Home ITCAbout ITCCentres of expertiseCenter of Expertise in Big Geodata ScienceCapacity DevelopmentIntroduction to Interactive Geospatial Data Analysis at HPC Scales, May 2023

Introduction to Interactive Geospatial Data Analysis at HPC Scales

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With the volume of Remote Sensing (RS) and Earth Observation (EO) data increasing incessantly, existing and future workflows often must be scaled up beyond the computational and storage resources available in workstations. In this regard, solutions using high-throughput and high-performance computing (HTC/HPC) systems, as an additional alternative to cloud-based solutions, are of relevance for the academic community. Offering full control over available hardware, software, and data, these systems are excellently suited to serve the needs of researchers and can readily support the migration of existing workflows. Furthermore, they are generally available through national infrastructure providers on a merit-driven no-cost basis.

This workshop organized by the Netherlands eScience Center will cover the basic tenets of the use of large academic computing resources, and introduce participants to a Dask-based ecosystem, familiarizing them with the use of the Remote Sensing Deployable Analysis environmenT (RS-DAT) framework to scale EO and RS data analysis using HTC/HPC systems and associated storage resources. The session will cover the tools for data access, retrieval and storage, and demonstrate the scaling up of processing and analysis workflows focused on EO datasets. Participants will perform hands-on research using the RS-DAT framework on a HTC/HPC system.

Through this workshop, participants will learn how to:

Prerequisites

We strongly advise participants to familiarize themselves with the contents of the (nascent) Carpentries Incubator Introduction to Geospatial Raster and Vector Data with Python.

Date

15 May 2023 (One-day training)

Venue

ITC Langezijds Building (ITC), Room 2105
Hallenweg 8, 7522 NH, Enschede

Registration

The workshop is open to UT staff and students. Priority will be given to ITC staff and students.

Registration is required to attend the workshop. Registration is closed.

The capacity is limited to 25 people. In case of more registrations, the participants will be selected randomly, considering the balance between staff and students.

Instructors

Dr. Francesco Nattino
Research Software Engineer, eScience Centre

Dr. Francesco Nattino has a master's degree in chemistry from the University of Milan. His interest in the use of computer simulations to answer research questions brought him to specialize in Theoretical and Computational Chemistry, a field in which he carried out his PhD at Leiden University. After working as a postdoctoral researcher in the Materials Science department at EPFL, Switzerland, Francesco joined the Netherlands eScience Center as a Research Software Engineer in 2020. In such a position, he has combined his experience in HPC/HTC with a newly developed passion for remote-sensing and geospatial data applications. Beside his involvement in research projects, he is also active in teaching: he is a Carpentries instructor and one of the developers of the Carpentries Incubator lesson "Introduction to Geospatial Raster and Vector Data Using Python".

Dr. Meiert Willem Grootes
Senior Research Software Engineer, eScience Centre

Dr. Meiert Willem Grootes is a Senior Research Software Engineer at the Netherlands eScience Center. After obtaining a PhD in astrophysics from the University of Heidelberg he pursued research on galaxy evolution as an independent postdoctoral fellow at the Max-Planck Institute for Nuclear Physics and ESA, including work on data analysis pipelines for satellite images, machine learning based galaxy classification techniques, radiative transfer models, and statistical analysis. At the eScience center he is involved in projects from the Environment & Sustainability and Natural Sciences & Engineering sections, with a focus on earth observation, data storage and access, and machine learning. He is further interested in HPC/HTC and hardware acceleration, and their application in research

Dr. Pranav Chandramouli
Research Software Engineer

Dr. Pranav Chandramouli is a Research Software Engineer at the Netherlands eScience Center. He has a PhD in the field of applied mathematics from INRIA, France, where he developed the 4DVar suite of models for variational data assimilation in turbulent flows. He has a background in CFD, climate models, and turbulence. At the eScience center, he works in the Environment and Sustainability section on projects related to earth observation, machine learning, and statistical analysis amongst other topics. He is also interested in the fields of quantum computing, artificial intelligence, GPUs and HPC/HTC.

Dr. Lodewijk Nauta (Guest Speaker)
Technical Advisor, SURF

Dr. Lodewijk Nauta is a Technical Advisor at SURF. SURF is the Dutch cooperative organization that provides Dutch educational and research institutions with an integrated ICT research infrastructure, services, and expertise. Before joining SURF Lodewijk finished his PhD in high energy physics in 2022. He did his research in Neutrino Oscillations at the Nikhef institute using the novel KM3NeT detector. In his current position he helps scientists in fields ranging from fundamental physics to genomics to astronomy successfully run their programs on the High Throughput Compute clusters available at SURF.

Schedule

9:30 - 9:45

Welcome and icebreaker

9:45 - 10:00

SURF services for research and SPIDER (Guest speaker: Lodewijk Nauta, SURF)

10:00 - 11:00

HPC, RS-DAT, and the EO software ecosystem

11:00 - 11:15

Coffee break

11:15 - 12:30

Deployment with RS-DAT and data retrieval

12:30 - 13:30

Lunch break

13:30 - 15:00

Scaling EO workflows with HPC

15:00 - 15:15

Coffee break

15:15 - 16:30

Hands-on session

16:30 - 17:00

Wrap-up

17:00

END

This event is supported by the Netherlands eScience Center Fellowship Grant NSESC.ESCF.2022.013.

For more information or questions, please contact dr. ing. Serkan Girgin (s.girgin@utwente.nl).