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

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

The mission of HDCRS

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

Focus on three major fields

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.
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