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
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 and analysis of large amounts
High-performance and Disruptive Computing in Remote Sensing (HDCRS): a new working group of the GRSS Earth Science Informatics Technical Committee
This webinar will introduce the new working group “High-performance and Disruptive Computing in Remote Sensing” (HDCRS) of the GRSS Earth Science Informatics Technical Committee (ESI TC). 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, disruptive computing (e.g., quantum computing) and parallel programming models with specialized hardware (e.g., GPUs, FPGAs).
Special Issue on “Cloud Computing in Google Earth Engine for Remote Sensing”
Special Issue on “Cloud Computing in Google Earth Engine for Remote Sensing” January 1, 2020 IEEE JSTARS JStars Page This special issue will collect the most recent research works related
HDCRS Chairs
Prof. Dora Blanco Heras
Lead
Dr. Rocco Sedona
Co-Lead
Iksha Gurung
Co-Lead
Prof. Dr. Sudan Jha
Co-Lead
