocc-latvia.lv/workshop-hpc-for-research-and-development/?lang=en.
URL:https://enccs.se/events/hpc-for-research-and-development/
CATEGORIES:Collaboration Event,ENCCS Event
ATTACH;FMTTYPE=image/png:https://media.enccs.se/2022/09/October-4-6-2022-Riga-Latvia-3-845x684-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20221010T093000
DTEND;TZID=Europe/Stockholm:20221011T163000
DTSTAMP:20260422T235338
CREATED:20220815T122536Z
LAST-MODIFIED:20230116T102617Z
UID:16563-1665394200-1665505800@enccs.se
SUMMARY:ENCCS Industry Days 2022
DESCRIPTION:Overview\nENCCS is organizing the Swedish HPC Industry Day 2022\, 10-11 October. This event will provide a comprehensive introduction to HPC targeted toward a broad audience\, for example: \n\nFor companies that have an AI solution on their laptop but are eager to run on larger datasets\,\norganizations that simulate market stocks\, macroeconomic predictions or similar\,\npublic authorities working with air pollution modeling\, or training neural language models\,\nand much more\n\nWe invite you to join us for the “ENCCS Industry days 2022“. A day full of experience\, exchange\, and exploration of possibilities to use HPC and obtain support in improving your software solutions. \n\nHow can small businesses take advantage of HPC for free using EuroHPC JU resources?\nWhat can be learnt from scientific areas that traditionally use HPC?\nHow can businesses use HPC to improve their services or products?\n\nLeading people from Sweden and around the world will provide success stories and use cases\, and lead discussions on the use of HPC in the industry. \nPreliminary Agenda\nYou can check the agenda here\nhttps://media.enccs.se/2022/09/Agenda-industry-days.pdf \nVenue\nIndustry days 2022 will take place in Innoverseum at Drottning Kristinas Väg 61\, 4th flour \nSocial events\n\nOctober 10th\, 18:00 – Dinner at Vasa Museum’s restaurant – Google maps https://goo.gl/maps/gYhRgP1z56LNuk879\nOctober 11th\, 18:30 – Dinner at Fem små hus – Google maps https://g.page/FemSmaHus?share\n\nConference Slides\nBelow you can find the presentations of the conference. \nDay 1 \n\nLilit Axner – ENCCS\nJeannette Spuhler – Vinnova – Innovate Sweden\nAnders Dam Jensen – EuroHPC JU – The European Approach to the Exascale Challenge\nBrendan McGinty – NCSA – Industry Overview and Best Practices\nRoger Kvam-Norwegian Research Infrastructure Services (NRIS)\nKalle Kantola-VTT Finland – Approaches for accelerating HPC impact in industry\nMatteo Ambrosetti – Northvolt AB – Multiscale Methodologies for Electrolyte Characterization\nEmil Krutmeijer – Compular AB – Innovative analysis software improving battery materials development\nMagnus Lundborg – ERCO Pharma – Predicting Skin Permeability Using Molecular Dynamics Simulations\nLove Börjeson – National Library of Sweden – Leveraging the collections of cultural heritage institutions using HPC\n\nDay 2 \n\nMagnus Friberg – Swedish Research Council (Vetenskapsrådet) – The Swedish EuroHPC organization and how to get involved\nMartin Körling – RISE – HPC as a Service\nErik Lenas – Swedish National Archives (Riksarkivet) – ENCCS and Vega in Support of Large-Scale Digitization of Archival Materials\nMagnus Sahlgren – AI Sweden – GPT-SW3: a foundational resource for Swedish NLP\nGöran Wendin – Chalmers University – HPC+QC\, NordIQuEst and the Future of Quantum Computing\nJon Paul Janet – AstraZeneca – Accelerating drug design with AI & simulation\n11 Johan Eker – Achref Rabhi – Ericsson – Large scale computations for 5G &6G
URL:https://enccs.se/events/enccs-industry-days-2022/
LOCATION:Stockholm
CATEGORIES:ENCCS Event
ATTACH;FMTTYPE=image/jpeg:https://media.enccs.se/2022/08/enccs-industry-days-2022.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20221108T090000
DTEND;TZID=Europe/Stockholm:20221110T120000
DTSTAMP:20260422T235338
CREATED:20220912T144307Z
LAST-MODIFIED:20230116T102617Z
UID:17051-1667898000-1668081600@enccs.se
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
ATTACH;FMTTYPE=image/jpeg:https://media.enccs.se/2021/11/julia-enccs-2-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20221114T090000
DTEND;TZID=Europe/Stockholm:20221117T130000
DTSTAMP:20260422T235338
CREATED:20221005T155426Z
LAST-MODIFIED:20230116T102617Z
UID:17592-1668416400-1668690000@enccs.se
SUMMARY:Efficient materials modelling on HPC with QUANTUM ESPRESSO\, Yambo and BigDFT
DESCRIPTION:Overview\nIn recent years\, computing technologies underlying materials modelling and electronic structure calculation have evolved rapidly. High-performance computing (HPC) is transitioning from petascale to exascale\, while individual compute nodes are increasingly based on heterogeneous architectures that every year become more diversified due to different vendor choices. In this environment\, electronic structure codes also have to evolve fast in order to adapt to new hardware facilities. Nowadays\, state-of-the-art electronic structure codes based on modern density functional theory (DFT) methods allow treating realistic molecular systems with a very high accuracy. However\, due to the increased complexity of the codes\, some extra skills are required from users in order to fully exploit their potential.  This workshop will give a broad overview of important fundamental concepts for molecular and materials modelling on HPC\,  with a focus on three of the most modern codes for electronic structure calculations (QUANTUM ESPRESSO\, Yambo and BigDFT). Theory sections will be interleaved with practical demonstrations and hands-on exercises where participants will put their new knowledge to the test on the Vega EuroHPC JU supercomputer. \nQUANTUM ESPRESSO is one of the most popular suites of computer codes for electronic-structure calculations and materials modelling at the nanoscale\, based on density-functional theory\, plane waves\, and pseudopotentials. It is able to predict and give fundamental insights about many properties of materials\, molecular systems\, micro and nanodevices\, biological systems\, in many fields\, providing a huge amount of data for data-driven science applications. \nYAMBO is an open-source code implementing first-principles methods based on Green’s function (GF) theory to describe excited-state properties of realistic materials. These methods include the GW approximation\, the Bethe Salpeter equation\, nonequilibrium GF (NEGF) and TDDFT\, allowing for the prediction of accurate quasiparticle energies (e.g. ARPES band structures)\, linear and non-linear optical properties\, capturing the physics of excitons\, plasmons\, and magnons. It is also possible to calculate temperature-dependent electronic and optical properties via electron-phonon coupling and nonequilibrium and non-linear optical properties via NEGF real-time simulations (pump-probe experiments\, etc). \nBigDFT is an open source density functional theory code which uses a Daubechies wavelet basis set which facilitates optimal features of flexibility\, performance and precision. In addition to the traditional cubic-scaling DFT approach\, BigDFT also contains an approach which scales linearly with the number of atoms\, enabling DFT calculations of large systems containing many thousands of atoms which were impractical to simulate even very recently. BigDFT consists of a package suite with a wide variety of features\, from ground-state quantities to excited state quantities based on time-dependent DFT and constrained DFT\, to potential energy surface exploration techniques. It uses dual space Gaussian type norm-conserving pseudopotentials including those with non-linear core corrections\, which have proven to deliver all-electron precision. Its flexible Poisson solver can handle a number of different boundary conditions including free\, wire\, surface\, and fully periodic\, while it is also possible to simulate implicit solvents as well as external electric fields. Finally\, BigDFT has been designed to exploit HPC from the outset\, with a hybrid MPI/OpenMP approach\, as well as efficient exploitation of GPUs for hybrid functional calculations. \nMAX (MAterials design at the eXascale) is a European Centre of Excellence which enables materials modelling\, simulations\, discovery and design at the frontiers of the current and future High-Performance Computing (HPC)\, High Throughput Computing (HTC) and data analytics technologies.  MaX’s challenge lies in bringing the most successful and widely used open-source\, community codes in quantum simulations of materials towards exascale and extreme scaling performance and make them available for a large and growing base of researchers in the materials’ domain. \nWhat you will learn\nIn this workshop\, participants will learn how to launch the most common types of calculations  (e.g. scf\, phonons\, quasi-particle energies\, time-dependent properties) using QE\, Yambo and BigDFT\, how to prepare input files and how to read output files in order to extract the desired properties. \nBest practices for efficient exploitation of HPC resources will be discussed\, with particular emphasis on how to use the different schemes of data distribution (e.g. plane waves\, pools\, images) in combination with the different parallelization and acceleration schemes (MPI\, OpenMP\, GPU-offload) available in QE.  \nPrerequisites\nThis workshop is aimed towards researchers and engineers who already have some previous experience with materials modelling and electronic structure calculations: \n\nSome familiarity with density functional theory (DFT)\, self-consistent field (SCF) calculations and plane wave basis sets is desirable as the workshop will not cover the fundamental theory of these topics.\nFamiliarity with working in a Linux environment and some experience with working on an HPC system is needed to participate in the hands-on exercises.\n\nTentative agenda\nNov 14 – QUANTUM ESPRESSO (pwscf) \n[ninja_tables id=”17595″] \nNov 15 – QUANTUM ESPRESSO (linear response) and AiiDA \n[ninja_tables id=”17596″] \nNov 16 – Yambo \n[ninja_tables id=”17597″] \nNov 17 – BigDFT \n[ninja_tables id=”17598″] \nRegistration\nRegistration is now closed. \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-efficient-materials-modelling/
LOCATION:Online
CATEGORIES:ENCCS Event
ATTACH;FMTTYPE=image/jpeg:https://media.enccs.se/2022/10/MAX-CoE-workshop-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20221129T130000
DTEND;TZID=Europe/Stockholm:20221202T170000
DTSTAMP:20260422T235338
CREATED:20220915T080751Z
LAST-MODIFIED:20230116T102543Z
UID:17149-1669726800-1670000400@enccs.se
SUMMARY:Developing Applications with the AMD ROCm Ecosystem
DESCRIPTION:Presented by AMD in collaboration with ENCCS. \nThis four half-day online workshop will cover how to develop and port applications to run on AMD GPU and CPU hardware on top AMD-powered supercomputers. Participants will learn about the ROCm software development languages\, libraries\, and tools. They will also get a developer’s view of the hardware that powers the system. This workshop will focus mostly on how to program applications to run on the GPU. \nIn this workshop participants will work on hardware provided by AMD cloud. \nPrerequisites\nParticipants will be expected to have prior experience developing HPC applications\, and some understanding of recent HPC computer hardware and the Linux operating system. \nAgenda\nNov 29\, 2022\, 13:00-17:00 — Programming Environments \n\nThe ROCm Software Development Ecosystem\nHIP (George Markomanolis\, AMD)\nHipify — CUDA to HIP\nGetting Started with OpenMP® Offload Applications on AMD Accelerators (Jose Noudohouenou\, AMD)\nDeveloping Fortran Applications\, HIPFort & Flang (Joe Schoonover\, Fluid Numerics)\n\nNov 30\, 2022\, 13:00-17:00 — Understanding the Hardware \n\nThe AMD MI250X GPUs\nThe AMD EPYC Trento CPUs\nAMD Communication Fabrics\nMemory Systems\nAffinity — Placement\, Ordering and Binding\nRoofline Model (Noah Wolfe\, AMD)\n\nDec 1\, 2022\, 13:00-17:00 — Tools \n\nDebuggers — rocgdb\nProfilers — from rocprof to Omnitrace and beyond (Jonathan Madsen and Nick Curtis\, AMD)\nAdditional Tools and Resources\n\nDec 2\, 2022\, 13:00-17:00 — Special Topics \n\nUsing OpenMP® (Michael Klemm\, AMD)\nTips and Tricks\n\nRegistration\nThis event is now full. Please check our event list for more events. \nContact\nFor any questions contact us at training@enccs.se \nFollow our Events Schedule\nFollow us on Twitter and subscribe to our Newsletter to stay tuned to our events and other news.\n\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-amd-gpu-workshop/
LOCATION:Online
CATEGORIES:ENCCS Event
ATTACH;FMTTYPE=image/jpeg:https://media.enccs.se/2022/09/AMD-workshop-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20230126T090000
DTEND;TZID=Europe/Stockholm:20230131T130000
DTSTAMP:20260422T235338
CREATED:20221204T180446Z
LAST-MODIFIED:20230116T102538Z
UID:18600-1674723600-1675170000@enccs.se
SUMMARY:Targeting chemical accuracy with quantum Monte Carlo on LUMI
DESCRIPTION:Quantum mechanical simulations play an important role in scientific and industrial applications\, where understanding at the atomistic and electronic level is needed. In this context\, quantum Monte Carlo methods are first-principle electronic structure approaches that provide a stochastic solution to the Schrödinger equation and are placed at the high-end in the accuracy ladder of electronic structure methods\, representing a powerful tool when conventional techniques such as density functional are not reliable. Furthermore\, quantum Monte Carlo methods are among the few approaches in the field of quantum simulations that can fully exploit the potential of upcoming exascale supercomputers. \nThis workshop will provide a comprehensive introduction to QMC methods and their practical application in molecular systems with the combined use of Quantum Package and the quantum Monte Carlo CHAMP code developed in the context of European Commission funded TREX CoE. \nThe workshop will be held online from 09:00 to 13:00 on 26\, 27\, 30\, 31 January 2023. \nThe workshop targets Ph.D. students and young researchers with no previous experience on QMC methods. It will provide both lectures\, and hands-on tutorials running on LUMI\, the first pre-exascale supercomputer of the EuroHPC Joint Undertaking which has now become the fastest and most energy-efficient supercomputer in Europe. \nMain takeaways\n\nA comprehensive overview of the foundations of QMC and its application to molecular systems.\nUnderstand how QMC methods can help to solve current challenging problems in chemistry.\nHands-on experience with practical QMC simulations based on Quantum Package and CHAMP codes.\nGet familiar with one of the best scientific computing environments for cutting-edge research.\n\nPrerequisites\nThis training is intended for Ph.D. students and young researchers 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 \nNo previous experience on QMC methods is required. \nCompute Resources\nTeams attending the event will be given access to a EuroHPC GPU cluster for the duration of the hackathon. \nAgenda\nDay 1\, January 26\, 2023 \n[ninja_tables id=”18604″] \nDay 2\, January 27\, 2023 \n[ninja_tables id=”18605″] \nDay 3\, January 30\, 2023 \n[ninja_tables id=”18606″] \nDay 3\, January 31\, 2023 \n[ninja_tables id=”18607″] \nRegistration\nPlease register by following this link https://events.prace-ri.eu/event/1471/registrations/1086/\nApplication deadline: 20 January 2023\, 12:00 CET \nAbout the workshop\nThe workshop is jointly organised by:\nTREX – the targeted Center of Excellence for the community of quantum chemistry funded by the European Commission. TREX gathers a set of excellent European leading scientists working on quantum mechanical simulations of extreme accuracy in the framework of stochastic quantum Monte Carlo methods. It aims at developing\, promoting and maintaining open-source high-performance software solutions in the field of quantum chemistry\, which will readily adopt upcoming exascale architectures.\nENCCS – EuroCC National Competence Center Sweden – a national centre that supports industry\, academia and public administration in using and accessing HPC. ENCCS is part of the EuroCC project\, which leads the initiative to form and coordinate competence centres in high-performance computing across 33 European countries. \nImportant Dates\n\nRegistration is open until 20 January 2023\, 12:00 CET\nSelected participants will be announced on 20 January 2023\n\nContact\nFor any questions contact us at training@enccs.se \nFollow our Events Schedule\nFollow us on Twitter and subscribe to our Newsletter to stay tuned to our events and other news.\n\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/2023-01-chemical-accuracy-with-quantum-monte-carlo/
LOCATION:Online
CATEGORIES:ENCCS Event
ATTACH;FMTTYPE=image/jpeg:https://media.enccs.se/2022/12/T-Rex-chemical-accuracy.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20230221T090000
DTEND;TZID=Europe/Stockholm:20230222T130000
DTSTAMP:20260422T235338
CREATED:20221025T104605Z
LAST-MODIFIED:20230116T102529Z
UID:17728-1676970000-1677070800@enccs.se
SUMMARY:SciML GPU Bootcamp
DESCRIPTION:Welcome to this SciML GPU Bootcamp! This online event will take place during two half-days on 21-22 February 2023 and is designed to teach researchers and engineers how scientific machine learning (SciML) can address domain-specific data challenges and extract insights from scientific datasets. The Bootcamp is co-organised by ENCCS\, OpenACC.org and NVIDIA. \nSciML is an emerging multidisciplinary field which includes elements from applied and computational mathematics\, computer science and the physical sciences. In particular\, physics-informed neural networks (PINNs)\, a class of Deep Learning (DL) networks\, can be applied to scientific applications solving linear and non-linear equations with demanding accuracy and computational performance requirements. PINNs are specifically designed to integrate scientific computing equations\, such as Ordinary Differential Equations (ODE)\, Partial Differential Equations (PDE)\, non-linear and integral-differential equations into the DL network training. \nThis bootcamp introduces SciML with PINNs and gives participants a hands-on experience with working on a PDE solver NVIDIA Modulus\, a neural network framework that blends the power of physics in the form of governing PDEs with data to build high-fidelity\, parameterized surrogate models with near-real-time latency. You will be guided through step-by-step instructions with teaching assistants to study the core concepts of neural operators\, PINNs\, and how to apply them to scientific problems. \nThe bootcamp will be hosted online in the Central European Time (CET) zone. All communication will be done through Zoom\, HackMD and email. \nEvent Format\nThe bootcamp will be hosted online in the Central European Time (CET) zone. All communication will be done through Zoom\, HackMD and email. \nPrerequisites\nBasic experience with Python. No GPU programming or AI knowledge is required. \nThis event has limited capacity\, so please make sure that prerequisites are met before applying. You will be receiving an acceptance email with details on how to participate. \nCompute Resources\nTeams attending the event will be given access to a EuroHPC GPU cluster for the duration of the hackathon. \nAgenda\nDay 1\, February 21\n[ninja_tables id=”17733″] \nDay 2\, February 22\n[ninja_tables id=”17734″] \nRegistration\nPlease register by following this link https://events.prace-ri.eu/event/1461/registrations/1077/\nApplication deadline: February 7 \nContact\nFor any questions contact us at training@enccs.se \nFollow our Events Schedule\nFollow us on Twitter and subscribe to our Newsletter to stay tuned to our events and other news.\n\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/2023-02-sciml-gpu-bootcamp/
LOCATION:Online
CATEGORIES:ENCCS Event
ATTACH;FMTTYPE=image/jpeg:https://media.enccs.se/2022/10/NVIDIA-OpenACC-ENCCS.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20230224T090000
DTEND;TZID=Europe/Stockholm:20230224T120000
DTSTAMP:20260422T235338
CREATED:20230117T103918Z
LAST-MODIFIED:20230124T113613Z
UID:19863-1677229200-1677240000@enccs.se
SUMMARY:Creative AI Webinar
DESCRIPTION:About the event\n\n\n\nThe last year has seen an explosion in “creative Al”\, in particular\, the performance of text generation models (such as chatGPT) and image generation models (such as Stable Diffusion\, Dalle-2 and Midjourney) has left many outside of the field shocked by the suddenly impressive capabilities of Al. \n\n\n\nIn this three-hour webinar\, we will give an overview of where these models come from\, how they work and what can be expected in the future.  \n\n\n\n\nIn the first part\, we will start by framing what we mean by creative Al. This will be followed by going back to the heart of deep learning: representation learning. We will discuss Auto Encoders and their wider family and show how latent diffusion models work on a high level. We will then show how this can be used to build generative models which are the building blocks of Stable Diffusion and DALL-E-2.\n\n\n\nIn the second part\, we will discuss language models\, some of their history and the motivation for their use in deep learning. We will give an overview of the Transformer architecture and how it has accelerated the progress in language modelling\, going from a pre-training task to being able to solve problems without retraining. We will show how this can be taken steps further by augmenting the language model with other general tasks\, resulting in something like chatGPT.\n\n\n\nIn the end\, we will forecast some of the impacts of these technologies and invite to an open discussion about the topic of creative Al.\n\n\n\n\nPrerequisites\n\n\n\nThe webinar will be on a popular science level\, you are not assumed to be a machine learning expert but should know what it is and have a basic knowledge of neural networks. \n\n\n\nRegistration\n\n\n\nYou can register for this event at https://events.prace-ri.eu/event/1482/registrations/1097/ \n\n\n\nContact\n\n\n\nFor any questions contact us at training@enccs.se \n\n\n\nFollow our Events Schedule\n\n\n\nFollow us on Twitter and subscribe to our Newsletter to stay tuned to our events and other news. \n\n\n\n———— \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/creative-ai-webinar-feb-2023/
LOCATION:Online
CATEGORIES:ENCCS Event
ATTACH;FMTTYPE=image/jpeg:https://media.enccs.se/2023/01/creative-ai-image-3.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20230307T090000
DTEND;TZID=Europe/Stockholm:20230316T170000
DTSTAMP:20260422T235338
CREATED:20221129T081832Z
LAST-MODIFIED:20230116T104601Z
UID:18447-1678179600-1678986000@enccs.se
SUMMARY:AMD GPU Hackathon
DESCRIPTION:About the event\nDardel is a Swedish flagship supercomputer operated by PDC at KTH in Stockholm. It is an HPE Cray EX system with AMD EPYC™ 64 core CPUs and AMD Instinct MI250X GPUs. Compute time on Dardel is available for academic research via NAISS. \nThis hackathon is for teams of research software developers who want to accomplish one or more of the following goals: \n\nPort their code to run on AMD Instinct™ GPUs using a GPU programming framework like HIP\, OpenMP\, SYCL etc.\nImprove the performance of a code that already runs on AMD Instinct™ GPUs.\nScale up their codes to multiple AMD Instinct™ GPUs.\n\nDuring the hackathon\, project teams will be paired up with expert mentors from HPE\, AMD\, PDC and ENCCS who will guide them during the hackathon to accomplish their stated goals. Teams should have at least two members who are prepared to work full-time on their projects for the duration of the hackathon. We furthermore also strongly encourage diversity in project teams. \nLocation\nThis hackathon will take place over four days split over two weeks. The first day of the hackathon\, March 7\, will be online while the main work will be hosted on-site on KTH Campus at Drottning Kristinas väg 61\, 114 28 in Stockholm\, Sweden\, on March 14-16. \nRequirements\n\nTeams should consist of at least two\, and preferably three\, members who are ready to actively participate during the event.\nTeams should know their application well and have the programming experience to modify the code.\nProjects should be under an open-source license.\n\nNo advanced GPU skills are required\, but it is helpful for teams to know the basics of GPU programming and profiling. Team members should get familiar with aspects of the AMD ROCm™ open software and the AMD HIP programming language (https://docs.amd.com/). \nTravel and accommodation\nAirport (Arlanda) to Stockholm city\nThere are different ways to reach the city from Arlanda airport. \n\nArlanda Express (high-speed train)\nFlygbussarna (Bus)\nPublic transportation (Commuter rail)\n\nAccommodation\nThere are multiple hotels and hostels near Drottning Kristinas väg 61. You can check the following websites for more information \n\nView Stockholm has information on hotels and hostels around and in the Stockholm area\nThe usual suspects in online booking like booking.com and airbnb.com have also large selection of accommodations near the hackathon premises\n\nTentative Agenda\nMarch 7 \n[ninja_tables id=”18404″] \nMarch 13 \n[ninja_tables id=”18405″] \nMarch 14 \n[ninja_tables id=”18406″] \nMarch 15 \n[ninja_tables id=”18407″] \nMarch 16 \n[ninja_tables id=”18408″] \nCompute Resource\nTeams attending the event will be given access to the Dardel system ahead of the hackathon. \nProject Submission\nTo apply for participation in this hackathon please describe your project in detail in the registration form below. Note that all team members should register and fill the “Personal information” section\, but only one person in your team needs to fill the “Project description” section. Applications will be reviewed by an expert panel according to the following requirements: \n\nThe project team should consist of at least two members who know the code well.\nDiversity in the project team.\nThe project should be described in sufficient detail and have well-defined goals for efficiency or for scaling up.\nThe code should have a significant impact (or large potential for significant impact) for a specific organisation or a wide community\nThe code should be open source. A link to the source code should be included in the application.\nProjects should have a build system based on standard tools like Make or CMake\, and teams should be prepared to compile the code on the Dardel system before the hackathon.\nAvailability of expertise needed to successfully support the project.\n\nAhead of the hackathon\, accepted teams should be prepared to: \n\nGo through learning resources on the AMD ROCm™ software ecosystem recommended by the organisers.\nMake an effort to profile their code ahead of the hackathon for relevant input decks to identify performance critical code regions and possibly performance bottlenecks.\nBe ready to (virtually) meet at least once with their expert mentor(s) to prepare for the hackathon.\nInstall\, compile\, and execute their application on Dardel to ensure that nothing is missing in the Dardel environment.\nCommit to providing feedback to PDC/KTH local support team and expert mentors.\n\nRegistration\nPlease register by following this link https://events.prace-ri.eu/event/1469/\nApplication deadline: Feb 7 \nContact\nFor any questions contact us at training@enccs.se \nFollow our Events Schedule\nFollow us on Twitter and subscribe to our Newsletter to stay tuned to our events and other news.\n\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/2023-03-amd-gpu-hackathon/
LOCATION:Online
CATEGORIES:Collaboration Event,ENCCS Event,Hackathon
ATTACH;FMTTYPE=image/jpeg:https://media.enccs.se/2022/11/amd-hpe-GPU-hackathon.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20230418T090000
DTEND;TZID=Europe/Stockholm:20230419T160000
DTSTAMP:20260422T235338
CREATED:20230315T104704Z
LAST-MODIFIED:20230405T110317Z
UID:23019-1681808400-1681920000@enccs.se
SUMMARY:Advanced Deep Learning with Transformers
DESCRIPTION:Overview\n\n\n\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 to which deep learning can be applied. \n\n\n\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. \n\n\n\nThe workshop is free of charge and will be conducted entirely online using zoom. \n\n\n\nPrerequisites\n\n\n\nTo successfully participate in this workshop\, you should have a good understanding of 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. \n\n\n\nAgenda\n\n\n\nTo be announced soon. \n\n\n\nRegistration\n\n\n\nThis event is fully booked. \n\n\n\nFollow our Events Schedule\n\n\n\nFollow us on Twitter and subscribe to our Newsletter to stay tuned to our events and other news. \n\n\n\n———— \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/2023-02-advanced-dl-with-transformers/
LOCATION:Online
CATEGORIES:ENCCS Event
ATTACH;FMTTYPE=image/jpeg:https://media.enccs.se/2023/03/Deep-learning-with-Transformers-345.jpg
END:VEVENT
END:VCALENDAR