Our Mission
The HDCRS working group is part of the IEEE GRSS Earth Science Informatics (ESI) Technical Committee. The main objective of HDCRS is to connect a community of interdisciplinary researchers in remote sensing who are specialized on high-performance and distributed computing, quantum computing and parallel programming models with specialized hardware accelerators.
HDCRS disseminates information and knowledge through educational events, special sessions and tutorials at conferences and publication activities. The group welcomes anyone interested from academia and industry to contribute to our mission.
Research Topics
Supercomputing and Distributed Computing
Supercomputing is the processing of complex or data-intensive problems with a vast number of highly interconnected compute nodes that work in parallel (i.e., HPC). Distributed computing uses multiple compute resources not necessarily located in close proximity to one another but connected via Internet or other networks (e.g., cloud computing).
Specialized Hardware Computing
Specialized hardware accelerators (e.g., GPUs, FPGAs, ASICs) can perform some computing tasks more efficiently than is possible on general-purpose CPUs. Their high processing performance and energy efficiency is due to a combination of specialized operations, parallelism, efficient memory systems, and reduction of overhead.
Quantum computing
Quantum computing exploits explicitly quantum mechanical properties (i.e., superposition, entanglement, interference) of matter to perform computations. Emerging quantum technologies (e.g., gate-based and adiabatic quantum computing) have the potential to improve performance and solve previously intractable problems
HDCRS News
Events & Initiatives
Tutorial on ”Machine Learning Lifecycle in High Performance Computers and Cloud: A Focus on Geospatial Foundation Models”
The tutorial will begin by covering recent advancements in High-Performance Computing (HPC) and Cloud Computing, as well as the basics of Foundation Models (FMs).
Tutorial on ”Quantum Computing for Earth Observation”
This tutorial offers useful insights into the growing field of quantum computing and its impact on Earth Observation.
Lecture Material from ”Scalable Machine Learning with High Performance and Cloud Computing”
Lecture Material from “Scalable Machine Learning with High Performance and Cloud Computing” Lecture 1: Introduction Get lecture Lecture 2: Levels of Parallelism and High Performance Computing Get lecture Get notebook
GRSS ESI HDCRS End-to-End Machine Learning with High Performance and Cloud Computing
This tutorial provides a complete overview of the latest developments of High Performance Computing (HPC) systems and Cloud Computing services.
IEEE GRSS Webinar
IEEE GRSS Webinar March 23, 2021 Online Event Page This webinar will introduce the new working group “High-performance and Disruptive Computing in Remote Sensing” (HDCRS) of the GRSS Earth Science
Special Issue on ”Quantum Computing for Earth Observation”
Special Issue on ”Quantum Computing for Earth Observation” December 31, 2022 IEEE JSTARS JStars Page This special issue aims to introduce this extraordinary field to the GRSS community, present the
HDCRS Chairs
Prof. Dora Blanco Heras
Lead
Dr. Rocco Sedona
Co-Lead
Iksha Gurung
Co-Lead
Prof. Dr. Sudan Jha
Co-Lead
