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 which aim is to advance the application of informatics to geosciences and remote sensing.
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 and parallel programming models with specialized hardware. HDCRS disseminates information and knowledge through educational events, special sessions and tutorials at conferences and publication activities. Interested persons from academia and industry are welcome to join and contribute to the group .
Focus on three major fields
Supercomputing and Distributed Computing
Supercomputing refers to the processing of massively complex or data-laden problems using a high number of compute systems working in parallel (i.e., a supercomputer). In distributed computing ,the computer resources are geographically spread around the World and connected via the internet (e.g., cloud computing).
Specialized Hardware Computing
Specialized hardware devices such as GPUs and FPGAs bridge the gap towards onboard and real-time analysis of remote sensing data. The increasing computational demands of remote sensing applications can benefit from these compact hardware devices, taking advantage of their relatively low cost as compared to supercomputers.
Quantum computing
Quantum computing exploits explicitly quantum mechanical properties (superposition, entanglement, interference) of matter in order to do calculations. It has the potential to improve performance, decrease computational costs and solve previously intractable problems in remote sensing.
