Register event
4 events found

Keywords: Autoencoder  or Model Diffusion  or dataset  or HPC 

  • LEAPS-INNOV Workflow Co-Working Sprint

    10 February 2023

    LEAPS-INNOV Workflow Co-Working Sprint https://pan-training.eu/events/leaps-innov-workflow-co-working-sprint In LEAPS-Innov WP7, we are working on novel compression schemes for data recorded at synchrotron light sources. In the process, we discovered a lot of genuine ways to reconstruct and record data. Unfortunately, many of these workflows were never shared or archived in a way that has reproducibility in mind. With this co-working sprint, we would like to change that! The goal of this co-working sprint is to pair scientists/engineers with people experienced in using a workflow engine that fosters reproducibility. They then work together (remotely) over the course of 6 weeks to facilitate an automated workflow (e.g. that is fit for HPC execution). The final goal is to publish this workflow on platforms like WorkflowHub so that the community can reuse these workflows. This event marks the kick-off of our co-working sprint. 2023-02-10 10:00:00 UTC 2023-02-10 21:00:00 UTC Peter Steinbach, Helmholtz-Zentrum Dresden-Rossendorf LEAPS p.steinbach@hzdr.de [] any member of a LEAPS center meetings_and_conferences registration_of_interest reproducibilityworkflowsHPCdata sciencecompressionmachine learning
  • Deep Learning School

    21 - 24 May 2024

    Filderstadt, Germany

    Deep Learning School https://pan-training.eu/events/deep-learning-school-46deca27-6b8d-4b37-bbe7-5c5e63ad2197 The Active Training Course "Advanced Deep Learning" is hosted over 4 days at (location tba) by the community organization DIG-UM with support from the BMBF-funded ErUM-Data-Hub. The event serves the professional education of young scientists belonging to the ErUM Community. The intensive course on Graph Neural Networks, Transformers, Normalizing Flows and Autoencoders will be held from 21.05.24 - 24.05.24. The course includes a challenge to be worked out and presented by participant subgroups. The workshop is aimed at deep-learning enthusiasts from all ErUM communities (Research on Universe and Matter) who have prior knowledge of neural networks and applied basic concepts of deep learning. A fee of 300€ will be charged for participation in the course. The workshop fee includes the cost of the workshop, accommodation and catering. Registration closes tba. 2024-05-21 17:00:00 UTC 2024-05-24 14:00:00 UTC ErUM-Data-Hub (BMBF) Bernhäuser Forst, Filderstadt, Germany Bernhäuser Forst Filderstadt Germany 70794 [] [] [] workshops_and_courses [] Graph Neural NetworksAutoencoderModel DiffusionNormalizing Flows
  • Fundamentals of Scientific Metadata: Why Context Matters

    18 - 19 June 2024

    Fundamentals of Scientific Metadata: Why Context Matters https://pan-training.eu/events/fundamentals-of-scientific-metadata-why-context-matters This course is an entry-level introduction to the fundamentals of scientific metadata for PhD students, early-career researchers, and postdocs. In this course we will look at the intricate relationship between (digital) research data, metadata, and knowledge; discuss why metadata is critical in today’s research; and explain some of the technologies and concepts related to structured machine-readable metadata. Have you ever struggled to make sense of scientific data provided by a collaborator? Or, even worse, to understand your own data five months after publication... Do you have difficulties in meeting the data description requirements of your funding agency? Do you want your data to have lasting value; but don’t know how to ensure that? Precise and structured descriptions of research data are key for scientific exchange and progress - and for ensuring recognition of your effort in data collection. The solution: make your data findable, accessible, interoperable, and reusable - by describing them with metadata. This course is targeted especially at scientific staff and researchers in the Helmholtz Research Field Matter but is open to anyone who would like to better understand research data annotation with metadata. *What You Will Learn*: * Understanding the vital differences between data and metadata. * Techniques for annotating research data using structured metadata. * Identifying and implementing appropriate metadata frameworks and data repositories. * Developing basic skills in Markdown, JSON, XML. * Exploring tools to improve your metadata annotation capabilities. * Recognizing the role of structured metadata in enhancing your scientific visibility. In this course, we will specifically focus on matter-related datasets, formats, and metadata schemas. However, it is open to anyone interested in learning about structured metadata and its importance in scientific research. 2024-06-18 09:00:00 UTC 2024-06-19 12:30:00 UTC [] [] [] workshops_and_courses [] metadatadata managementdata repositorymatterdataset
  • alpaka and openPMD Workshop & Hackathon

    23 - 25 October 2024

    Dresden, Germany

    alpaka and openPMD Workshop & Hackathon https://pan-training.eu/events/alpaka-and-openpmd-workshop-hackathon Dear HPC Enthusiasts, We are excited to invite you to a dynamic three-day workshop and hackathon focused on two powerful tools for high-performance computing: alpaka and openPMD. This event will bring together developers, researchers, and enthusiasts from diverse backgrounds to collaborate, learn, and innovate. For a brief description of these libraries, see below. ## What to Expect: * Hands-on Tutorials: Participate in guided, hands-on sessions to set up your environment and run your first alpaka and openPMD applications. * Engagement with Experts: Engage with leading experts of these libraries who will share insights, best practices, tips and their experiences. ## What we will cover: * Introduction to alpaka: Learn about the alpaka library, its architecture, and how it enables portable and performant parallel programming across various hardware backends. * Optimizing with alpaka: Discover advanced techniques for optimizing kernels and managing memory in alpaka to achieve maximum performance. * Getting Started with openPMD: Dive into the openPMD standard, exploring how it facilitates scalable I/O for scientific data in simulations and experiments. * Integrating openPMD with Simulation Codes: Learn best practices for integrating openPMD with your existing simulation frameworks and how to leverage its full potential. * Showcasing use of alpaka and openPMD with PIConGPU: PIConGPU is a user of both these libraries and leverages them to do exascale simulations. Take a short look inside PIConGPU to see how these libraries are used in a large project and run a test simulation with PIconGPU. Join us for an engaging and productive event where innovation meets collaboration. Whether you are new to alpaka and openPMD or an experienced user, this workshop and hackathon will provide valuable insights and opportunities to advance your skills and projects and at the end you will be ready to use these powerful libraries in your own projects. Register now to secure your spot. We look forward to seeing you there! 2024-10-23 09:00:00 UTC 2024-10-25 00:00:00 UTC Dresden, Germany Dresden Saxony Germany HZDR [] [] [] [] openPMDalpakahigh-performance computingHPCPIConGPU

Note, this map only displays events that have geolocation information in our catalogue.
For the complete list of events in our catalogue, click the grid tab.