General information

Welcome to the summer school organized by the High-Performance and Disruptive Computing in Remote Sensing (HDCRS) Working Group.

This school is the perfect venue to network with students and young professionals, as well as senior researcher and professors who are world-renowned leaders in the field of remote sensing and work on interdisciplinary research with high performance computing, cloud computing, quantum computing and parallel programming models with specialized hardware technologies.

Contents

Each year the school focuses on specific subjects that are included in the topics addressed by HDCRS. This year the programme includes:

  • Topic 1: From HPC to Quantum paradigms in Earth Observation
  • Topic 2: Programming GPUs and Accelerators with Directives
  • Topic 3: Scaling Machine Learning for Remote Sensing using Cloud Computing

Registration

Participation is free of charge. For the first 30 registrations, we will provide special accounts  for accessing computing resources to be used during the practical sessions. The rest of the attendees will be able to participate as viewer only.

Venue

This school will take place as an online event. The link to the streaming platform will be provided to the registrants only.

Recordings

The lectures will be recorded and made available online through the GRSS YouTube channel.

Organizers

Gabriele Cavallaro (Forschungszentrum Jülich)

Dora Blanco Heras (University of Santiago de Compostela)

Wu Zebin (Nanjing University of Science and Technology)

IEEE GRSS Earth Science Informatics Technical Committee (ESI TC)

Simulation and Data Lab Remote Sensing (University of Iceland)

Center of Excellence "Research on AI- and Simulation-Based Engineering at Exascale” (CoE RAISE)

Sponsors

Summer school on High-performance and Disruptive Computing in Remote Sensing
Date:
31/05/2021 - 03/06/2021
University of Iceland (Online event)

Every year HDCRS organizes a summer school with different instructors to teach about specific research topics.

To the event page