High-performance and Disruptive Computing in Remote Sensing (HDCRS)

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


Events & Initiatives


Ellis-ESA Workshop

Ellis-ESA Workshop May 27, 2021 Online Event Page Workshop on Quantum Algorithms and Machine Learning for huge Data Analysis, Simulation and potential Earth Observation Applications.


Big Data from Space (BiDS)

Big Data from Space (BiDS) May 18-20, 2021 Online More info Conference on research and innovation development in the field of Big Data from Space


Introduction to Scalable Deep Learning

Introduction to Scalable Deep Learning May 3-7, 2021 Online More info PRACE training course on scaling machine learning and deep learning models on high performance


Trillion Pixel Challenge for GeoAI

Trillion Pixel Challenge for GeoAI April 21-22, 2021 Online More info Event virtually hosted by the Oak Ridge National Laboratory on AI methods for high-resolution


Interactive High-Performance Computing with Jupyter

Interactive High-Performance Computing with Jupyter April 20-22, 2021 Online More info PRACE training course on Interactive High-Performance Computing with Jupyter Details General Information Interactive exploration

HDCRS Chairs

Prof. Dora Blanco Heras


Dr. Rocco Sedona


Iksha Gurung


Prof. Dr. Sudan Jha


HDCRS Summer Schools