Case Studies in High Throughput Computing (HTC) using Condor for Physics-Based Remote Sensing Algorithm Development and Application

Rolando Raqueno, Robert Krzaczek
2008 IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium  
Problem: The use of physics-based numerical models has been an emerging paradigm in the analysis of remote sensing data and the development of exploitation algorithms. Iterative computing of these models, however, has been a restricting factor in this process. We present several remote sensing research case studies conducted by the Digital Imaging and Remote Sensing Laboratory at RIT that have been successfully addressed by a High Throughput Computing (HTC) system and highlight the
more » ... ht the computational gains realized by this HTC framework using several hundred idle workstations. Case Studies: • Developed by University of Wisconsin http://www.cs.wisc.edu/condor/
doi:10.1109/igarss.2008.4779541 dblp:conf/igarss/RaquenoK08 fatcat:s37ldza2tfaxdpgv747idm5xq4